Teertha 002

I am a data scientist and analyst experienced in end-to-end data workflows, predictive modeling, and dashboard development. I combine practical skills in Python, SQL, and visualization tools to turn raw data into business insights.

At Nyeras Edutech I implemented data cleaning and feature engineering pipelines, developed an e-commerce recommendation system, and delivered health analytics dashboards that supported stakeholder decision-making. My work improved data readiness and reporting efficiency across projects.

My academic background includes a Master of Computer Application and a Bachelor of Computer Application, where I focused on data-driven projects such as student performance prediction and retail sales analytics. I emphasize reproducible analysis using Jupyter, Pandas, and scikit-learn.

I bring strong teamwork, communication, and adaptability to roles where I can build predictive solutions and dashboards that drive measurable impact. I am motivated to apply analytical rigor to solve business problems and improve decision-making processes.