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Nitin Kashyap

Lead Data Scientist | Operations Research | Optimization | Forecasting | Simulation

Bengaluru

11+ years of work experience

Zepto
Oct 20233 yrsPresent

Independent Consultant
Mar 20206 yrs 7 mosPresent

Remote

Develop GUI applications in C++ to edit and display PLC Ladder programs on CNC machines. This involved the implementation of graph-based algorithms from literature to translate PLC diagrams to structured text and vice-versa. Develop and implement trading algorithms that deliver a statistical edge in options markets to enable trading of delta-neutral volatility spreads and other leveraged instruments. Design and deploy Instagram bots to help businesses derive insights and improve engagement with their followers
Optym
Jan 202310 mosOct 2023

Bengaluru, Karnataka, India

Developed and productionized metaheuristics for CVRPTW in RouteMAX LTL engine based on different client needs
Optym
Nov 20211 yr 3 mosJan 2023

American Airlines
Jul 20163 yrs 9 mosMar 2020

Dallas-Fort Worth Metroplex

Member of Block Planning Team, responsible for block time optimization balancing on-time performance with airline and crew costs Designed Elastic Net and simulation frameworks predicting route-specific taxi times under variable weather and ATC. Contributed to stochastic optimization models for flight scheduling and de-icing station clustering (DBSCAN). Mentored analysts and presented findings to flight operations leadership.
Texas A&M University
Aug 201510 mosMay 2016

College Station-Bryan Area

• Implement specialized clustering algorithms to identify possible modular architectures in product design by isolating cohesive sub-groups. • Coordinate with other researchers to create graph-based datasets based on different product architectures. • Published a conference paper and presented findings at the Annual IISE (Institute of Industrial and Systems Engineers) Conference • Implementation Large Scale Stochastic Optimization problems in C++ using the CPLEX callable library • Analysis of drug and disease signature data(over 100 GB) to identify new Drug recombination possibilities using R • Developed a Supervised Machine Learning classifier using to identify soccer team fans based on their tweets • Developed a hybrid Greedy-Randomized meta-heuristic(GRASP) to identify cohesive subgroups in social networks

Nitin’s AI Stack

claude code
claude code
cursor
cursor
grok
grok
hermes agent
hermes agent
hugging face
hugging face
langchain
langchain

Education

Texas A&M University

Master of Science (M.S.), Operations Research

Texas A&M University

Ramaiah Institute Of Technology

Bachelor of Engineering (B.E.), Industrial Engineering

Ramaiah Institute Of Technology

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Headline

Lead Data Scientist | Operations Research | Optimization | Forecasting | Simulation

About

I am a Data Scientist and Optimization Specialist with 9+ years of experience applying mathematical modeling, machine learning, and AI systems to large-scale operational challenges in aviation, logistics, and e-commerce.

Location

Bengaluru

AI stack

claude code

cursor

grok

hermes agent

hugging face

langchain

Work experience

Data Scientist - Operations Research at Zepto, Oct 2023 - Present · 3 yrs

Independent Consultant at Independent Consultant, Mar 2020 - Present · 6 yrs 7 mos, Remote, Develop GUI applications in C++ to edit and display PLC Ladder programs on CNC machines. This involved the implementation of graph-based algorithms from literature to translate PLC diagrams to structured text and vice-versa. Develop and implement trading algorithms that deliver a statistical edge in options markets to enable trading of delta-neutral volatility spreads and other leveraged instruments. Design and deploy Instagram bots to help businesses derive insights and improve engagement with their followers

Senior Operations Research Scientist at Optym, Jan 2023 - Oct 2023 · 10 mos, Bengaluru, Karnataka, India, Developed and productionized metaheuristics for CVRPTW in RouteMAX LTL engine based on different client needs

OR Scientist at Optym, Nov 2021 - Jan 2023 · 1 yr 3 mos

Sr. Analyst Ops Planning and Decision Support at American Airlines, Jul 2016 - Mar 2020 · 3 yrs 9 mos, Dallas-Fort Worth Metroplex, Member of Block Planning Team, responsible for block time optimization balancing on-time performance with airline and crew costs Designed Elastic Net and simulation frameworks predicting route-specific taxi times under variable weather and ATC. Contributed to stochastic optimization models for flight scheduling and de-icing station clustering (DBSCAN). Mentored analysts and presented findings to flight operations leadership.

Research Analyst at Texas A&M University, Aug 2015 - May 2016 · 10 mos, College Station-Bryan Area, • Implement specialized clustering algorithms to identify possible modular architectures in product design by isolating cohesive sub-groups. • Coordinate with other researchers to create graph-based datasets based on different product architectures. • Published a conference paper and presented findings at the Annual IISE (Institute of Industrial and Systems Engineers) Conference • Implementation Large Scale Stochastic Optimization problems in C++ using the CPLEX callable library • Analysis of drug and disease signature data(over 100 GB) to identify new Drug recombination possibilities using R • Developed a Supervised Machine Learning classifier using to identify soccer team fans based on their tweets • Developed a hybrid Greedy-Randomized meta-heuristic(GRASP) to identify cohesive subgroups in social networks

Education

Master of Science (M.S.), Operations Research, Texas A&M University

Bachelor of Engineering (B.E.), Industrial Engineering, Ramaiah Institute Of Technology