Available to hire
I am an experienced and results-driven senior AI/ML engineer and data scientist with over 12 years of hands-on experience in building scalable machine learning systems, analytics pipelines, and experimentation frameworks at leading global companies such as LinkedIn, TikTok, and Levi Strauss & Co. My expertise spans developing real-time neural networks, recommendation engines, forecasting models, and causal analysis workflows serving large-scale user bases.
I have a strong background in MLOps practices including CI/CD automation, model monitoring, cloud-native deployment, and GPU-based training infrastructure across AWS, Azure, and GCP. I am proficient with industry-standard tools and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, XGBoost, Scikit-learn, and MLflow, and specialize in deep learning, NLP, probabilistic modeling, time series forecasting, and explainable AI. I am known for consistently delivering applied machine learning solutions that enhance system reliability, business intelligence, and user-centric product experiences.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior AI/ML Engineer & Data Scientist at LinkedIn
July 1, 2025 - July 21, 2025Built scalable machine learning pipelines for personalized recommendations and job matching using PyTorch, TensorFlow, and MLflow, improving user engagement. Deployed real-time inference systems using cloud-native tools and stream processing platforms. Designed automated model retraining and monitoring workflows with Airflow and Prometheus, enabling adaptive models aligned with evolving user behavior. Collaborated with research teams to build media understanding solutions using multi-modal learning and NLP. Developed transformer-based models and fine-tuned LLMs like LLaMA and FLAN-T5 for content optimization and job matching. Conducted exploratory data analysis and cohort segmentation to inform model design. Implemented model governance with MLflow Registry and GitOps practices. Used SQL for large-scale data extraction and aggregation. Managed ML services deployment across AWS, Azure, and Kubernetes. Optimized feature storage and improved data ingestion with Delta Lake. Mentored junior
Lead Machine Learning Engineer & AI Solutions at TikTok
December 1, 2024 - July 21, 2025Led AI risk detection architecture including fraud blocking, trust scoring, and suspicious activity mining to ensure platform security. Developed and deployed deep learning fraud detection models preventing over $12M in fraud, replacing third-party solutions. Created user segmentation models with deep neural embeddings for cluster-based personalization and tuning. Engineered recommendation engines using advanced transformer architectures and multimodal learning to enhance content relevance. Built predictive models for user behavior classification and risk scoring, improving detection accuracy and reducing false positives. Managed AI experimentation workflows including A/B testing and uplift modeling. Collaborated cross-functionally to align AI systems with compliance and user trust. Mentored ML engineers on real-time ML systems, model observability, version control, and reproducibility. Integrated monitoring frameworks with telemetry and dashboards for real-time performance tracking.
Lead Data Scientist & Data Analytics Specialist at Levi Strauss & Co.
March 1, 2023 - July 21, 2025Led development of global demand forecasting models using PyTorch, XGBoost, SQL, improving regional data-driven planning and forecast accuracy. Designed loyalty propensity deep learning models with Keras and TensorFlow, increasing redemption rates significantly. Refactored segmentation and targeting strategies to adjust for platform privacy updates, preserving revenue and engagement. Built traffic forecasting engines for brick-and-mortar retail using hybrid models and data pipelines, aiding operational planning post-COVID. Integrated Generative AI models to simulate customer responses and synthetic demand scenarios for promotion and inventory planning. Created simulation tools for promotional price impact analysis using probabilistic forecasting. Led store-level pricing tests including experiment design and impact analysis, informing strategic pricing.
Senior Data Scientist & AI Solutions Engineer at DigitasLBi North America
December 31, 2018 - July 21, 2025Developed advanced attribution models evaluating advertising campaign effectiveness using statistical and deep learning techniques. Created automated EDA and anomaly detection tools on third-party datasets with distributed computing frameworks, accelerating campaign insights. Built data pipelines using Apache Airflow with SQL transformations for automated performance insight delivery and large-scale marketing analytics. Implemented model training, deployment, and monitoring workflows on AWS infrastructure, establishing scalable MLOps foundations improving experiment velocity and reproducibility.
Healthcare Data Scientist at HSyE
December 31, 2016 - July 21, 2025Collaborated with healthcare teams to develop generative classification models linking risk factors to mental health outcomes. Led a national science funded research initiative analyzing healthcare referral pathways using probabilistic modeling and network analysis. Explored early LLM applications for summarizing patient histories and generating clinical narratives demonstrating NLP’s potential in healthcare. Translated complex analytics into accessible findings for public health stakeholders driving informed clinical and policy decisions.
