JESSLIN ANN MAMMEN

A Data Science Enthusiast who is actively working on relevant projects to enhance her skills. PERSONAL INFORMATION

Number: +91-971*******

Email: ada0lw@r.postjobfree.com

GitHub: https://github.com/JayAnnKay

LinkedIn: https://www.linkedin.com/in/jesslin-ann- mammen/

Date of Birth: 6th February, 1995

Location: Delhi, India

EDUCATIONAL QUALIFICATIONS

Christ University, Bangalore

MSc Mathematics (2016 - 2018)

• Core team member, Aarohan, Annual

Mathematics Fest

• Published a paper in Fluid Mechanics with

STM Journals on May 18, 2018

• CGPA : 7.3/10

Jesus and Mary College, Delhi University

BSc Mathematics (2013 - 2016)

• Core team member, Matharena,

Mathematics Fest

• Core team Member, Echo, Western Music

Society

• CGPA : 7.8/10

CERTIFICATION PROGRAMS

• SAP 01, B1_TB1000, TB1100, TB1200

Certificate program (2016)

• Coding Elements - Python for

Data Science (2019)

• Coding Elements - Machine

Learning (2019)

• Machine learning for Python and R (Online;

Udemy)

SKILLS

• Languages: Python, MATLAB, SQL

• Tools/Libraries: Keras, TensorFlow,

Numpy, Pandas, Matplotlib, Scikit-learn

WORK EXPERIENCE

Machine Learning Intern

Coding Elements 2019

• Machine Translation - Implemented a

German to English translator using RNN

• Sentimental Analysis using LSTM

• Generative Adversarial Networks: To

generate new images

• Estimated the time of arrival of a package

using Neural Networks

• All Classic Machine learning algorithms and

related Mathematical concepts

Python Intern

Coding Elements 2019

• Built a chatting app using Flask and Socket.io

• Deployed a chatting app on Heroku

Research Intern under Dr. Rashmi Thukral,

Delhi University (Mathematical Modelling)

Optimizing Post-Demonetization Currency

Disbursal in India 2017

Attempted to formulate a mathematical

problem for optimizing disbursal of Rs2000 and

Rs500 currency notes to populace of India in

the 50 days post demonetization.

HACKATHONS

AMEXPERT-DECIPHER BY ANALYTICS VIDHYA

• Predicted average credit card spend of

American Express customers in the next

three months using Neural Network

• Rank: 106

INNOPLEXUS HACKATHON SENTIMENT ANALYSIS

FOR DRUGS/MEDICINE BY ANALYTICS VIDHYA

• To predict whether a review is positive,

negative or neutral given the text and drug

name.

• Rank: 379

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