Churn method that actually optimizes the business objective and improves ROI.

Using BoW (Bag of Words), Hashing Vectorization, Linear SVC & PCA to classify whether a query is urgent or not.

Parsing PDF to extract keywords and using SpaCy's phrase matcher to count the occurences & finally plot it using matplotlib.

One of the biggest problem in Indonesian eCommerce is purchase of discounted goods online by the traders and resale of those goods offline. TIM classifies the above mentioned Traders from legitimate customers.

Scraping, aggregating and assessing technical ability of a candidate based on publicly available sources.

Real-time sentiment analysis on tweets using Python, Flask-API, Gunicorn, Tweepy & TextBlob

Based on GRE score, GPA and Rank of a student, let's predict whether a student will get admitted or rejected using machine learning

Repository of all (almost!) important machine learning algorithms

Built a classification model on dataset from 1987 – 2008 that predicts whether a flight will be delayed or not along with feature selection, data visualization.

A web app that takes in user voice input/ health queries and generates health tips developed using Python, Node and NLP Parser.

A simple machine learning model to predict probable policies to customers.

Hands on EDA with Tableau.

Bot that gives you weather updates on Telegram.

Using Aylien API, this is a simple web app that aggregates news based on a sentiment