Himanshu Gulati
Data Science, Analytics & AI | Supply Chain | MSU | PEC
- Role
- Manager, Data Science & Analytics at Tiger Analytics
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Himanshu Gulati
Himanshu is a skilled data science/ analytics consulting professional with 9+ years of experience in Banking, Financial services, CPG, insurance, retail and MLM retail domain, working in engagement with the UK, European, and US clients. He has worked on multiple projects such as model development, validation and monitoring, webpage development, data visualization, and regulatory reporting.Himanshu has worked in various countries such as India, Germany, the UK and USA.His technical skillset\'s include SAS, SQL, Python, R, VBA-Excel, visualization tools such as Power BI Data studio & Tableau. Himanshu has subject knowledge in Credit Risk, Application scorecards, PRA Regulatory stress testing models, Machine learning algorithms, Pricing & promotion mix modeling for CPG industries, digital/ marketing analytics, insurance loss cost and severity loss modelling.Himanshu did his Bachelor of Engineering from Punjab Engineering College (formerly PEC University of Technology), Chandigarh in 2016 and completed his MS in Business Analytics from Michigan State University-The Eli Broad College of Business in 2021. He did his internship with Amway as a Data Scientist and worked on propensity modeling for purchasing prediction and product recommendation engines. Research capabilities - Himanshu did his 6 months UG research internship at KIT Germany and 2 months summer intern at IIT-BHU, Varanasi in the field of nanotechnology and also published 1 research paper (ChemPhysChem Journal) and 1 citation at TU Dresden, Germany.Apart from mathematics or data science, Himanshu loves cooking, hiking, painting, doodling, travelling, and watching TV series.Feel free to write at g•••••••@msu.edu
Experience
Manager, Data Science & Analytics
Jul 2023 — Present · Seattle, WA, US
Inventory optimization, Sales forecasting, Capacity Planning, Demand forecasting, Demand transfer, Product recommendation engine, Customer lifetime value (CLTV), Macro guidance model for sourcing, Shelf analytics, Causal Inference- A/B testing/ DiD Inference methods, Machine Learning (ML) Algorithms, Supply chain analytics - First Mile delivery, Middle Mile delivery-(DC-DC transfer, Omni-channel DC transfers, Online transfers, Split shipment, Ship from store, ship to order (STO)), Last mile delivery route Optimization, Reverse mile delivery, Returns analysis Tools - Python, SQL, Py-spark, Power-BI, GitHub, Azure Databricks, Jira/ Asana
Education
Michigan State University - Eli Broad College of Business
Master of Science - MS, Business Analytics
Bhavan Vidyalaya Panchkula
High school
1999 — 2007
Punjab Engineering College
B.E., Materials Science and Metallurgical engineering
2012 — 2016
Bhartiya Vidya Bhavan Chandigarh
High School
2007 — 2010
Skills
- Microsoft Office
- Microsoft Excel
- Analytical Skills
- Material Selection
- Characterization
- Materials Science
- Originlab
- Research
- Microsoft Word
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