Anshuman Chakravarty


EDUCATION

IIT KHARAGPUR
Integrated MS in Mathematics and Computing
Batch of 2020
CGPA 8.68 (out of 10)

D.A.V. MODEL SCHOOL
Batch of 2015
Class 12 CBSE : 96.4 %

COURSEWORK

STATISTICS
Probability and Statistics
Statistical Inference
Computational Statistics
Regression and Time Series
Stochastic Processes

CS
Design and Analysis of Algorithms
Object Oriented Systems Design
Database Systems
Computer Networks\(^{\ast}\)

MISCELLANEOUS
Linear Algebra
Operations Research
Optimization Techniques
Multiobjective Programming\(^{\ast}\)

SKILLS

PROGRAMMING
Bash   Git   C++   SQL   Tableau
Numpy   Pandas   Scikit-learn
NLTK   Flask   AWS (S3, Redshift)

COMPETITIONS

Coding Hackathon Inter-IIT Tech Meet
Winners, December 2019

Excavate Data Science Challenge
Winners, March 2018

Accenture Innovation Jockeys Season 5
Winners, October 2016
Category - Detecting Fraud and preventing
Business Malpractice

EXPERIENCE

OMDENA • MACHINE LEARNING ENGINEER
May 2020 - June 2020 • Remote
Applied topic modelling algorithms on extracted reports of Domestic Violence from social media, news articles and government websites to identify trends pre and post lockdown along with demographic information by implementing Named Entity Recognition techniques.

BIDGELY• SOFTWARE ENGINEERING INTERN
May 2019 - July 2019 • Bangalore
Performed experiments to cluster similar homes to gain relevant insights, using rules derived from the different house parameters and understanding the UML class and sequence diagrams, i.e. the Object Model which helped in reducing the estimated time to run a clustering experiment using derived rules, from 1-2 weeks to within a week through automation.

SCHLUMBERGER • DATA SCIENCE INTERN
May 2018 - July 2018 • Pune
Applied text analytics techniques on Purchase Order description data for feature representation and used Random Forest Classifier to predict possible Part Number of a product from preprocessed text descriptions which increased the accuracy by 11%.

IISER KOLKATA • RESEARCH INTERN
May 2017 - July 2017 • Kolkata
Studied the theory behind curve fitting and applied it to derive twelve types of Pearson’s Curves from the ODE for unimodal distributions. Used it to make inferences on a sample dataset based on calculated parameters of the specific curve type which would give us a reasonably good fit for the data.

PROJECTS

REDDASH • MICROSOFT CODE FUN DO
October 2018
Built a disaster management dashboard to help rescuers and victims involved in an ongoing calamity. It has 3 main features, a disaster type recognizer for picture uploads, an affected area zone map and an SMS app which facilitates communication between victim and rescuer, also linked with the main web dashboard.

ADLAS • SOFT COMPUTING TOOLS IN ENGINEERING
Jan 2017 - April 2017
Monitored user behaviour to recognize patterns in how and when one launches and runs a desktop application, and used clustering techniques to group the applications to automate the process of launching them once the intent of the user is detected.