Hello

I'm Ruturaj Patel

Data Scientist & Youtuber

Hello! I'm Ruturaj Patel.

2022 - Present

Responsible for leading Machine Learning Product which predicts the resignation events, sales events and promotion events in the People Analytics domain
Developed community predictions model based on the combination of all clients data with over 200 million employee population.
Analyzing and researching high quality employee data to uncover the patterns related to compensation and how it impacts the resignation event in an organization. Multiple Insight reports published and contributed to the Smart Compensation Product - Find more about Product here

2020 - 2022

Responsible for leading projects to derive and optimize Machine Learning Solutions and Big Data Pipeline architecture for large scale data driven projects
Developed Statistical model based on various business KPIs related to lending, mortgage and cashflow serving Business Account Managers.
Developed big data pipeline using standardized Kubernetes based cloud engine and responsible for sourcing data from HDFS and automate batch jobs using PySpark, Luigi to populate multiple ODS including SQL Server and MongoDB

2018 - 2020

Payments Canada - Developed multiple Data Models using Python, Pandas, Sci-kit learn, Hive SQL and Flask REST API as a part of Payments Canada Modernization initiative to derive various business insights of future state based on the Large-Value Transaction data to help RBC stakeholders strategically derive future collateral allocation with Bank of Canada
RBC Insight Edge©– Developed Big data pipeline and deployed insight driven Machine learning models to help retailers understand their client base using various statistical techniques. The tool helps business clients to make strategic decisions for their future business expansion based on various statistical distributions.
Developed enhanced Customer similarity model using Machine Learning to help clients derive the regional distribution of their potential customers based on their current customers’ transaction pattern.
Developed Mock Data Transaction Generator Python package using statistical distribution of real-world transaction patterns which can generator millions real-like transactions within minutes. Ultimately reduced development defects by over 50%

2017

Developed an end-to-end minimum viable product to Predict and Prevent Fraud in Real time and filed provisional patent for the product.
Used machine learning and big data analytics to utilize the tremendous amount of data flowing through the system to predict suspicious activity in real-time
Won first price among all the Amplify teams with "Best Overall Solution" Award and prize.
Official Registered Patent - Link

2014 - 2016

Developed HR management System for Health Sector of the government
Developed Business Management System using Java (Spring & Hibernate)
Developed Lion Census Android Application Gujarat using Android, SQLite with GPS integration
Developed Enterprise Information Portal Project for Gujarat Narmada Fertilizers & Chemicals Limited

2012 - 2014

Developed “Clink” - a unique loyalty program using php, SQL, PhoneGap and provides interactive ways to users of the program to exchange coins based on usability at different merchant stores
Developed “Speech Pod” – A Home Automation System using Java, Android and Arduino; this is a speech interactive design project that controls switch boards by voice commands at homes and offices

2016 - 2018

2011 - 2014

2008 - 2011