Hi I am Utsav Majumdar,
I love to tinker with data, solve constrained systems of equation and implement algorithms and heuristics (mostly) geared towards optimization purposes.
Having worked in the manufacturing industry, I enjoy getting my hands dirty in the shop-floor as well, where I can implement tangible improvements through optimization.
Also I absolutely love composing music! 🎸🎶
C/C++
Python
SQL
CPLEX
MATLAB
CUDA
Java
R
Bash
HTML5/CSS3
Gurobi
Networkx
Microsoft Excel
PyCUDA
PyTorch
SAP
Jekyll
Discrete Optimization / Mathematical Programming
Material Requirement Planning / Inventory Control
Procurement / Supply Chain Management
Production Planning / Scheduling
Git
Solidworks
Ansys
Accelerating Linear Assignment Problem solvers (on-going):
Implementing primal algorithms to solve the LAP problem in an iterative dynamic setting, which further is used to solve Resource Capacitated Assignment Problems (RCAP) using sub-gradient algorithms in a branch and bound setting.
Developing a sequential codebase in C++ along with parallel computing codebase using CUDA to further accelerate the solver.
Internship Project:
• Built a should-costing model for injection molding tools for the team to use on confluence workspace
• Validated and benchmarked the model and achieved less than 10% cost variance compared to existing quotations
• Built flexible UI focused on user-accessibility, transparency, and minimizing reliance on supplier information
• Automated the calculation and established standard operating procedures for sustained usage of model
Cost Reduction:
• $17.2k savings across 5 injection molding tools using should-costing model
• Achieved a $1.06M annual saving by internalizing side view mirrors for Model Y and Model 3
• $3.9k saving on tooling cost for overmolded part in side-view mirror along with quality improvement
• Achieved annual saving of $125k on Cybertruck latch and $1.8M on future project through negotiation and design change
• Worked on sourcing, contract agreement, packaging improvement, and chargeback resolutions
Concentration - Operations Research and Advanced Analytics
Worked on multiple projects in the field of optimization and data science.
Coursework:
• Game Theory and Fair Division
• Integer Programming
• Optimization for Large Scale Networks
• Big Graphs and Social Networks
• Computing for ISE
• Advanced Stochastic Processes
• Optimization for Large Systems
• CS for Quants
• Analysis of Network Data
• Data Visualization
Positions held:
• Vice-President, Indian Graduate Student Association
• Cultural Secretary, Bengali Students Organization
• Graduate Outreach Lead, SPICMACAY
• Member, IISE
Overview and KPIs achieved:
• Sole member responsible for entire factory import operations
• Handled 18 overseas suppliers and 4 domestic suppliers, encompassing above 2000 unique electrical and mechanical parts from 9 countries
• On-time Delivery Ratio - Increased from 86% to 99.7%
• Airfreight Cost - Reduced by 40%
• Cost Reduction - 6200 INR/elevator unit
• Used Excel, SQL, and Python to automate multiple processes and improve database management
Material Requirement Planning and Inventory Control:
• Created Standard Operating Procedures for handling imports with special emphasis on handling inventory for Phase-in / Phase-out parts
• Created order planning sheets and standardized monthly ordering process
• Contingency planning for post-pandemic strain on supply chain and inventory re-optimization considering the global semiconductor shortage and logistical disruptions
Supply Chain improvement and Costing:
• Improved frequency and accuracy of order forecasting
• Optimized ordering strategy and incoterms based on Lead-time changes
• Identified and targeted high cost-impact items for potential cost-reduction activities through ABC, Spend, and Pareto analysis
• Achieved Cost Reduction through Optimized Multi-sourcing, Value Engineering, and Competitive Pricing Negotiation
• Supported in localization activities, especially fasteners, terminals, wires, PCBs, cast iron parts
• Utilization of Dead Stock through Design changes
• Worked on packing improvements and supported logistics
Internal Operations improvement and Automation:
• Used SAP and Mitsubishi's ERP to handle bulk data and create automated custom databases using SQL and Python
• Automatized material requirement planning based on detailed study on Bill of Material and market projection
• Implemented poka-yoke to reduce man-hour wastage and develop standardized Lean operations.
• Root cause analysis and strategizing countermeasures to eliminate bottlenecks in the supply chain
• Worked on Computational Fluid Dynamics (CFD) Study of Ethanol Fuel injected Gas Turbine Combustor as an alternative biofuel
• Designed Gas Turbine combustor using Solidworks
• Simulated combustion of ethanol on Ansys Fluent to achieve desired smooth temperature gradient pattern factor at the outlet
• Implemented improvements in Engine and Electrical Subsystem for a Formula style hybrid racecar, which was designed, assembled, and tested in college premises
• Secured 2nd Place internationally in FSAE ISSS Formula Hybrid 2018 in New Hampshire
• Won General Motors Spirit of Formula Hybrid award
• Implemented Electronic Throttle System as opposed to Manual cable throttle, for more precise control of airflow for intake manifold and eliminating risk of cable breakage
• Designed the engine cooling system and calculated radiator specifications based on LMTD method for heat exchangers
• Worked on OEM selection and procurement
• Hands-on experience in assembling electrical and mechanical components on the car
Key areas of concentration - Automotive Engineering, Fluid mechanics, Thermodynamics, Material science
Publication: Thotadara Shivalingappa R, Narasimha Murthy HNR, Majumdar U, et al. (2021) 'Development of poly (vinylidene fluoride)/silver nanoparticle electrospun nanofibre mats for energy harvesting', Polymers and Polymer Composites
Positions held:
• Engine Team Lead, Ashwa Racing (Formula SAE team)
• Head of Cultural Activities Team