Pranit Patil

Enthusiastic and results-oriented B.Sc.

Computer

Science student with hands-on experience in Python, SQL, Machine Learning, and Data Analytics. Proficient in building end-to-end predictive models, performing Exploratory Data Analysis (EDA), ETL processes, and deploying ML applications using Flask. Experienced in Power BI dashboards and data visualizations using Matplotlib and Seaborn.

Strong foundation in feature engineering, statistical analysis, and model evaluation (R², MAE, RMSE). Seeking an entry-level Data Scientist or Data Analyst role to drive data-driven decision making.

Data Analyst Intern at Hummings Byte Technology (2026-01 – 2026-04)

• Developed a Car Price Prediction model using Gradient Boosting Regressor (Python, Scikit-learn, Pandas) with R² above 0.90 through feature engineering (vehicle age, km/year) and hyperparameter tuning.
• Compared three ML algorithms — Gradient Boosting, Random Forest, Linear Regression — using R², MAE, and RMSE to select the optimal production model.
• Designed an interactive Happiness Index Dashboard in Power BI with KPIs, trend charts, and drill-down filters for business insight generation.
• Performed data cleaning, wrangling, and ETL processing on structured datasets using Python and SQL, reducing missing-value rate and improving model accuracy.
• Produced nine EDA visualizations (correlation heatmap, scatter plots, distribution plots) using Matplotlib and Seaborn to communicate insights to stakeholders.

Bachelor of Science in Computer Science – Modern College of Arts, Science and Commerce, Pune (2023 – 2026)

Higher Secondary Certificate – Bharat English School and Junior College (2021 – 2022)