Available to hire
I am a passionate Data Scientist with around 4 years of experience specializing in developing machine learning and deep learning models that significantly enhance model accuracy and drive data-driven decision-making across various industries including finance, healthcare, and e-commerce. With deep expertise in MLOps and scalable AI solution deployment, I ensure seamless integration and automation of AI workflows through technologies such as Docker, Kubernetes, and cloud platforms like AWS, Azure, and GCP.
My skills span across big data processing, feature engineering, and statistical analysis, enabling me to build optimized ETL pipelines and improve model interpretability and training efficiency. I enjoy leading teams and fostering a culture of innovation while leveraging my background in AI, predictive modeling, and real-time analytics to solve business challenges and optimize outcomes.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Hindi
Intermediate
Work Experience
Data Scientist at Capital One Financial
January 1, 2023 - PresentLed the design and integration of AI-driven risk analysis systems by integrating machine learning algorithms with claims processing data, reducing fraudulent claims by 30% and improving risk evaluation for policy underwriting. Developed ensemble-based anomaly detection frameworks using Random Forest, Isolation Forest, and Autoencoders. Programmed predictive modeling pipelines using Python, R, TensorFlow, and PyTorch to predict customer behavior, increasing cross-sell and up-sell conversion rates by 20%. Engineered real-time anomaly detection systems using NLP and computer vision techniques, reducing fraudulent claims processing by 40%. Designed scalable ETL pipelines with Apache Spark, Snowflake, and Databricks, improving data processing speeds by 40%. Integrated MLOps pipelines with CI/CD, model versioning, and automated retraining using Docker, Kubernetes, and API endpoints. Developed Bayesian probabilistic models for customer risk profiling, reducing policyholder churn by 15%. Direc
Junior Data Scientist at Macro Software Solutions
December 31, 2021 - July 22, 2025Assisted in developing machine learning models for customer segmentation, demand forecasting, and fraud detection, improving forecasting accuracy by 10%. Conducted feature engineering and dimensionality reduction enhancing training performance by 25%. Deployed and optimized ML models on AWS, Azure, and GCP using serverless computing and containerization. Created interactive dashboards and automated data reports with Tableau, Power BI, and Matplotlib, reducing manual analysis time by 35%. Collaborated with data engineers to build scalable ETL pipelines, improving data availability by 20%. Executed A/B and statistical hypothesis testing to optimize SaaS product features, boosting user engagement by 7%. Documented and presented AI model findings to stakeholders to facilitate faster AI adoption.
Data Scientist at Capital One Financial, TX
January 1, 2023 - PresentLed the design and integration of AI-driven risk analysis systems, reducing fraudulent claims by 30% and improving underwriting risk evaluation. Developed ensemble anomaly detection frameworks increasing fraud detection accuracy. Programmed predictive modeling pipelines to optimize customer churn and premium pricing, improving cross-sell and up-sell rates by 20%. Engineered real-time anomaly detection using NLP and computer vision, decreasing fraudulent claims by 40%. Built scalable ETL pipelines that enhanced data processing speeds by 40%. Integrated MLOps with CI/CD, Docker, Kubernetes for seamless deployment and monitoring. Created Bayesian probabilistic models reducing policyholder churn by 15%. Led a data science team, conducting reviews and workshops to boost AI deployment efficiency across insurance operations.
Junior Data Scientist at Macro Software Solutions, India
December 31, 2021 - August 6, 2025Assisted in developing machine learning models for customer segmentation, demand forecasting, and fraud detection, improving forecasting accuracy by 10%. Conducted feature engineering and dimensionality reduction to enhance training efficiency by 25%. Deployed and optimized models on AWS SageMaker, Azure ML Studio, and GCP Vertex AI ensuring high availability and cost-efficiency. Built interactive dashboards reducing manual analysis time by 35%. Collaborated with engineers to build scalable ETL pipelines, improving data availability by 20%. Executed A/B testing and statistical tests to optimize SaaS product features, boosting user engagement by 7%. Documented AI workflows and communicated results to both technical and non-technical stakeholders to accelerate AI adoption.
Data Scientist at Capital One Financial
January 1, 2023 - PresentLed AI-driven risk analysis system design integrating machine learning for claims processing, reducing fraudulent claims by 30%. Developed ensemble anomaly detection framework improving fraud detection accuracy. Built predictive modeling pipelines using Python, R, TensorFlow, and PyTorch to optimize customer behavior predictions, enhancing cross-sell and up-sell rates by 20%. Engineered real-time anomaly detection system using NLP and computer vision, reducing fraudulent claims by 40%. Designed scalable ETL pipelines leveraging Apache Spark, Snowflake, and Databricks improving data processing speed by 40%. Integrated MLOps pipelines with CI/CD, model versioning, Docker, Kubernetes, and API endpoints for scalable deployment. Developed Bayesian probabilistic model for risk profiling reducing policyholder churn by 15%. Directed teams with code reviews, validation sessions, and AI strategy workshops boosting AI deployment efficiency.
