Himanshu Koli, FRM

AI Researcher

Delhi, India9 yrs 7 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 9+ years of experience in Data Science and Analytics.
  • Expertise in predictive modeling and risk analytics.
  • Proven track record across multiple industries.
Stackforce AI infers this person is a Data Science and Analytics expert with experience in BFSI, E-Commerce, and Healthcare.

Contact

Skills

Core Skills

Data SciencePredictive ModelingBusiness IntelligenceData AnalyticsMarketing Analytics

Other Skills

Analytical SkillsArtificial Intelligence (AI)Big Data AnalyticsCC++CommunicationCredit CardsCustomer AcquisitionCustomer EngagementCustomer InsightData AnalysisData MiningData VisualizationDeep LearningDemand Planning

About

Data Science & Analytics leader with 9+ years of experience driving business impact through AI, Machine Learning, and advanced analytics. Currently serving as Senior Manager – Data Science, I have a proven track record of delivering high-value solutions across BFSI, Supply Chain & Logistics, E-Commerce, and Healthcare industries in the US, Canada, Australia, and India, Emerging markets( SEAPAC, EMC, Turkey, South Africa) I specialize in predictive modeling, risk analytics, marketing analytics, and supply chain optimization, leveraging a blend of statistical modeling and cutting-edge ML techniques to solve complex business problems. My work spans from feature engineering and A/B testing to full-scale model deployment on AWS (SageMaker, S3, Athena). An MBA from IIM Indore and a FRM Charterholder, I began my career as a software developer in a US-based Healthcare IT firm, building a strong foundation in technology and problem-solving. I hold a B.Tech in Computer Engineering from Delhi College of Engineering (DCE/DTU). Core Skills & Expertise • Analytics & AI: Predictive Modeling, NLP, Statistical Analysis, Risk Analytics, Supply Chain Optimization • Product & Business Analytics: Feature Enhancement, Root Cause Analysis, Metric Design, A/B Testing • Data Engineering & Deployment: AWS SageMaker, S3, Athena, ETL, Model Deployment • Tools & Tech: Python, R, SAS, SQL, Hive, Redshift, SPSS, Tableau, Power BI, QlikView, QuickSight Passionate about turning data into actionable insights, I thrive at the intersection of business strategy and analytics, helping organizations make smarter, faster, and more impactful decisions.

Experience

9 yrs 7 mos
Total Experience
1 yr 11 mos
Average Tenure
1 yr 10 mos
Current Experience

Adidas

Senior Manager, Data Science

Jun 2024Present · 1 yr 10 mos · Gurugram, Haryana, India · Hybrid

  • Responsible for setting up Data Science workstream for Emerging Markets ( EMC, SEAPAC, ITIS, NLE)
  • Launch Data science use cases related to Digital Marketing, Customer Analytics, Pricing, Forecasting and Planning
Pricing StrategyForecastingDemand PlanningCustomer EngagementCustomer AcquisitionCustomer Insight+3

Amazon

Business Intelligence & Analytics

Apr 2022Jun 2024 · 2 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

  • Building Analytical solutions for Amazon India's Transportation Planning across Last Mile, Middle Mile and First Mile network.
  • Developed Forecasting Models for optimised resource planning across Amazon's network
  • Developing automated BI tools that assist stakeholders in quick decision making and cost reduction
Data AnalyticsStatistical ModelingData AnalysisMachine LearningPython (Programming Language)Communication+4

