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Projects and Internships

Current Project @ Tredence Inc.

Customer Experience Track for Fortune 1 Company

Building my client's insights by analysing the customer behaviour
Dealing with the store managers for their direct customer issues
Created and currently designing muliple statistical models for compensation of managers

Academic Projects

Analyzing Cryptocurrencies with Time Series [Click Here]
Guide: Prof. Amit Mitra, Department of Mathematics & Statistics, IIT Kanpur

Estimated & Eliminated trend and seasonality in the historic Bitcoin vs USD exchange data of 7 years
We concluded that for the first 7 years, BTC followed Auto Regressive Moving Average ARMA(7,6) model
The code for all the financial models were written in MATLAB to analyze the cryptocurrency data at ease

Wavelets and its applications [Click Here]
Guide: Prof. Pravir Dutt, Former Scientist, NASA Langley Research Center, US

The aim of the project was to show the real life image compression application through wavelet analysis
Researched on the mathematical advancements on Wavelet Analysis and transformation of functions
Connected the wavelets with image compression for high definition images and Google Maps application

Mathematical Model of an Ideal Timetable [Click Here]
Guide: Prof. Prawal Sinha, Department of Mathematics & Statistics, IIT Kanpur

Developed a computer programme to generate a unique timetable of each student at IIT Kanpur
The model is based upon the primary data collected from the daily lives of IIT Kanpur students
The programme is written in Python and is based on an open and static mathematical model

Heuristic Analysis of "Growth of Paytm" [Click Here]
Guide: Prof. Debayan Pakrashi, Department of Economic Sciences, IIT Kanpur

Studied different factors and economic circumstances responsible for the exponential growth of PayTM
Conducted primary survey for data collection and studied the impact of PayTM on e-commerce in India
Published the project paper in the International Journal of Engineering Research & Technology

STS - 134 Space Shuttle Model
Guide: Prof. Anish Upadhyay, Department of Material Science & Engineering, IIT Kanpur

For the course - Technical Arts 201 (TA201A), Fall 2015 at IIT Kanpur
Worked in a team of 5 students to structure NASA’s space shuttle ‘Endeavor’ with orbiter
Manufactured in 6 weeks with mild steel and cast iron using basic manufacturing techniques

Mechanical Blender
Guide: Prof. Niraj Sinha, Department of Mechanical Engineering, IIT Kanpur

For the course - Technical Arts 202 (TA202A), Spring 2015 - 2016 at IIT Kanpur
Worked in a team of 7 students to manufacture a working mechanical blender model
Project consisted of techniques like lathe, milling, drilling and assembling with finer finishing

Presentations in Humanities & Social Sciences

Language & Gender [Click Here]

For the course of Languages of South Asia, Fall 2016, IITK, Instructed by Prof Chaithra Puttaswamy
The presentation described the differences of language styles between male and female all over the world
Fetched a score of 14.5 out of 15.0 for the presentation, making it the highest in the class

Psychology of War [Click Here]

For the course of Psychology of Adjustment, Fall 2016, IITK, Instructed by Prof Braj Bhushan
The presentation described the triggering factors due to which countries collide
Different states of mind and different disorders like PTSD, etc were discussed

Internships

School of Accelerated Learning, Mumbai, India [Click Here]
Summer Intern (Supervisor: Raj Desai, Co-founder, SOAL)

Received a Pre Placement Offer at a designation of the Product Manager in the company
Researched on various methodologies for modern web-dev frameworks like NodeJS, React & Electron
Deployed multiple web products in Heroku and AWS and maintained the backend DB in Postgresql

National Research Tomsk Polytechnic University, Russia [Click Here]
Research Fellow (Supervisor: Prof. Mikhail Semenov, TPU, Russia)

Worked on moment matching scenario generation with application to financial portfolio optimization
Generated scenario trees for multistage problems using the mean CVaR model for portfolio optimization
Implemented the algorithm in R using real-time price data for 25 stocks from Moscow Stock Exchange

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