Junior Data Scientist at Macro Software Solutions, India
December 31, 2021 - August 6, 2025Assisted in developing machine learning models for customer segmentation, demand forecasting, and fraud detection improving forecasting accuracy by 10%. Conducted feature engineering and dimensionality reduction using PCA improving training performance by 25%. Deployed and optimized models on AWS, Azure, and GCP using serverless computing and containerization for cost-efficient, scalable AI solutions. Built interactive dashboards and automated reports with Tableau, Power BI, and Matplotlib reducing manual analysis time by 35%. Collaborated with data engineers creating ETL pipelines with SQL, Apache Airflow, and AWS Glue enhancing data availability by 20%. Executed A/B testing and hypothesis testing frameworks optimizing product features, increasing user engagement by 7%. Documented and presented AI model findings facilitating faster AI adoption.
Data Scientist at Capital One Financial
January 1, 2023 - PresentLed the design and integration of AI-driven risk analysis systems with claims processing data, reducing fraudulent claims by 30% and improving underwriting risk evaluation. Developed ensemble anomaly detection frameworks using Random Forest, Isolation Forest, and Autoencoders increasing fraud detection accuracy. Built predictive modeling pipelines using Python, R, TensorFlow, and PyTorch to predict customer behavior and optimize premium pricing, increasing conversion rates by 20%. Engineered real-time anomaly detection for mobile claims using NLP and computer vision, cutting fraudulent claim processing by 40%. Designed scalable ETL pipelines with Apache Spark, Snowflake, and Databricks, improving data processing speeds by 40%. Integrated MLOps pipelines with CI/CD, Docker, Kubernetes, and model monitoring for continuous deployment and drift detection. Developed Bayesian probabilistic models for customer risk profiling, reducing policyholder churn by 15%. Led teams through code reviews,
Junior Data Scientist at Macro Software Solutions
December 31, 2021 - August 25, 2025Assisted in developing machine learning models for customer segmentation, demand forecasting, and fraud detection using Scikit-learn, XGBoost, and LightGBM, improving forecasting accuracy by 10%. Performed feature engineering and dimensionality reduction with PCA, enhancing training performance by 25%. Deployed and optimized ML models on AWS, Azure, and GCP using serverless computing and containerization to reduce latency and costs. Built dashboards and automated reports using Tableau, Power BI, and Matplotlib, reducing manual analysis time by 35%. Collaborated with data engineers to create scalable ETL pipelines with SQL, Apache Airflow, and AWS Glue, improving data availability by 20%. Executed A/B testing and hypothesis testing frameworks optimizing SaaS features and boosting user engagement by 7%. Documented and presented AI findings to technical and non-technical stakeholders to expedite AI adoption.
Data Scientist at Capital One Financial, TX
January 1, 2023 - PresentLed the design and integration of AI-driven risk analysis systems that reduced fraudulent claims by 30% and enhanced risk evaluation for policy underwriting. Developed ensemble anomaly detection frameworks improving fraud detection accuracy. Built predictive modeling pipelines predicting customer behavior and improving conversion rates by 20%. Engineered real-time anomaly detection systems for claims processing using NLP and computer vision, reducing fraudulent claims by 40%. Designed scalable ETL pipelines that increased data processing speeds by 40%. Integrated MLOps pipelines for continuous deployment and drift monitoring using Docker, Kubernetes, and API endpoints. Created Bayesian probabilistic models for customer risk profiling leading to a 15% reduction in policyholder churn. Directed a team of data scientists and engineers to boost AI deployment efficiency and foster innovation.
Junior Data Scientist at Macro Software Solutions, India
December 31, 2021 - August 25, 2025Assisted in developing machine learning models for customer segmentation, demand forecasting, and fraud detection, boosting forecasting accuracy by 10%. Conducted feature engineering and dimensionality reduction improving training performance by 25%. Deployed and optimized models on AWS, Azure, and GCP with cost-efficient, high-availability solutions and reduced latency. Created interactive dashboards and automated reports reducing manual data analysis by 35%. Collaborated to build scalable ETL pipelines improving data availability by 20%. Executed A/B testing and hypothesis testing optimizing product features and increasing user retention by 7%. Presented AI model findings and analytical workflows to stakeholders to accelerate AI adoption.
Data Scientist at Capital One Financial
January 1, 2023 - PresentLed AI-driven risk analysis systems to reduce fraudulent claims by 30% by integrating machine learning with claims data. Developed ensemble anomaly detection improving fraud detection. Built predictive modeling pipelines for customer behavior and premium pricing improvements, increasing cross-sell and up-sell by 20%. Engineered real-time anomaly detection using NLP and computer vision, reducing claim fraud by 40%. Designed scalable ETL pipelines with Apache Spark and Snowflake, improving processing speeds by 40%. Integrated MLOps pipelines with CI/CD, automated retraining, Docker, and Kubernetes for seamless deployments. Developed Bayesian models for risk profiling, reducing policyholder churn by 15%. Directed data science teams, improving AI deployment efficiency and fostering innovation across insurance operations.
