Sanjana M

About Sanjana M

I am a Senior Data Scientist and AI/ML Engineer with over 9 years of experience transforming complex data into actionable insights across finance, healthcare, e-commerce, and technology domains. My career is driven by a passion for building intelligent systems that optimize operations, uncover opportunities, and enable data-driven decision-making at scale.I specialize in end-to-end machine learning pipeline development, from data engineering and feature design to model deployment and performance tuning. Leveraging tools such as Python, TensorFlow, Keras, Spark, and AWS, I have delivered predictive analytics solutions that directly impacted revenue growth, operational efficiency, and strategic planning.At Amazon, I engineered large-scale data pipelines using AWS Glue and Lambda, automated analytics workflows that improved data availability by 40%, and built predictive demand models that reduced inventory costs by 12%. I also led NLP sentiment analysis initiatives to uncover customer pain points, informing product strategy and improving retention rates by 15%.Previously at JPMorgan Chase, I developed time-series forecasting and anomaly detection models on large financial datasets, improving forecasting accuracy by 22% and reducing fraud incidents by 15%. My work bridged advanced analytics with real-world business outcomes, supporting executive decision-making through compelling visualizations and dashboards.My technical foundation spans big data (Hadoop, Spark, Hive), advanced analytics (R, SAS, SQL), cloud computing (AWS, GCP, Azure), and modern visualization platforms like Tableau and Power BI. Equally, I excel in cross-functional collaboration, translating business challenges into scalable data solutions, mentoring teams, and driving analytics adoption within Agile environments.I thrive at the intersection of data science, strategy, and innovation — helping organizations unlock measurable value through intelligent, ethical, and impactful use of data.

Experience

1. Senior Data Scientist (Ai & Ml Engineer)

   Amazon

   Jun 2024 — Present · Seattle, WA, US

   Engineered complex SQL queries and leveraged Amazon Redshift to extract actionable insights from multi-terabyte datasets, driving data-driven business reporting.Developed predictive models with Scikit-learn and TensorFlow to forecast product demand, reducing inventory holding costs by 12%.Automated ETL workflows using AWS Glue and Lambda, improving real-time data availability and cutting delays by 40%.Built Tableau dashboards to monitor purchasing patterns, increasing marketing campaign effectiveness by 20%.Implemented NLP sentiment analysis on customer feedback to inform product strategy, improving retention rates by 15%.Deployed ML models on Amazon SageMaker for scalable production use and streamlined data quality checks using Python and SQL.

Education

• Hindustan University

  Bachelor of Engineering - BE

  2018 — 2022

• Golden Gate University

  Master's degree

  2024 — 2025