Data Scientist at Tatvic
December 31, 2013 - July 21, 2025Developed predictive models and customer segmentation analysis using Pandas, NumPy, and scikit-learn to improve marketing effectiveness. Created time series forecasting models using Holt-Winters smoothing for website traffic prediction supporting budget and resource allocation. Contributed to product recommendation engine design using association rule mining and cleaned Google Analytics data enhancing product discovery and conversion. Automated marketing analytics workflows using R and secured API integrations enabling efficient weekly reporting.
Senior AI/ML Engineer & Data Scientist at LinkedIn
July 31, 2025 - July 21, 2025Built scalable machine learning pipelines for personalized recommendations and job matching, improving user engagement. Deployed real-time inference systems, reducing latency for millions of users. Designed automated retraining and monitoring workflows, partnered on multi-modal learning solutions, and developed transformer-based models for content discovery. Managed model governance and deployment using MLflow and cloud services (AWS, Azure, Kubernetes). Mentored junior engineers on cloud infrastructure and MLOps practices.
Lead Machine Learning Engineer & AI Solutions at TikTok
December 1, 2024 - July 21, 2025Led AI risk detection architecture including fraud blocking and trust scoring to ensure platform security. Developed deep learning fraud detection models saving over $12M. Engineered user segmentation models and next-gen recommendation engines using transformer architectures. Improved detection accuracy via predictive models and led AI experimentation workflows. Collaborated cross-functionally for compliance and performance. Mentored ML engineers on real-time ML systems and model observability.
Lead Data Scientist & Data Analytics Specialist at Levi Strauss & Co.
March 31, 2023 - July 21, 2025Led development of global demand forecasting models and loyalty propensity models, improving forecasting accuracy and redemption rates. Refactored segmentation in response to privacy updates, preserving revenue and engagement. Built traffic forecasting engines for retail operations and integrated Generative AI models for synthetic demand scenarios. Created promotional price change simulation tools and led store-level pricing tests informing strategic decisions.
Senior Data Scientist & AI Solutions Engineer at DigitasLBi North America
December 31, 2018 - July 21, 2025Developed advanced attribution models using statistical and deep learning for ad campaigns. Built automated tools for exploratory data analysis and anomaly detection accelerating campaign insights. Developed data pipelines with Airflow and AWS-based model training and monitoring workflows, establishing scalable MLOps foundations and improving experimentation velocity.
Healthcare Data Scientist at HSyE
December 31, 2016 - July 21, 2025Collaborated on generative classification models connecting risk factors with mental health outcomes. Led probabilistic modeling and network analysis research on healthcare referral pathways. Explored LLM applications for clinical narratives and facilitated accessible communication of complex health data for public health stakeholders.
Data Scientist at Tatvic
December 31, 2013 - July 21, 2025Developed predictive and customer segmentation models enhancing marketing. Built time series forecasting models for website traffic planning. Contributed to product recommendation engine designs and automated marketing analytics workflows using R and API integrations for efficient reporting.
Senior AI/ML Engineer & Data Scientist at LinkedIn
July 31, 2025 - July 31, 2025Built scalable machine learning pipelines for personalized recommendations and job matching using PyTorch, TensorFlow, and MLflow, improving user engagement. Deployed real-time inference systems with cloud-native tools and stream processing, reducing latency for millions of users. Designed automated model retraining and monitoring workflows using Airflow and Prometheus. Collaborated on multi-modal learning and embedding-based architectures to power intelligent content discovery. Developed and fine-tuned Large Language Models like LLaMA and FLAN-T5 to enhance personalization. Implemented model governance with MLflow Registry and GitOps, ensuring traceability and reproducibility. Managed production ML services using AWS, Azure ML, and Kubernetes with scalable feature stores. Mentored junior engineers on best practices in model lifecycle management and distributed training.
Lead Machine Learning Engineer & AI Solutions at TikTok
December 31, 2024 - July 31, 2025Led AI risk detection architecture including fraud blocking and suspicious activity mining to secure the platform. Developed a deep learning fraud detection model for financial transactions that prevented over $12M in fraud. Created user segmentation models using neural embeddings for personalized content strategies. Engineered next-gen recommendation engines with transformers and multimodal learning. Built predictive models for user behavior classification and risk scoring, improving detection accuracy. Led experimentation workflows like A/B testing and uplift modeling. Integrated model observability frameworks with telemetry for real-time monitoring. Mentored ML engineers on real-time systems, version control, and reproducibility.