Junior Data Scientist at Macro Software Solutions
December 31, 2021 - August 25, 2025Supported end-to-end development of machine learning models for customer segmentation, demand forecasting, and fraud detection, improving forecasting accuracy by 10%. Conducted feature engineering and dimensionality reduction increasing training performance by 25%. Deployed machine learning models on AWS, Azure, and GCP ensuring cost-efficient and low-latency AI solutions. Created interactive business intelligence dashboards reducing manual analysis time by 35%. Collaborated on scalable ETL pipelines improving data availability by 20%. Executed A/B and statistical hypothesis testing optimizing product features and campaigns leading to 7% user engagement uplift. Documented AI workflows improving stakeholder understanding and accelerating AI adoption.
Data Scientist at Capital One Financial, TX
January 1, 2023 - PresentLed the design and integration of AI-driven risk analysis systems, combining machine learning algorithms with claims processing data to reduce fraudulent claims by 30% and improve underwriting risk evaluation. Developed ensemble anomaly detection frameworks using Random Forest, Isolation Forest, and Autoencoders to enhance fraud detection accuracy. Engineered predictive modeling pipelines with Python, R, TensorFlow, and PyTorch for churn prediction and premium pricing, increasing cross-sell and up-sell conversion rates by 20%. Built real-time anomaly detection leveraging NLP (BERT, LSTM) and computer vision to flag suspicious transactions, cutting fraudulent claims processing by 40%. Designed scalable ETL pipelines using Apache Spark, Snowflake, and Databricks, improving data processing speeds by 40%. Integrated MLOps including CI/CD, MLflow, Docker, Kubernetes, and FastAPI/Flask to enable continuous deployment and model monitoring. Formulated Bayesian probabilistic models for customer
Junior Data Scientist at Macro Software Solutions, India
December 31, 2021 - August 25, 2025Assisted in building machine learning models for customer segmentation, demand forecasting, and fraud detection using Scikit-learn, XGBoost, and LightGBM, improving forecasting accuracy by 10%. Performed feature engineering and dimensionality reduction with PCA to reduce model complexity and improve training speed by 25%. Deployed and optimized ML models on AWS SageMaker, Azure ML Studio, and GCP Vertex AI using serverless and containerized solutions for cost-efficient, highly available AI deployments. Created interactive dashboards and automated reports via Tableau, Power BI, and Matplotlib, reducing manual data analysis efforts by 35%. Collaborated with data engineers to build ETL pipelines using SQL, Apache Airflow, and AWS Glue, increasing data availability for analytics by 20%. Conducted A/B testing and statistical hypothesis testing to optimize product features and marketing campaigns, boosting user engagement by 7%. Documented and communicated AI model insights to stakeholders t
Education
Master of Science at University of Texas, Arlington, USA
January 1, 2015 - December 31, 2017Bachelor of Technology at RVR & JC College of Engineering, Andhra Pradesh, India
January 1, 2011 - December 31, 2015Master of Science in Computer Science at University of Texas, Arlington, USA
January 11, 2030 - August 6, 2025Bachelor of Technology in Computer Science and Engineering at RVR & JC College of Engineering, Andhra Pradesh, India
January 11, 2030 - August 6, 2025Master of Science in Computer Science at University of Texas, Arlington
January 11, 2030 - August 6, 2025Bachelor of Technology in Computer Science and Engineering at RVR & JC College of Engineering, Andhra Pradesh, India
January 11, 2030 - August 6, 2025Master of Science in Computer Science at University of Texas, Arlington
January 11, 2030 - August 25, 2025Bachelor of Technology in Computer Science and Engineering at RVR & JC College of Engineering, Andhra Pradesh, India
January 11, 2030 - August 25, 2025Master of Science at University of Texas, Arlington
January 11, 2030 - August 25, 2025Bachelor of Technology at RVR & JC College of Engineering, Andhra Pradesh, India
January 11, 2030 - August 25, 2025Master of Science at University of Texas, Arlington
January 11, 2030 - August 25, 2025Bachelor of Technology at RVR & JC College of Engineering, Andhra Pradesh, India
January 11, 2030 - August 25, 2025Master of Science in Computer Science at University of Texas, Arlington, USA
January 11, 2030 - August 25, 2025Bachelor of Technology in Computer Science and Engineering at RVR & JC College of Engineering, Andhra Pradesh, India
January 11, 2030 - August 25, 2025Qualifications
Industry Experience
Financial Services, Healthcare, Retail, Software & Internet, Other, Consumer Goods
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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