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Harsh Uttarwar is listed as Supply Chain Manager at Louis Vuitton | Columbia University | Planning, Operations, Supply Chain Analytics and Sustainability | New York at Louis Vuitton, a with 14345 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at louisvuitton.com and a matched LinkedIn profile for Harsh Uttarwar.
Harsh Uttarwar previously worked as Supply Chain Planning Manager at Louis Vuitton and Course Assistant - Corporate Finance at Columbia University. Harsh Uttarwar holds Master Of Science - Ms, Industrial Engineering, 3.65 from Columbia University In The City Of New York.
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AeroLeads found 1 current-domain work email signal for Harsh Uttarwar. Compare company email patterns before reaching out.
- Supply Chain Manager at Louis Vuitton - Masters in Industrial Engineering from Columbia University with passion for analytics and supply chain- Optimized Warehouse Operations at Fresh Direct, NY.- As a data science student consultant, reduced the drug-discovery costs for Frederick National Lab, NIH. - Being a project trainee at Mercedes Benz, worked on process improvement as well as spearheaded Continuous Improvement projects.- Interned at Ernst & Young, India; worked on inventory analytics, cost reduction and risk management- My graduate coursework was focused on gaining a skill set in analytics and operations. My undergraduate coursework and projects have equipped me with technical on-ground exposure of operations, optimization techniques, statistics, supply chains, project management and lean manufacturing- Student Exchange programs:a) Nanyang Technological University, Singapore b) Hof University, GermanyResearch Papers - (1) "Layout Improvement at a Printing Press", SSRG International Journal of Industrial Engineering 7(3), 9-24, 2020(2)"Rework Reduction of Gaps and Alignments in an Automobile Assembly Plant", Global Journal Of Research In Engineering, 20(1-B), 2020(3)"Near dry turning on high carbon high chromium steel for improvement of machining performance ", International Journal of Emerging Technologies and Innovative Research, 6(5), 48-53, 2019Areas of Exposure -- Process Improvement: Lean Manufacturing, Layout Planning, TOC, Six Sigma, Project Management, Warehouse Optimization- Operations Research: Linear/Dynamic/Integer Programming, Queuing Models, Network Analysis, Inventory Control Models, Sequencing, Decision and Replacement Theory - Business Analytics: Probability, Inferential Statistics, Hypothesis Testing, Regression Models, K-means Clustering, KNN, Forecasting, MAB- Programming: Python (Numpy, Pandas, Matplotlib, Seaborn), SQL, Tableau, R, MATLAB, Advanced MS–Excel
Listed skills include Leadership, Quality Management, Consulting, Lean Manufacturing, and 42 others.
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New York, United States
- Optimizing distribution of Mens Accessories and Packaging throughout Americas - Managing events in MidWest MidAtlantic region- Working towards sustainability and reducing carbon footprint
New York, United States
- Executed short and long-term strategic optimization initiatives to improve facility flow and balance, direct to bin strategy, SKU expansion, data integrity, inbound process improvement, inventory capacity, performance and seasonal planning.- Automated the inventory slotting process by designing a detailed recommendation system using Python; achieved 23% increase in warehouse efficiency and improved space utilization- Eliminated 150 manual working hours annually and achieved significant risk mitigation
United States
In charge of 30 students working in multiple domains (demand forecasting, linear programming for cost optimality, building a lead generation tool, go-to-market strategy, omni-channel demand planning, etc), amongst 8 companies ranging from start-ups (Changing Room, Bucephalus, etc) to multi-national firms (Louis Vuitton, AT Kearney, UNDP, etc)
New York, United States
- Streamlined the drug discovery process, built Neural Networks, RF & Xgboost models with average accuracy of 83%; screened inactive ligands of a Cancer protein utilizing Python to minimize clinical trials- Enhanced the AMPL module by identifying existing errors, collaborating with senior data scientists, andproviding 4 tutorials for Ligand-based Modelling
India
- Analyzed potential issues and impact areas for $68M worth of inventory across 10 warehouse facilities- Proposed and executed a set of corrective measures for revenue enhancement and reducing risks; investigated process gaps in inventory transfers and identified cost redundancies worth $135,000
India
- Designed a 6 station assembly line, analyzed buffer requirements and conducted time study; optimized operator movements and station layout by applying SLP approach achieving 25% excess space utilization- Drove root cause analysis and reduced 35% rework at bottleneck workstation while improving cycle time by 15%. Research published in ‘Global Journal Of Research In Engineering’
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馮亭婷
Colleague at Louis VuittonTaiwan, Province Of China
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AC
Alexander Cova
Colleague at Louis VuittonChile
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JL
Julie Loisel
Colleague at Louis VuittonParis, Île-De-France, France
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DA
Daniel Andre
Colleague at Louis VuittonLondon, England, United Kingdom
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CP
Chloé Portelette
Colleague at Louis VuittonFrance
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SM
Skot Makiya
Colleague at Louis VuittonBeverly Hills, California, United States
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MD
Marina Dvorskaya
Colleague at Louis VuittonParis, Île-De-France, France
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LC
Léa Chasseuil
Colleague at Louis VuittonClermont, Hauts-De-France, France
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JK
Jonas Kachelhoffer
Colleague at Louis VuittonParis, Île-De-France, France
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ND
News Delhi
Colleague at Louis VuittonTunis, Tunisia
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Coursework: Transportation and Logistics Analytics, Optimization Models, Stochastic Modelling, Statistics, Tools for Analytics, Game.
Coursework: Supply Chain Analytics, Business Analytics Course Assistant: Operations Consulting
Coursework: Accounting, Advanced Excel, Advanced Financial Modeling, Sensitivity Analysis and Forecasting, Business Valuation, Corporate.
Coursework - Supply Chain Management, Statistics, Lean Manufacturing, Operations Management, Optimisation Techniques, Work System Design.
Coursework: Digitalisation, SCRUM process, Value Stream, Procurement and Logistics. Coursework included case studies and lectures given.
Coursework: Statistics and Probability, C Programming
Quick answers generated from the profile data available on this page.
Harsh Uttarwar works for Louis Vuitton.
Harsh Uttarwar is listed as Supply Chain Manager at Louis Vuitton | Columbia University | Planning, Operations, Supply Chain Analytics and Sustainability | New York at Louis Vuitton.
AeroLeads has found 1 work email signal at @louisvuitton.com for Harsh Uttarwar at Louis Vuitton.
Harsh Uttarwar is based in New York City Metropolitan Area, United States while working with Louis Vuitton.
Harsh Uttarwar has worked for Louis Vuitton, Columbia University, Freshdirect, Columbia University In The City Of New York, and National Cancer Institute (Nci).
Harsh Uttarwar's colleagues at Louis Vuitton include 馮亭婷, Alexander Cova, Julie Loisel, Daniel Andre, and Chloé Portelette.
You can use AeroLeads to view verified contact signals for Harsh Uttarwar at Louis Vuitton, including work email, phone, and LinkedIn data when available.
Harsh Uttarwar holds Master Of Science - Ms, Industrial Engineering, 3.65 from Columbia University In The City Of New York.
Harsh Uttarwar is listed with skills including Leadership, Quality Management, Consulting, Lean Manufacturing, Public Speaking, Supply Chain Optimization, Industrial Engineering, and Process Optimization.
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