This challenge was a competition hosted within Deloitte, on a platform called DLabs with cash prizes for podium finishes. It was a Kaggle style competition with public and private leaderboards. Our team managed to place Second.
View this project on Github This challenge was a competition hosted within Deloitte, on a platform called DLabs with cash prizes for podium finishes. It was a Kaggle style competition with public and private leaderboards. Our team managed to place Third. I worked on this competition with Navaneesh Gangala. I was responsible for cleaning data, validating the integrity of the cleaned data, engineering features, training models, using AutoML and ensembling models, etc....
View this project on Github My notes on a few Deep Learning papers. Hopefully, I improve my understanding of Deep Learning in the process (also helps when I want to revisit the paper) while making it easier for other people to read papers.
Contributed to a guide to help resolve Jupyter Notebook connection for the FAST AI library being run on Paperspace. The medium article on the same topic has over 5k views. You can read the article here.
TL;DR (Too Long; Didn’t Read) The paper addresses the following topics: Addressed the problem of silo’ing of data. Addressed how we could update / upgrade Machine Learning models on the fly to accomodate data drift. Discussed how to develop a new kind of data scientist who would possess both technical and business skills. Discussed how this new kind of data scientist would fit into and be aided by Agile pods. This approach would be quicker than waiting for a Data Scientist to develop business skills or vice-versa....
View this project on Github Background Every year the Deloitte Machine Learning Guild hosts an their annual hackathon, which is the largest Data Science / ML hackathon of its kind within Deloitte. Interested folks form teams of 2-4 people and work on the assigned hackathon theme for a duration of 2-4 weeks, after which the teams are judged based on a variety of criteria. The judges are Deloite ML Guild Masters who are subject matter experts in ML and DS, as well as partners who are interested in the field....
This post is a collection of projects I have worked on at Deloitte. These aren’t related to Machine Learning per se. The ML projects at Deloitte are tagged as Deloitte in their respective posts. Oracle Security and Controls: Implemented Oracle EBS and Oracle Cloud Security and Controls on FSCM (Financial Supply Chain Management) and HCM (Human Capital Management) modules on multiple client engagements. Responsible for role builds, defect resolution, data security and access provisioning....
Some random projects that I have worked on: Excel_editor - Python script to automate and simplify common Excel tasks 9gag_scraper - Python script to scrape 9gag gifmymovies - Project to convert songs into gifs Scraping-Cleaning-Threading - Multithreaded scraping in Python Machine Learning for Book Recommendation Systems ML-Insurance-Competition - Prediction of Valid Insurance Claims Pork Price Prediction IMDB Sentiment Review
Education I studied at the Manipal Institute of Technology, Manipal, India. I graduated with a Bachelor of Technology in Electronics and Communication Engineering in 2017. When I joined I was enrolled in the Chemical Engineering program. I switched to Electronics and Communication Engineering in my second year. I graduated with a CGPA of 8.6/10. Electives and Projects Electives Shell Scripting in Linux Cyptography MEMS (micro electro mechanical systems) Robotics. Projects Implemented AES (Advanced Encryption Standard) from scratch in VHDL Made a digit recognizer using the MSP420 micro-controller Built a chainsaw robot for TechTatva Built a heat exchanger
In my free time I will usually: Watch anime / read manga Work out Work on some pet project / jump from one hobby to another Learn a language. I can speak a lot of languages- English, Hindi, Marathi, Tamil, French (B2), German (B1.1) and a bit of -Japanese (N5.1).