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Machine Learning, Research, Python, Data Science

Delhi, India
December 08, 2019

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Anshuman Padhi

Ph: +91-850*******



Research Intern, Central University of Rajasthan

June 2019 - July 2019

Devised a computationally simpler debiasing algorithm; applied it on Hindi word embeddings generated using word2vec; the paper will be presented in MLNLP conference 2019, China in December.

Robotics Intern, Delhi Police

January 2019 - June 2019

Assembled an autonomous surveillance UAV (hexacopter) in less than 3 hours; calibrated and tested all the components; designed flight plans.

Marketing Strategist,

January 2019 - April 2019

Devised a robust strategy to hire loyal content writers and campus ambassadors.

Marketing Intern, Roast Media Pvt. Ltd.

November 2017 - December 2017

Publicity, marketing of the Roast app; increased total downloads by 5%.


Secretary, Rotaract Club of New Delhi Next under Rotary Club of New Delhi, RID-3011

Vice-President, International Organization of Software Developers, student chapter (IOSD MSIT)

Organized Internship fair at NSUT; assisted Resumod in selection interviews among other tasks.

Organized HackMSIT, a hackathon at MSIT; finding sponsors; content writing; managed and headed content and designing team; co- managed corporate, publicity and operations departments; co-headed the event.


An active participant of Rotaract Club of New Delhi Next since July 2018. Headed a few projects like Talent Hunt in a School and Rap Battle on an online platform. Volunteered in many projects like Jute Bag

Distribution Drive, Plantation Drives, Blood Donation Camps, Hygiene and Sanitation Awareness camps and seminars, etc.


Maharaja Surajmal Institute of Technology, Janakpuri Btech, Electronics and Communication (2017- 2021)

CGPA: 7.7 (4 semesters)

VVDAV Public School, Vikaspuri

XII Board - 81.1%

X CGPA - 10


Data Structures and Algorithms (C++ and a little bit of python) Microsoft Excel

Google Colab

Jupyter Notebook (experienced)

Machine Learning using Python

Python libraries Pandas, NumPy, Sklearn

Python API’s Keras, Tensorflow (beginner)

Fundamental statistical and data analysis

Data visualization Python(beginner), Excel

Pattern and trend detection

Managing and organizing


● C/C++

● Python



A better understanding of ML and DL (January 2019)

Understanding how to decide specifics of layers required for a task; optimization of tasks; image classification and captioning using ML and

DL (2-2.5 months)

Movie recommender system (late January 2019)

Live system; input: similar movies and/or tags; output: movies most related to those; implementable using LSTM with RNN

(2-4 weeks).

Effect of a TV Show on Baby Names (January 2019)

Analyze how a TV show affects names of new-borns during its air time; identifying the effect on already popular names will be challenging (3-5 weeks).

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