CV of Rachit Bansal, a Deep Learning enthusiast with a demonstrated history of working in the computer software industry. Skilled in Python (ML, Web Scrapping, Web Automation), C++, R and SQL. Strong professional with a Bachelor of Technology - BTech focused in Electrical Engineering from Delhi Technological University.

1. Technical Skills
• Machine Learning
‣ RNNs and LSTMs (For NLP)
‣ CNNs
‣ Multi Layered Perceptrons
‣ Support Vector Machines
‣ Linear Regression
‣ Logistic Regression
‣ K-Nearest Neighbours
‣ K-Means
• Google Firebase
• Python
‣ Web Scrapping
‣ Web Automation
• R and SQL (Basic)
• C++
Education Qualifications
Bachelor of
Technology
(Electrical
Engineering)
2018-2022 Delhi Technological
University
CBSE Class XII
(AISSCE)
2018 Bal Bharati Public
School, Dwarka
92% AGG.
CBSE Class X
(AISSCE)
2016 Bal Bharati Public
School, Dwarka
10 CGPA
Rachit Bansal
(+91) 9205677801 rachitbansal2500@gmail.com M-172, Vikas Puri, New Delhi- 110018
Projects
TEXT/NOVEL GENERATION USING RNN — 04/2019
A model that returns text of a specified word count and writing style,
given textual data of a particular writer. Used Recurrent Neural
Networks.
IMDB MOVIE RATING PREDICTION — 03/2019
Movie rating prediction from movie reviews, using an RNN model
trained on the Keras iMDB dataset. Used RNN and LSTM.
NUMBER PLATE RECOGNITION AND TEXT EXTRACTION —
01/2019
A model which uses Connected Component Analysis (CCA) and
Support Vector Classifier (SVC) to extract the digits on a Number
Plate which is further uploaded to Google Firebase to be used in an
android application that monitors the vehicle activity in a parking lot.
Created at IIT-Delhi's Paytm Hackathon, 2019.
EMOJI PREDICTION FROM SENTENCES — 03/2019
Given a statement, this program will return an appropriate emoticon
to capture the emotion contained in it. Multi Layered LSTM. Used
Stanford's GLoVe vectors.
Links
Github: https://github.com/RachitBansal
LinkedIn: https://www.linkedin.com/in/rachit-bansal-564725161/