Available to hire
Data Scientist with 4+ years of experience designing, developing, and deploying end-to-end data-driven solutions using
Python, R, SQL, Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI, Computer
Vision, and Cloud platforms (AWS, Azure, GCP). Skilled in building scalable ETL pipelines, predictive models,
recommender systems, and business intelligence dashboards to improve decision-making and operational efficiency.
Hands-on expertise in TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Tableau, Power BI, and Big Data ecosystems
(Spark, Hadoop). Experienced in MLOps, CI/CD for ML, API deployment, and version control (Git, GitHub, Docker,
Kubernetes). Strong background in applying statistical modeling, A/B testing, and data visualization to extract insights and
deliver measurable business value.
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Language
English
Fluent
Work Experience
Data Scientist at NVIDIA
September 1, 2024 - PresentDeveloped and deployed generative AI and LLM-based solutions using OpenAI APIs, LangChain, and Hugging Face models, improving response accuracy by 35%. Built NLP pipelines for text classification, summarization, and sentiment analysis using BERT, GPT, and Transformers, increasing automation efficiency by 40%. Designed and maintained ETL pipelines with Airflow, Spark, and Databricks, reducing data processing time by 45%. Applied A/B testing, hypothesis testing, and statistical models to evaluate new product features, achieving a 20% improvement in user engagement. Implemented MLOps with MLflow, Docker, and Kubernetes for CI/CD of ML models, improving deployment frequency by 30%. Collaborated with cross-functional teams to create interactive dashboards in Tableau and Power BI, enhancing business reporting speed by 50%.
Data Analyst at Microsoft
July 1, 2023 - October 15, 2025Built and deployed machine learning models for predictive analytics and recommendation systems, improving forecast accuracy by 28%. Processed and analyzed large-scale datasets using Python, Pandas, Spark, and SQL, reducing manual reporting efforts by 40%. Applied deep learning models (CNNs, RNNs, TensorFlow, PyTorch) for image recognition and time-series analysis with 92%+ model accuracy. Developed and automated data pipelines on AWS (S3, Glue, Redshift) and Azure (Data Factory, Synapse), improving scalability by 35%. Designed business intelligence dashboards in Tableau and Power BI, reducing reporting time by 25%. Conducted feature engineering, model tuning, and cross-validation, boosting ML model performance by 20%. Maintained data governance and data assurance quality frameworks, ensuring 99% accuracy in business reporting.
Data Scientist at NVIDIA
September 1, 2024 - PresentDeveloped and deployed generative AI and LLM-based solutions using OpenAI APIs, LangChain, and Hugging Face models, improving response accuracy by 35%. Built NLP pipelines for text classification, summarization, and sentiment analysis using BERT, GPT, and Transformers, increasing automation efficiency by 40%. Designed and maintained ETL pipelines with Airflow, Spark, and Databricks, reducing data processing time by 45%. Applied A/B testing, hypothesis testing, and statistical models to evaluate new product features, achieving a 20% improvement in user engagement. Implemented MLOps with MLflow, Docker, and Kubernetes for CI/CD of ML models, improving deployment frequency by 30%. Collaborated with cross-functional teams to create interactive dashboards in Tableau and Power BI, enhancing business reporting speed by 50%.
Data Analyst at Microsoft
July 1, 2023 - October 15, 2025Built and deployed machine learning models for predictive analytics and recommendation systems, improving forecast accuracy by 28%. Processed and analyzed large-scale datasets using Python, Pandas, Spark, and SQL, reducing manual reporting efforts by 40%. Applied deep learning models (CNNs, RNNs, TensorFlow, PyTorch) for image recognition and time-series analysis with 92%+ model accuracy. Developed and automated data pipelines on AWS (S3, Glue, Redshift) and Azure (Data Factory, Synapse), improving scalability by 35%. Designed business intelligence dashboards in Tableau and Power BI, reducing reporting time by 25%. Conducted feature engineering, model tuning, and cross-validation, boosting ML model performance by 20%. Maintained data governance and data assurance quality frameworks, ensuring 99% accuracy in business-aligned data.
Data Scientist at NVIDIA
September 1, 2024 - November 24, 2025Developed and deployed generative AI and LLM-based solutions using OpenAI APIs, LangChain, and Hugging Face models; built NLP pipelines for classification, summarization, and sentiment analysis; designed ETL pipelines with Airflow, Spark, and Databricks; applied A/B testing and statistical modeling to evaluate features; implemented MLOps with MLflow, Docker, and Kubernetes; created dashboards in Tableau and Power BI to improve reporting speed and accuracy.
Data Analyst at Microsoft
July 1, 2023 - July 1, 2023Built and deployed machine learning models for predictive analytics and recommendation systems; processed large-scale datasets with Python, Pandas, Spark, and SQL; applied deep learning models for image recognition and time-series analysis; automated data pipelines on AWS and Azure; designed BI dashboards in Tableau and Power BI; performed feature engineering and model tuning; maintained data governance and data assurance programs to ensure 99% data quality.
