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๐Ÿ‘‹ Hi there, I'm Bhavana Jayappa

๐Ÿง  Data Scientist | ๐Ÿ“Š Data Analyst | ๐Ÿค– Machine Learning Engineer

Iโ€™m driven by curiosity and creativityโ€”whether itโ€™s designing predictive models, analyzing behavioral data, or building intelligent systems that make decision-making smarter.


๐ŸŒŸ About Me

๐ŸŽ“ Pursuing Masterโ€™s in Data Science and Analytics at Georgia State University
๐Ÿ’ผ Former Data Scientist at Tata Consultancy Services (TCS) โ€“ nearly 2 years of experience delivering end-to-end data solutions and optimizing large-scale datasets
๐ŸŒ Based in Atlanta, GA โ€“ but always just a ping away on Email or LinkedIn
โญ "Turning data into decisions, and ideas into impact."


โš™๏ธ Tech Stack & Skills

๐Ÿ’ป Programming

Python R SQL

โ˜๏ธ Data & Cloud

AWS GCP Redshift Spark

๐Ÿ›ข๏ธ Databases

MySQL PostgreSQL MongoDB

๐Ÿ“Š Visualization

Tableau Power BI Matplotlib Seaborn

๐Ÿง  Core Skills

Machine Learning Predictive Modeling Data Mining ETL Pipelines


๐Ÿš€ Projects I'm Proud Of

๐ŸŽ“ University Employment Management System

Developed a full-stack web application using Flask and MySQL to streamline university employment processes.
Enabled role-based access, automated job tracking, and improved data organization efficiency by 30%.

๐Ÿ’ณ Credit Risk Modeling for Loan Approval

Built a machine learning model to predict loan default risk using logistic regression and XGBoost.
Enhanced approval accuracy by 15% through feature engineering and model optimization.

๐Ÿ›ฐ๏ธ Spatiotemporal Crime Pattern Analysis

Analyzed real-world crime datasets using Join-Less Co-location Pattern Mining to identify spatial and temporal crime hotspots.
Proposed insights for predictive policing and urban safety planning.

๐Ÿ€ NCAA Basketball Prediction Using Deep Sequence Models

Used RNNs and LSTMs to forecast match outcomes based on player and team performance metrics.
Achieved a 12% improvement in prediction accuracy compared to traditional models.

๐Ÿ“บ YouTube Ad Campaign Optimization

Optimized ad campaign strategies by analyzing user engagement across content types.
Built an automated AWS pipeline using Lambda, Glue, Athena, and Redshift to deliver real-time marketing insights.


๐Ÿ’Œ Letโ€™s Connect

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