Lead Data Scientist & Data Analytics Specialist at Levi Strauss & Co.
March 31, 2023 - July 31, 2025Led global demand forecasting models at the product level using PyTorch and XGBoost, improving forecasting accuracy. Developed loyalty propensity models with deep learning, resulting in a 12-point increase in redemptions. Refactored segmentation and targeting logic in response to privacy updates using SQL and RESTful APIs. Built a traffic forecasting engine for retail to support operational planning post-COVID. Integrated Generative AI models for synthetic demand scenario generation. Created simulation tools analyzing promotional price impacts with probabilistic methods. Led store-level pricing tests and experiment design informing strategic pricing decisions.
Senior Data Scientist & AI Solutions Engineer at DigitasLBi North America
December 31, 2018 - July 31, 2025Developed attribution models using statistical and deep learning techniques for advertising effectiveness. Built automated EDA and anomaly detection tools on third-party data with distributed computing. Developed data pipelines using Apache Airflow with SQL transformations to automate performance insight delivery. Implemented model training, deployment, and monitoring workflows using AWS EC2, S3, and SageMaker, establishing scalable MLOps for faster experimentation and reproducibility.
Healthcare Data Scientist at HSyE
December 31, 2016 - July 31, 2025Developed generative classification models uncovering mental health risk factor patterns. Led research funded by a national science organization analyzing referral pathways via probabilistic modeling. Explored early use of Large Language Models to summarize patient histories and generate clinical narratives. Translated complex analytical insights for public health stakeholders to inform clinical and policy decisions.
Data Scientist at Tatvic
December 31, 2013 - July 31, 2025Developed predictive models and customer segmentation with Pandas, NumPy, and scikit-learn to drive marketing decisions. Built time series forecasting models using Holt-Winters smoothing for daily website traffic predictions. Contributed to a product recommendation engine using association rule mining. Automated marketing analytics workflows with R and OAuth2-secured APIs for efficient weekly reporting.
Senior AI/ML Engineer & Data Scientist at LinkedIn
July 1, 2025 - August 20, 2025Built scalable machine learning pipelines for personalized recommendations and job matching using PyTorch, TensorFlow, and MLflow, enhancing user engagement. Deployed real-time inference systems with cloud-native tools reducing latency for millions of users. Designed automated model retraining and monitoring workflows using Airflow and Prometheus. Partnered with AI teams to develop multi-modal learning and embedding architectures. Developed transformer-based models and fine-tuned LLMs like LLaMA and FLAN-T5 for profile generation and job matching. Implemented model governance with MLflow and GitOps. Managed ML services on AWS, Azure ML, and Kubernetes ensuring scalability and high availability. Mentored junior engineers on ML lifecycle management and CI/CD.
Lead Machine Learning Engineer & AI Solutions at TikTok
December 1, 2024 - August 20, 2025Led AI risk detection architecture including fraud blocking and trust scoring at scale. Developed a deep learning fraud detection model preventing over $12M in fraud. Created user segmentation models with deep neural embeddings to enable cluster-based personalization. Engineered next-gen recommendation engines using transformer and multimodal learning techniques. Built predictive models for user behavior classification and risk scoring. Led experimentation workflows including A/B testing and uplift modeling. Collaborated cross-functionally to ensure AI systems compliance, performance, and trust. Mentored engineers in real-time ML systems, model observability, and reproducibility. Integrated observability frameworks to monitor precision, recall, latency, and drift in real time.
Lead Data Scientist & Data Analytics Specialist at Levi Strauss & Co.
March 1, 2023 - August 20, 2025Led development of global product-level demand forecasting models with PyTorch and XGBoost, improving accuracy. Designed and deployed loyalty propensity models using deep learning, boosting redemption rates. Refactored segmentation and targeting due to privacy updates leveraging SQL and REST APIs. Built traffic forecasting engine supporting retail labor and finance planning post-COVID. Developed generative AI models to simulate customer responses and demand scenarios. Created simulation tools for promotional price impact using probabilistic forecasting and SQL scenario modeling. Led store-level pricing test initiatives influencing strategic decisions.
Senior Data Scientist & AI Solutions Engineer at DigitasLBi North America
December 1, 2018 - August 20, 2025Developed advanced attribution models for evaluating advertising campaign effectiveness using statistical and deep learning techniques. Built automated exploratory data analysis and anomaly detection tools using distributed computing frameworks to accelerate insights and media planning. Created data pipelines with Apache Airflow integrating SQL transformations for automated performance insights delivery. Implemented model training, deployment, and monitoring workflows using AWS EC2, S3, and SageMaker, improving MLOps and experimentation velocity.
