Suyash Tripathi

I’m an aspiring Data Scientist and Data Analyst who enjoys solving real-world business problems with data-driven decision making. I focus on building end-to-end machine learning pipelines—from data cleaning and EDA to feature engineering, model training, evaluation, and dashboard creation.

As a Data Analyst (Jan 2025 – Present) at Medcron Healthcare, I analyzed product sales data across multiple months, regions, and sales channels. I performed data cleaning, preprocessing, and EDA using Python and SQL, and built reports and dashboards to identify business trends and customer behavior.

My internship experience strengthens both modeling and communication of results. As a Machine Learning Intern at IIIT Allahabad (Jun 2025 – Feb 2026), I built and evaluated machine learning models on structured datasets, applied feature engineering and preprocessing to improve performance, and documented evaluation metrics and model performance reports.

In a customer churn analysis virtual experience with BCG X (Forage), I conducted EDA and feature engineering, built predictive models, and delivered actionable insights. My projects include House Price Prediction (R score of 0.87 with improved predictive accuracy via hyperparameter tuning), Sales Forecasting (MAPE of 8.3% with Power BI/Excel dashboards), and Customer Churn Prediction (F1-score of 0.82 with feature engineering and imbalanced dataset handling).