← Portfolio
Shivansh Mishra
Data Scientist
Education
BBD University
2024 – Present
B.Tech CSE (Cloud & ML Spec)
CGPA: 8.0+ / 10
Technical Skills
Professional Summary
Pre-final year B.Tech CSE student specializing in Data Science and Statistical Modeling. Passionate about extracting actionable insights from complex datasets and designing predictive modeling pipelines. Experienced in exploratory data analysis (EDA), feature engineering, and rigorous statistical validation. Proficient in Python, SQL, Seaborn, and Scikit-learn, with a record of deploying interactive dashboards to communicate data stories. Focuses on statistical precision and model explainability.
Projects
BankChurners — Customer Analytics
2024 – 2025
Python, Pandas, Seaborn, Matplotlib, Streamlit [Live] [GitHub]
  • Executed exploratory data analysis on a dataset of 10,000+ credit card profiles, identifying key factors correlated with churn.
  • Built correlation matrices and distribution curves to isolate statistical significance of card utilization and customer service contacts.
  • Deployed an interactive Streamlit diagnostics portal visualizing retention risks, translating data points into actionable strategy.
House Price Prediction — Regressions
2024 – 2025
Python, Scikit-learn, Ridge/Lasso, Vercel [Live] [GitHub]
  • Formulated regression pipelines, comparing Linear, Ridge, and Lasso configurations on out-of-sample data points.
  • Validated predictive metrics using RMSE and R² criteria, checking model robustness against overfitting.
  • Built dynamic Streamlit pricing widgets deployed to Vercel, enabling users to evaluate price variance interactively.
Experience & Contributions
Data Science Contributor & Kaggle Publisher
2024 – Present
  • Published clean, documented exploratory notebooks and dataset summaries on Kaggle, verifying visualization workflows.
  • Maintained 10+ public GitHub repositories, hosting reproducible data cleaning scripts and structured analytics models.
  • Competed in Coderush 2.0 (2025), utilizing mathematical models to resolve complex constraints under strict time limits.