Healthcare Data Scientist at HSyE
December 1, 2016 - August 20, 2025Collaborated with healthcare data teams to develop generative classification models uncovering mental health risk patterns. Led research analyzing referral pathways using probabilistic modeling and network analysis. Explored early applications of LLMs for patient history summarization and clinical narrative generation, improving communication. Translated complex analytical insights into accessible findings for public health stakeholders influencing clinical and policy decision-making.
Data Scientist at Tatvic
December 1, 2013 - August 20, 2025Developed predictive models and customer segmentation analyses using Pandas, NumPy, and scikit-learn, enhancing marketing decisions and campaign effectiveness. Created time series forecasting models to predict daily website traffic aiding budget and resource planning. Contributed to product recommendation engine design using association rule mining. Automated marketing analytics workflows via R and API integrations for efficient reporting.
Senior AI/ML Engineer & Data Scientist at LinkedIn
July 31, 2025 - August 20, 2025Built scalable machine learning pipelines for personalized recommendations and job matching using PyTorch, TensorFlow, and MLflow, thereby improving user engagement. Developed real-time inference systems with cloud-native tools and stream processing, reducing latency for millions of daily users. Designed automated model retraining and monitoring workflows, partnering with AI research teams on multi-modal learning and transformer-based models. Developed and fine-tuned Large Language Models like LLaMA and FLAN-T5 for profile generation and job-to-candidate matching. Implemented model governance ensuring traceability and reproducibility while utilizing SQL and feature store technologies for performance tracking. Mentored junior engineers in best practices around model lifecycle management and CI/CD, as well as leading the implementation of MLOps tools to enhance collaboration and deployment workflows. Managed production ML services across AWS, Azure, and Kubernetes for scalable, high-avai
Lead Machine Learning Engineer & AI Solutions at TikTok
December 1, 2024 - August 20, 2025Led AI risk detection architecture including fraud blocking, trust scoring, and suspicious activity mining to ensure platform security at scale. Developed and deployed deep learning fraud detection models preventing over $12M in fraud, replacing third-party solutions. Built user segmentation models with deep neural embeddings enabling cluster-based personalization and targeted tuning. Engineered next-generation recommendation engines with transformer architectures and multimodal learning to boost content relevance and engagement. Created predictive models for user behavior classification and risk scoring, improving detection accuracy and reducing false positives. Led AI model experimentation workflows including A/B testing and uplift modeling. Collaborated cross-functionally to ensure compliance and performance alignment. Mentored teams on real-time ML systems, observability, version control, and reproducibility. Integrated telemetry-based model observability frameworks monitoring prec
Lead Data Scientist & Data Analytics Specialist at Levi Strauss & Co.
March 31, 2023 - August 20, 2025Led global product-level demand forecasting using machine learning models with PyTorch and XGBoost, improving planning accuracy. Designed loyalty propensity deep learning models resulting in a 12-point YOY increase in redemption rates. Refactored segmentation and targeting logic post-privacy updates to maintain revenue and engagement via SQL and RESTful APIs. Developed traffic forecasting engines for physical retail supporting operational planning amid COVID reopenings. Integrated Generative AI models to simulate customer responses and synthetic demand scenarios for promotional and inventory planning. Created a probabilistic promotion price simulation tool aiding merchandising strategy. Led store-level pricing tests involving experiment design, impact analysis, and cross-functional reporting influencing business strategy.
Senior Data Scientist & AI Solutions Engineer at DigitasLBi North America
December 31, 2018 - August 20, 2025Developed advanced statistical and deep learning attribution models to evaluate advertising campaign effectiveness on digital engagement and web traffic. Built automated exploratory data analysis and anomaly detection tools using distributed computing, accelerating campaign insights. Created data pipelines with Apache Airflow integrating SQL transformations for automated performance insight delivery and large-scale marketing analytics. Implemented scalable MLOps workflows for model training, deployment, and monitoring using AWS EC2, S3, and SageMaker, improving experimentation velocity and reproducibility.
Healthcare Data Scientist at HSyE
December 31, 2016 - August 20, 2025Collaborated on generative classification models uncovering risk factor patterns related to mental health outcomes. Led national science funded research analyzing healthcare referral pathways with probabilistic modeling and network analysis. Explored early Large Language Model applications for summarizing patient histories and generating clinical narratives to enhance decision-making. Delivered complex analytic insights to public health stakeholders influencing clinical and policy decisions.
