Feature Engineering, Regression, Classification, Model Explanation. My 2 biggest projects exploring the link between economic indicators and U.S. presidential election results.

Flexible time series feature extraction & processing

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

EvalML is an AutoML library written in python.

I've performed exploratory data analysis (EDA) on Black Friday Sales CSV files. I inspected the structure, calculated statistics, and visualized trends. This process aids in informed decision-making and strategy optimization.

Go client for Chalk

Titanic spaceship is a simple challenge of kaggle competitions. Task is to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly. I could to get 0.802 accuracy.

* Basis EDA * Handling Null/Missing Values * Handling Outliers * Handling Skewness * Handling Categorical Features * Data Normalization and Scaling * Feature Engineering *Accuracy score *Confusion matrix *Classification report

I wonder if NLP is hard. spoiler: it is

IU Projects

IU Lessons

IU Lessons

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Data Cleaning, Feature Engineering, Data Analysis exploring the relationship between 2022 U.S. Senate elections results and economic parameters.

Hopsworks - Data-Intensive AI platform with a Feature Store

Predict the total energy consumption of buildings via machine learning using only available structural data.

A database-like benchmark of feature generation from time-series data

This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.

An open source python library for automated feature engineering