D

Deepanshu Geed

Associate Partner

Bengaluru, Karnataka, India9 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Data Analysis and Machine Learning.
  • Proven track record in inventory optimization projects.
  • Strong background in algorithm development for e-commerce.
Stackforce AI infers this person is a Data Scientist with expertise in Retail and E-commerce analytics.

Contact

Skills

Core Skills

Data AnalysisMachine LearningBackend DevelopmentAlgorithm Development

Other Skills

RPythonSQLStatistical Data AnalysisJavaNodeJSRedisJavaScriptC++HTML and CSSMicrosoft OfficeCMatlabResearchTeamwork

Experience

9 yrs 6 mos
Total Experience
3 yrs 6 mos
Average Tenure
4 yrs 6 mos
Current Experience

Indian revenue service (irs)

Assistant Commissioner, Officer Trainee

Dec 2021Present · 4 yrs 6 mos · Delhi, India

Accenture

2 roles

Data Science Analyst

Jul 2018Jan 2023 · 4 yrs 6 mos · Bengaluru Area, India

  • Working on multiple projects based on Inventory Optimization and Demand Forecasting and After-market Analytics
  • Built statistical models for optimizing inventory across retail and online channels for UK's major mobile and accessories retailer
  • Conducted multiple simulations and what-if scenarios to understand different factors such as delivery date, product ranging and service levels impact business in terms of availability, warehouse 
load and loss of sales
  • Automated multiple complex processes through R, Python & SQL to reduce deliverable completion time
  • Created a plug and play Stock Optimization Control Tower dashboard incorporating all the end to end sub-processes
RPythonSQLData AnalysisStatistical Data AnalysisMachine Learning

Summer Intern

May 2017Jul 2017 · 2 mos · Bengaluru Area, India

  • Received PPO (pre-placement offer) for the work done during the course of the internship
  • Project Title: Monitoring system for automatic anomaly detection
  • Formulated & created an analytical model in R to analyze, detect & predict equipment failure in industry operations
  • Applied Hidden Markov Model using Viterbi & Baum-Welch Algorithm to detect and predict anomalies in the system
  • Implemented outlier removal using LOF Removal and Gaussian Mixture Model using EM Algorithm for clustering
  • Created an interactive dashboard in R Shiny implementing the analytical model for showing it to prospective clients
  • Project Title: Language Modeling for dynamic predictions of next best words using Markov Chains
  • Developed and trained a unigram model based on historical text data to predict the next best word accurately
  • Created a Vector Space Model trained using Neural Networks to establish a relationship between words in a corpus
RStatistical Data AnalysisMachine LearningJavaData Analysis

Alabo technologies

Summer Research Intern

May 2016Jul 2016 · 2 mos · New Delhi Area, India

  • Project Title: Designing a Reverse Proxy Cache System
  • Conceptualized and programmed a reverse proxy cache system using Redis as a storage in NodeJS to accelerate the serving of HTTP web pages of the ecommerce website.
  • Implemented features such as cache invalidation, grace and node clustering to reduce load and to increase the hit ratio.
  • Made a login platform for the sellers to add the products real time to the e-commerce website including session security using Passport.js.
  • Implemented cache invalidation in the Cache system using two methods namely refresh when modify and refresh after a fixed time interval.
  • Improved and incorporated the features of existing cache systems such as Memcached and Varnish.
NodeJSRedisJavaScriptBackend Development

Indian institute of technology, delhi

4 roles

Overall Coordinator, Training and Placement Cell

Promoted

Apr 2016Apr 2017 · 1 yr

  • Led 4-tier multidisciplinary team of 21 committees, 48 coordinators and
  • 200+ volunteers for internship and placement of 2500+ students; involving 500+ national and international recruiters
  • Implemented first-ever automated slotting software to efficiently manage 500+ personal interviews of 140+ profiles
  • Instituted multi-dimensional work evaluation policy for 200+ volunteers & CTMs to increase overall team efficiency
  • Introduced and simplified online self-arranged internship portal to automate internship enrollment for 1500+ students
  • Collaborated with 15+ companies across diverse sectors to organize 10 preparatory workshops for 2500+ students
  • Restructured Central Team to boost involvement of all departments for increasing participation of core companies

Core Team Member, Training and Placement Cell

Promoted

Apr 2015Mar 2016 · 11 mos

  • Worked in a team of 7 members responsible for contacting and coordinating with companies for recruitment of 1200+ students
  • Efficiently managed resources for logistics and manpower requirement for the companies coming to campus
  • Responsible for planning and scheduling placement process for the companies participating in placement season.
  • Mediated between students, institute and companies in order to maximize sum of benefits to all stakeholders.

Website Coordinator, Open House

Promoted

Jan 2015Apr 2015 · 3 mos

  • Was an administrator to OPEN HOUSE's 2015 website (www.openhouse.iitd.ac.in)
  • Created an entirely new website with improved UI and better design replacing the older website
  • Responsible for handling online visitors registrations database and online project submissions through online portal
  • Maintained and managed content as well as updated the entire website frequently according to the needs

Executive

Aug 2014Apr 2015 · 8 mos

  • Organized first ever Youth Parliament in IITD with participation from colleges across NCR
  • Presented and executed our original strategy-game based on Auction Theory in different colleges of Delhi.
  • Organised and conducted Tuesday Night Discussions and many other events related to economics
  • Managed, maintained and researched the content both online and offline

Humaralabs

Summer Intern

May 2015Jul 2015 · 2 mos · Gurgaon, India

  • Project Title: Vehicle routing problem statement and solution approach in e-commerce fulfillment industry
  • Programmed and implemented algorithm based solutions in Java which can automatically and optimally provide the best route for delivery from a delivery center.
  • Simplified the problem of mapping address to geographical latitude and longitude and implemented the solution
JavaAlgorithm Development

Education

Indian Institute of Technology, Delhi

Dual Degree — Mathematics and Computing

Jan 2013Jan 2018

Kendriya Vidyalaya No. 3 Bhopal

High School — Mathematics and Science

Jan 2005Jan 2012

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