Data Scientist at NVIDIA
September 1, 2024 - November 26, 2025Developed and deployed generative AI and LLM-based solutions using OpenAI APIs, LangChain, and Hugging Face models; improved response accuracy by 35%. Built NLP pipelines for text classification, summarization, and sentiment analysis; increased automation efficiency by 40%. Designed and maintained ETL pipelines with Airflow, Spark, and Databricks; reduced data processing time by 45%. Applied A/B testing and statistical models to evaluate new product features; 20% improvement in user engagement. Implemented MLOps with MLflow, Docker, and Kubernetes for CI/CD of ML models; deployment frequency up by 30%. Collaborated with cross-functional teams to create interactive dashboards in Tableau and Power BI; reporting speed improved by 50%.
Data Analyst at Microsoft
August 1, 2020 - July 1, 2023Built and deployed machine learning models for predictive analytics and recommendation systems, improving forecast accuracy by 28%. Processed and analyzed large-scale datasets using Python, Pandas, Spark, and SQL, reducing manual reporting efforts by 40%. Applied deep learning models (CNNs, RNNs, TensorFlow, PyTorch) for image recognition and time-series analysis with 92%+ model accuracy. Developed and automated data pipelines on AWS (S3, Glue, Redshift) and Azure (Data Factory, Synapse), improving scalability by 35%. Designed business intelligence dashboards in Tableau and Power BI, reducing reporting time by 25%. Conducted feature engineering, model tuning, and cross-validation, boosting ML model performance by 20%. Maintained data governance and data Assurance quality frameworks, ensuring 99% accuracy in business-aligned data.
Education
Masters in Computer and Information Sciences at University of North Texas
January 11, 2030 - October 15, 2025Master of Science in Computer and Information Sciences at University of North Texas – Denton, TX
January 11, 2030 - October 15, 2025Master's in Computer and Information Sciences at University of North Texas
January 11, 2030 - November 24, 2025Master of Science in Computer and Information Sciences at University of North Texas
January 11, 2030 - November 26, 2025Masters in Computer and Information Sciences at University of North Texas
January 11, 2030 - December 15, 2025Qualifications
Advanced Python Programming
January 11, 2030 - October 15, 2025ML & Big Data with R
January 11, 2030 - October 15, 2025Published Paper: Blockchain E-Voting – ICA5NT 2023, European Chemical Bulletin (Scopus-indexed)
January 11, 2030 - October 15, 2025Virtual AI Experience – Cognizant
January 11, 2030 - October 15, 2025Developer Simulation – Accenture
January 11, 2030 - October 15, 2025Cybersecurity Workshop – IIT Kharagpur
January 11, 2030 - October 15, 2025AWS Certified Cloud Practitioner
January 11, 2030 - October 15, 2025AWS Certified Solutions Architect – Associate
January 11, 2030 - October 15, 2025Google Cloud Digital Leader
January 11, 2030 - October 15, 2025Oracle Certified Java SE 11 Developer
January 11, 2030 - October 15, 2025Advanced Python Programming
January 11, 2030 - October 15, 2025ML & Big Data with R
January 11, 2030 - October 15, 2025AWS Certified Cloud Practitioner
January 11, 2030 - October 15, 2025AWS Certified Solutions Architect – Associate
January 11, 2030 - October 15, 2025Google Cloud Digital Leader
January 11, 2030 - October 15, 2025Oracle Certified Java SE 11 Developer
January 11, 2030 - October 15, 2025Advanced Python Programming
January 11, 2030 - November 24, 2025ML & Big Data with R
January 11, 2030 - November 24, 2025AWS Certified Cloud Practitioner
January 11, 2030 - November 24, 2025AWS Certified Solutions Architect – Associate
January 11, 2030 - November 24, 2025Google Cloud Digital Leader
January 11, 2030 - November 24, 2025Oracle Certified Java SE 11 Developer
January 11, 2030 - November 24, 2025Blockchain E-Voting – ICA5NT 2023 (European Chemical Bulletin, Scopus-indexed) – Published Paper
January 11, 2030 - November 24, 2025Virtual AI Experience – Cognizant
January 11, 2030 - November 24, 2025Developer Simulation – Accenture
January 11, 2030 - November 24, 2025Cybersecurity Workshop – IIT Kharagpur
January 11, 2030 - November 24, 2025AWS Certified Cloud Practitioner
January 11, 2030 - November 26, 2025AWS Certified Solutions Architect – Associate
January 11, 2030 - November 26, 2025Google Cloud Digital Leader
January 11, 2030 - November 26, 2025Oracle Certified Java SE 11 Developer
January 11, 2030 - November 26, 2025Advanced Python Programming – University of Michigan (Coursera)
January 11, 2030 - November 26, 2025ML & Big Data with R – Prag Robotics
January 11, 2030 - November 26, 2025Publication: Blockchain E-Voting – ICA5NT 2023
January 11, 2030 - November 26, 2025Advanced Python Programming
January 11, 2030 - December 15, 2025ML & Big Data with R
January 11, 2030 - December 15, 2025AWS Certified Cloud Practitioner
January 11, 2030 - December 15, 2025AWS Certified Solutions Architect – Associate
January 11, 2030 - December 15, 2025Google Cloud Digital Leader
January 11, 2030 - December 15, 2025Oracle Certified Java SE 11 Developer
January 11, 2030 - December 15, 2025Industry Experience
Computers & Electronics, Software & Internet, Professional Services, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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