Rekala Pranith

I am a Senior Data Analyst with hands-on experience building data products, predictive models, and dashboards to drive operational decisions. I blend strong technical skills in Python, SQL, and machine learning with practical experience across healthcare, consulting, and research environments.

At Pristyn Care I handled and analyzed large datasets using SQL, MongoDB, and Python, created automated workflows and reports, and developed interactive dashboards to monitor key performance metrics. Prior roles include Associate Data Analyst at Kshetra Consulting, where I analyzed voter demographics, designed surveys, and evaluated campaign effectiveness, and a Developer Intern at IIT Roorkee building a dynamic biological database.

I have completed machine learning and deep-learning projects such as a Skin Cancer Detection system using MobileNet/TensorFlow deployed to GitHub Pages and a Multiple Disease Prediction web app using Streamlit, NumPy, and Pandas. I also contributed to an Omdena project forecasting startup success, applying AI-driven models in a collaborative global team.

I take a pragmatic, privacy-first approach to data and model development, emphasize cross-functional collaboration with operations and engineering teams, and enjoy translating complex analyses into actionable insights and automated reporting solutions.