Genpact

Senior Manager, Data Science

Apr 2020Apr 2022 · 2 yrs

  • Delivered Analytics related projects for Supply chain & Logistics clients based out of US
  • Built a Predictive model in Python using ML algorithms like XGBoost, Random Forest to control complaints for remarketed truck units. The model assigns Risk score to units with possible complaints in future
  • End-to-end development of Employee Turnover Prediction Model for optimized Manpower Planning using Python & SQL. Rolled out Pilot in 10 Regions
  • Conducted statistical modeling to estimate the variable cost of repairs as part of pricing the Leasing contracts
  • Prediction of Tire cost of a Logistic client encompassing the forecasting of rubber prices, tire index & repair cost
  • Pitched Collection Analytics POC with customer segmentation, dispute prediction for the largest Logistics client.
  • Segmentation was done using generation of Rules from Decision Tree
  • Analyzed Telematics data to find association between frequent failure codes & repairs using Association rules mining
  • Forecasting Sales for a retail client using an Ensemble of XgbRegressor and Regularized Linear Regression
  • Involved in Recruitment for Data Science roles for various teams
Data AnalyticsStatistical ModelingData AnalysisMachine LearningPython (Programming Language)Communication+5

Nirma university, ahmedabad, gujarat, india

Guest Lecturer

Aug 2019Sep 2019 · 1 mo · Ahmedabad, Gujarat

  • Delivered lectures on Data Analytics/Predictive modeling using R to MBA students as part of Co-Teach activity between EXL and NIRMA University
Analytical Skills

Exl

2 roles

Manager

Jun 2019Mar 2020 · 9 mos · Ahmedabad Area, India

  • Decision Analytics
  • Managing Marketing Analytics & Predictive modeling projects for US and Australia Financial Institutes
  • Building Machine Learning models using Random Forest, Gradient Boosting, Neural networks etc.
  • Devising Selection strategy to allot household under Relationship Management program for a large US based Financial Institute
Data AnalyticsCredit CardsData AnalysisMachine LearningPython (Programming Language)Communication+5

Assistant Manager

Jun 2017May 2019 · 1 yr 11 mos · Ahmedabad Area, India

  • Decision Analytics
  • Managing & ensuring timely, accurate delivery of Marketing Analytics projects of Financial Institutions in the US.
  • Assisting clients in Credit card campaigns- Response Modelling, Balance Transfer, Credit Limit Increases, portfolio diagnostics, spend campaigns, tracking campaigns
  • Hands on experience in building predictive models using Logistic regression, Decision trees, random forest & other Machine Learning techniques and building strategies for growing assets & Member base
  • Experience in Membership & Risk Analytics - Member Lifetime, Cross-sell, Bundling products, Segmentation, collections, using tools like SQL Server, SAS, R, Python, SPSS, MS Excel
  • Recommending Strategic action plans for new Product development & promotional offers for new branches to increase ROI
  • Recommending Portfolio selection strategy for Relationship Management program in banks
CommunicationAnalytical SkillsPredictive Analytics

Iitiimshaadi.com

Intern

Apr 2016May 2016 · 1 mo · New Delhi Area, India

  • 1. Implemented promotional strategies for brand awareness on social media platforms using Digital Marketing, Email Marketing
  • 2. Implemented innovative strategies like campus ambassador program & suggested new front and back end for new PHP website
  • 3. Designed Facebook Adverts, Google AdWords, LinkedIn Sponsored Ads for the target audience and increased web traffic by 35.5%

Edifecs technologies pvt. ltd

Asssociate Software Engineer

Jul 2014Jun 2015 · 11 mos · Mohali

  • 1.Collaborated with Product Development team of 9 in Compliance Management product line Healthcare industry
  • 2.Responsible for development of Pilot Project for major Healthcare clients in Netherlands and USA
  • 3.Responsible for product quality aspects like code test coverage report & web security vulnerability report

Mentor graphics

Intern

Dec 2013Jan 2014 · 1 mo · Noida Area, India

  • 1. Analysed results from test run & generated personalized reports based on the results for new version changes in product
  • 2. Incorporated changes in test suites of major modules to make them compatible with new version of product

Education

Indian Institute of Management, Indore

Master of Business Administration - MBA

Jan 2015Jan 2017

Delhi Technological University (Formerly DCE)

Bachelor of Technology (B.Tech.) — Computer Engineering

Jan 2010Jan 2014

Delhi Public School - India

High School

Jan 2008Jan 2010

Vidya Public School

Jan 1998Jan 2008

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