Data Scientist at Tatvic
December 31, 2013 - August 20, 2025Developed predictive models and customer segmentation analysis using Pandas, NumPy, and scikit-learn to enhance marketing effectiveness. Built time series forecasting models (Holt-Winters) to predict web traffic aiding advertising budget and server planning. Contributed to product recommendation engine development using association rule mining and cleaned Google Analytics data, increasing product discovery. Automated marketing analytics workflows with R and secured API integrations for efficient weekly reporting.
Senior AI/ML Engineer & Data Scientist at LinkedIn
July 1, 2025 - August 20, 2025Developed scalable machine learning pipelines for personalized recommendations and job matching using PyTorch, TensorFlow, and MLflow to improve user engagement. Deployed real-time inference systems with cloud-native tools, reducing latency for millions of daily users. Designed automated model retraining and monitoring workflows using Airflow and Prometheus to adapt to evolving user behaviors. Collaborated with AI research teams on media understanding solutions using multi-modal learning and embedding-based architectures. Built transformer-based models and fine-tuned LLMs such as LLaMA and FLAN-T5 for profile generation and job matching, enhancing personalization. Conducted extensive exploratory data analysis and implemented model governance with MLflow Registry and GitOps. Utilized SQL for behavioral data aggregation supporting ML workflows. Managed production-grade ML services across AWS, Azure ML, and Kubernetes with feature store optimizations. Mentored junior engineers on best pra
Lead Machine Learning Engineer & AI Solutions at TikTok
December 1, 2024 - August 20, 2025Led AI risk detection architecture including fraud blocking and trust scoring, developing a deep learning fraud detection model that prevented over $12M in fraud. Created user segmentation models with deep neural embeddings enabling cluster-based personalization. Engineered next-generation recommendation engines using advanced transformer and multimodal learning techniques to increase content relevance. Built predictive models for user behavior classification and risk scoring with TensorFlow/Keras and scikit-learn. Directed experimentation workflows including A/B testing and uplift modeling to validate AI model impacts. Collaborated cross-functionally to ensure AI compliance and user trust. Mentored ML engineers on real-time ML systems, model observability, version control, and reproducibility. Integrated telemetry-based model observability frameworks to track performance metrics in real-time.
Lead Data Scientist & Data Analytics Specialist at Levi Strauss & Co.
March 1, 2023 - August 20, 2025Led development of global product-level demand forecasting models using PyTorch, XGBoost, and SQL, improving forecast accuracy and enabling data-driven planning. Designed and deployed loyalty propensity models with deep learning embedding layers, increasing redemption rates by 12 points year-over-year. Refactored segmentation and targeting strategies post-platform privacy updates to preserve user revenue and engagement. Developed a traffic forecasting engine for retail stores supporting operational planning during COVID-19 reopening. Integrated generative AI models to simulate customer response scenarios aiding inventory and promotion planning. Created simulation tools for promotional pricing impact analysis and led store-level pricing test initiatives influencing strategic decisions.
Senior Data Scientist & AI Solutions Engineer at DigitasLBi North America
December 1, 2018 - August 20, 2025Developed advanced attribution models combining statistical and deep learning methods to evaluate advertising campaign effectiveness on digital engagement. Built automated exploratory data analysis and anomaly detection tools using distributed computing, accelerating marketing insights. Created data pipelines with Apache Airflow integrating SQL transformations for automated performance reporting and marketing analytics. Established scalable MLOps infrastructure using AWS EC2, S3, and SageMaker, enhancing model training, deployment, and monitoring capabilities.
Healthcare Data Scientist at HSyE
December 1, 2016 - August 20, 2025Collaborated with healthcare data teams to build generative classification models revealing associations between risk factors and mental health outcomes. Led nationally funded research projects using probabilistic modeling and network analysis of healthcare referral pathways. Early adopter of LLMs to generate clinical narratives and summarize patient histories, improving healthcare communication. Translated complex analytical insights into accessible reports for public health stakeholders influencing clinical and policy decisions.
Data Scientist at Tatvic
December 1, 2013 - August 20, 2025Built predictive and customer segmentation models with Pandas, NumPy, and scikit-learn which increased marketing campaign effectiveness. Developed Holt-Winters time series forecast models for predicting daily website traffic to improve advertising budget and server management. Contributed to product recommendation engine design using association rule mining and cleaned Google Analytics data to boost product discovery and conversions. Automated marketing analytics reporting with R and secured API integrations enabling efficient performance monitoring.
