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  • Patna, India

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ashupk/README.md

Hi there, I'm Ashu πŸ‘‹

I'm a Learner, Explorer, Analyst, and Writer!!

  • πŸ”­ I just earned these certificates
  • 🌱 I’m currently learning everything πŸ˜…
  • πŸ‘― I’m looking for companies to build their analytics
  • πŸ₯… 2022 Goals: To be alive
  • ⚑ Fun fact: I'm a polyglot, and I love to play piano
  • πŸ• 🐈 🎢 β˜• 🍫 πŸ• πŸ— 🌳 🚴

Right now, I am listening to 🎧

spotify-github-profile

Connect with me:

Gmail Facebook Twitter LinkedIn Reddit Instagram Telegram ResearchGate


Languages and Tools:

Python Anaconda R MATLAB Julia HTML5 CSS3 JavaScript Node.js SQL PostgreSQL Apache Hive Hadoop Tableau MS Office Git GitHub Sublime




πŸ’» Business Projects

Improved sales performance of a North American Telecom Giant by ML driven solutions

  • Used decision tree models to help clients understand their customer demographics
  • Based on data from the US Census Bureau, helped clients to understand store-wise performance
  • Suggested renewal of old stores as well as setting up of new stores at specific locations to increase sales

R

RShiny

ggplot2

Powerpoint

Tableau


Goal Setting FY20 & Goal dashboards for the Fortune 1 Company

  • Modelled yearly Goals for 4000+ retail stores which affected the compensation of 100000+ associates
  • Critical insights shared with the managers regarding for improving their annual bonus compensations
  • The model was generalised for yearly goal settings built on sound statistical and AI driven mechanism

Excel

Powerpoint

SQL

Apache Hive

Hadoop

R

Tableau

Jira


NPS (Net Promoting Score) Driver Model development for the Fortune 1

  • Created an NPS driver database insights dashboard for the executives to understand customer behaviour
  • Variables such as order & store attributes, demographics, web experience, order & pickup experience were taken
  • Key factors were found behind the changing NPS scores among categorical store models based on random forest algorithm

Python

Excel

Powerpoint

SQL

Apache Hive

Hadoop

Jira


Fraud Investigation for the Store Managers of the Fortune 1

  • Dealt with 1000+ ad-hoc fraud investigation requests from store managers
  • Data cleansing on customer experience backend data based upon suspective IPs and Computer IDs
  • Risk reduction of compensatory mechanism by catching and blocking doubtful customers or ex-employees

Excel

SQL

Apache Hive

Hadoop

Jira


Product Management for an Indian programming learning Start-Up SOAL

  • 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
  • Developed early learning modules for advanced full-stack web development & data structures and algorithms

Git

HTML5

CSS3

JavaScript

Node.js

React.js

Electron.js

SQL

Markdown

Slack



πŸ§‘β€πŸŽ“ Research Projects

Moment Matching Scenario Generation Algorithm for Financial Portfolio Optimisation TPU, Russia

  • Worked with Dr. Semenov in the Department of Higher Mathematics and Mathematical Physics at TPU
  • Generated scenario trees for multistage problems using the mean CVaR model for portfolio optimization
  • Found that a negative probability scenario is generated in the algorithm if random parameters are chosen
  • Found that Ponomareva et al, 2015 missed the negative cases, though the required results can be generated

R

ggplot2

Powerpoint

Cross Validated


Wavelets and its Applications (DOI: 10.32628/CSEIT183820)

  • Worked with Dr. Pravir Dutt in the Department of Mathematics and Statistics, IIT Kanpur
  • Researched about image compression algorithm in wavelet analysis based image processing
  • Worked with mathematical advancements on Wavelet Analysis and transformation of functions
  • Connected wavelet theory with image compression for high definition images and Google Maps application

Mathematical Model of an Ideal Time Table (DOI: 10.13140/RG.2.2.19310.00327)

  • Worked with Dr. Prawal Sinha in the Department of Mathematics and Statistics, IIT Kanpur
  • Generated scenario trees for multistage problems using the mean CVaR model for portfolio optimization
  • Found that a negative probability scenario is generated in the algorithm if random parameters are chosen
  • Found that Ponomareva et al, 2015 missed the negative cases, though the required results can be generated

R

ggplot2

Powerpoint

Cross Validated


Heuristic Analysis of Growth of Paytm (DOI: 10.17577/IJERTV6IS040337)

  • Worked with Dr. Pakrashi in the Department of Economic Sciences, IIT Kanpur
  • Conducted primary survey for data collection and studied the impact of PayTM on e-commerce in India
  • Studied different factors and economic circumstances responsible for the exponential growth of Paytm

MS Office

Analyzing Cryptocurrency with Time Series

  • Worked with Dr. Amit Mitra in the Department of Mathematics and Statistics, IIT Kanpur
  • Concluded that for the first 7 years, BTC followed Auto Regressive Moving Average ARMA(7,6) model
  • Estimated & Eliminated trend and seasonality in the historic Bitcoin vs USD exchange data of 7 years

MATLAB

MS Office



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