Harsh Shende

I’m a certified Data Analyst with entry-level experience in data analytics, statistical modeling, and data visualization. I focus on translating complex datasets into clear, actionable insights that support data-driven decision-making.

As a Data Scientist Intern, I collected, cleaned, and preprocessed structured and unstructured data using Python libraries like Pandas and NumPy to improve data quality and speed up downstream analysis. I built and evaluated machine learning models for classification, regression, and clustering using Scikit-learn, and I improved performance through feature engineering, cross-validation, and hyperparameter tuning.

I also developed interactive dashboards and reports for stakeholders, using Matplotlib, Seaborn, and Power BI/Tableau to track key metrics and trends. In parallel, I wrote complex SQL queries to extract, transform, and analyze relational data for cross-functional teams.

To bridge model development with real-world use, I deployed machine learning models with Flask and Streamlit for real-time predictions. My projects—like customer segmentation, sales forecasting dashboards, and house price prediction—reflect the same theme: reliable analytics paired with practical, user-friendly outputs.