Senior AI/ML Engineer & Data Scientist at LinkedIn
July 31, 2025 - August 26, 2025Built scalable machine learning pipelines for personalized recommendations and job matching improving user engagement. Deployed real-time inference systems using cloud-native tools to reduce latency for millions of daily users. Designed automated model retraining and monitoring workflows, partnered with AI teams to develop multi-modal learning and embedding-based architectures for media understanding. Developed and fine-tuned large language models for profile generation and job matching. Implemented model governance practices ensuring model traceability and reproducibility. Managed production-grade ML services across AWS, Azure, and Kubernetes with optimized feature storage solutions. Mentored junior engineers and led the adoption of MLOps tools to improve collaboration and reproducibility.
Lead Machine Learning Engineer & AI Solutions at TikTok
December 31, 2024 - August 26, 2025Led AI risk detection architecture including fraud blocking and suspicious activity mining to secure the platform at scale. Developed deep learning fraud detection models preventing over $12M in fraud and replaced third-party solutions. Created user segmentation models using deep neural embeddings enabling targeted personalization. Engineered next-generation recommendation engines with advanced transformer and multimodal learning techniques. Led experimentation workflows including A/B testing and uplift modeling to ensure model effectiveness. Collaborated cross-functionally for compliance and trust, mentoring ML teams on real-time systems and model observability with modern tooling.
Lead Data Scientist & Data Analytics Specialist at Levi Strauss & Co.
March 31, 2023 - August 26, 2025Led development of global product-level demand forecasting models improving accuracy and planning. Designed loyalty propensity deep learning models increasing redemption rates significantly. Refactored customer segmentation and targeting in response to privacy updates maintaining revenue and engagement. Built traffic forecasting engines for retail operations supporting planning during post-COVID reopenings. Integrated generative AI for customer response simulation and demand scenarios aiding promotion and inventory planning. Conducted pricing test initiatives with experiment design and impact analysis guiding strategic decisions.
Senior Data Scientist & AI Solutions Engineer at DigitasLBi North America
December 31, 2018 - August 26, 2025Developed advanced attribution models evaluating advertising campaign effectiveness using statistical and deep learning methods. Built automated exploratory and anomaly detection tools accelerating campaign insights. Developed data pipelines with Apache Airflow integrating SQL transformations for marketing analytics. Implemented scalable MLOps workflows on AWS services to improve experimentation and model reproducibility.
Healthcare Data Scientist at HSyE
December 31, 2016 - August 26, 2025Collaborated on generative classification models revealing links between risk factors and mental health outcomes. Led nationally funded research simulating referral pathways with probabilistic and network analysis. Explored early LLM applications for clinical narrative generation improving communication in healthcare. Translated complex analytics into accessible insights driving clinical and policy decision-making.
Data Scientist at Tatvic
December 31, 2013 - August 26, 2025Developed predictive models and performed customer segmentation using Python data science libraries, increasing marketing effectiveness. Created time series forecasting models to predict website traffic supporting budget and resource planning. Contributed to product recommendation engine design enhancing product discovery and conversion. Automated marketing analytics workflows with R and secured API integrations for consistent reporting.
Education
Master Of Science at Northeastern University
January 1, 2014 - December 31, 2017B.Tech at DAIICT
January 1, 2009 - December 31, 2013Master Of Science at Northeastern University
January 1, 2014 - December 31, 2017B.Tech at DAIICT
January 1, 2009 - December 31, 2013Master Of Science at Northeastern University
January 1, 2014 - December 31, 2017B.Tech at DAIICT
January 1, 2009 - December 31, 2013Master Of Science, Operation Research at Northeastern University
January 1, 2014 - December 1, 2017B.Tech in Information and Communication Technology at DAIICT
January 1, 2009 - December 1, 2013Master of Science, Operations Research at Northeastern University
January 1, 2014 - December 31, 2017B.Tech in Information and Communication Technology at DAIICT
January 1, 2009 - December 31, 2013Master Of Science at Northeastern University
January 1, 2014 - December 1, 2017B.Tech in Information and Communication Technology at DAIICT
January 1, 2009 - December 1, 2013Master Of Science, Operation Research at Northeastern University
January 1, 2014 - December 31, 2017B.Tech in Information and Communication Technology at DAIICT
January 1, 2009 - December 31, 2013Qualifications
Industry Experience
Software & Internet, Financial Services, Healthcare, Retail, Media & Entertainment, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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