Nitin Kashyap

Data Scientist

Bengaluru, Karnataka, India10 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 9+ years of experience in data science and optimization.
  • Expert in machine learning and AI systems for operational challenges.
  • Proven track record in aviation, logistics, and e-commerce.
Stackforce AI infers this person is a Data Scientist specializing in Operations Research and Optimization across Aviation and Fintech industries.

Contact

Skills

Core Skills

Software DevelopmentAlgorithm DevelopmentSocial Media EngagementOperations ResearchSimulation ModelingStochastic OptimizationData AnalysisData CollaborationMachine LearningSocial Network Analysis

Other Skills

C++Graph-based algorithmsTrading algorithmsStatistical analysisBot developmentSocial media analyticsMetaheuristicsOptimizationElastic NetClusteringClustering algorithmsGraph-based datasetsCollaborationCPLEXR

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.

Experience

10 yrs 9 mos
Total Experience
2 yrs 1 mo
Average Tenure
2 yrs 7 mos
Current Experience

Zepto

Data Scientist - Operations Research

Oct 2023Present · 2 yrs 7 mos

Optym

2 roles

Senior Operations Research Scientist

Promoted

Jan 2023Oct 2023 · 9 mos

  • Developed and productionized metaheuristics for CVRPTW in RouteMAX LTL engine based on different client needs

OR Scientist

Nov 2021Jan 2023 · 1 yr 2 mos

Independent consultant

Independent Consultant

Mar 2020Present · 6 yrs 2 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

American airlines

Sr. Analyst Ops Planning and Decision Support

Jul 2016Mar 2020 · 3 yrs 8 mos · Dallas/Fort Worth Area · On-site

  • 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

Research Analyst

Aug 2015May 2016 · 9 mos · Bryan/College Station, Texas 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

Mahindra & mahindra

2 roles

Assistant Manager - Industrial Engineering - Paint Shop

Aug 2013Jun 2014 · 10 mos

  • Measured the work content for changes in the process and measured the impact on the manpower allocation
  • Coordinated the monthly inventory measurement of the Indirect Stores and reviewed the plans for managing the inventory
  • Emphasized the need to develop new jigs for handling closures and upgraded the current jigs to reduce the work content of the jig fitment and removal operations by 8%
  • Participated in the TPM operations of the shop by championing the Kobetsu Kaizen pillar and analyzed the loss-cost matrix to reduce line losses.

Graduate Engineer Trainee

Aug 2012Aug 2013 · 1 yr

  • Measured the work content for new models introduced in the Paint shop and measured the impact on the manpower allocation
  • Formulated the manpower allocation for higher capacities and their fallback options with respect to unpredicted absenteeism
  • Participated in the value engineering program and effected an estimated $100,000 saving by communicating design changes to the product

Education

Texas A&M University

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

Ramaiah Institute Of Technology

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

Indian Institute of Science (IISc)

Continuing Education — Reinforcement Learning

May 2023Present

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