Rahul Agarwal

A few machine learning projects: - Recommendation System: Developed a product recommendation system using normalized item-to-item collaborative filtering for a US-based online retailer - Customer Attrition: Developed a random forest-based predictive model to predict the customers with a high propensity to attire within the next 1 month. Predict 72% of customers accurately - Order Forecasting: Built an order forecasting model for one of the largest online retailers in India using linear regression taking different variables into consideration such as Marketing campaigns, discounts, and Promotion Campaigns etc. - Purchase Prediction System: Developed a neural net for predicting the next purchase date and category for a grocery customer using 4 layered neural net. The model showcased 76% accuracy

6 years of experience in Python for machine learning, data analysis, database connections and plotting data: 1. Partnered with Google Cloud Solutions, India: Worked with multiple Large Clients in Automotive, E-Commerce and Travel Sector in India to deliver solutions based on Python hosted at Google Cloud for data processing and data visualization. 2. Analytical Solution for UK Based Finance Company: Worked with a 10 member team to deliver analytics solution for the finance firm. The main challenge was processing of high volume data at high velocity to generate live reporting solutions. 3. Multiple small solutions for SMEs based in USA, Cananda and UK: Worked to develop multiple minor analytical solutions with tasks ranging from database connection, extraction of structured and unstructured data, trasnformation of data through Python, loading of data to online hosted databases

I have created 10+ applications on R for Data Cleaning, Data Analysis, NLP and Machine Learning on R. I started with development in R in Feb 2016 and have increasingly worked with various tools since then.