statsmodels

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

Python web application for exploring and forecasting crime rates in NYC

Classification model for 1 year survival rates in patients with HCC (hepatocellular carcinoma).

Analysis of the results of an A/B test for an e-commerce website.

~PyDataLA 2020~ talk

Statistical Modeling with Python

Skills: Python (Pandas, Numpy, Matplotlib, Seaborn, Sklearn, Statsmodels)

Traditional Regression problem project in Python

Sahay - Flood & Rainfall Intelligence: a Python web app using 1D‑CNN deep learning and ARIMA time‑series forecasting for monthly precipitation prediction and flood-risk classification. Developed for the DSN2099 Project Exhibition - II @ VIT

Hourly hydroelectric generation forecasting for the Turkish electricity market — time series decomposition, Box-Cox transformation, and regression with ERA5 weather data.

Production-grade Python EDA system — statistical analysis, fraud pattern detection, and board-ready HTML report generation for insurance claims data. Includes ANOVA, Kruskal-Wallis, exponential smoothing, and IQR anomaly detection.

An end-to-end Data Science and Analysis project, analyzing the Premier League 2024-25 season, featuring EDA, hypothesis testing, regression, clustering, and interactive dashboards.

Sports Analytics in Python

Predictive modeling of Tesla stock prices using AR, MA, ARIMA, and LSTM models. This project leverages Python for time series analysis, statistical forecasting, and deep learning techniques.

Statistical testing of the Random Walk Hypothesis on Bitcoin (BTC-USD) using ADF, Autocorrelation, Runs Test, Variance Ratio (Lo-MacKinlay), and GARCH(1,1) modelling - Python, statsmodels, arch

how to perform t-testing & ANOVA

A data science project analyzing Spotify song features through exploratory data analysis (EDA), clustering and statistical modeling to predict song popularity.