Anshul Kumbhare

About Anshul Kumbhare

I bridge the gap between complex engineering systems and scalable AI solutions to drive business ROI.Currently serving as a Data Scientist (Onsite Consultant for Honda), I specialize in the end-to-end Machine Learning Lifecycle (MLOps), from designing robust ETL pipelines to deploying high-accuracy predictive models in production environments. My background is unique: a UK Master’s degree in Engineering combined with a track record of delivering data-driven transformation for Global Fortune 500 clients.I don’t just build algorithms; I architect systems that solve real-world \"noise\" problems. Whether it\'s Anomaly Detection, Time-Series Forecasting, or Reinforcement Learning, my focus is always on Scalability, Model Interpretability, and Operational Efficiency.Core Competencies:Machine Learning & AI: Supervised/Unsupervised Learning, Regression, Classification, XGBoost, Random Forest, Reinforcement Learning, and Deep Learning.Data Engineering & ETL: Advanced SQL, Python (Pandas, NumPy, Scikit-learn), Data Wrangling, and Automated Pipeline Development.Predictive Analytics: Anomaly Detection, Failure Prediction, and Statistical Modeling (Hypothesis Testing, Bayesian Inference).Strategic Impact: Stakeholder Management, Cross-functional Collaboration, and translating Data Insights into Executive Strategy.Selected Impact Highlights:Industrial AI: Developed a Clash Detection ML model for Honda, improving accuracy by 30% and reducing validation lead times by 25%.E-commerce Intelligence: Engineered a Recommendation Engine using Collaborative & Content-based Filtering to enhance user engagement.Process Automation: Built Python-based automation suites that cut manual reporting overhead by 40%.The \"Hybrid\" Advantage: With a foundation in Mechanical Engineering and an MSc from the University of Hertfordshire (UK), I bring a \"Systems Engineering\" approach to Data Science. This allows me to excel in industries requiring high precision, such as Fintech, Logistics, Manufacturing, and Energy.I am currently based in Thailand (Onsite) and am actively seeking Senior Data Science / ML Engineer roles in the USA, UK, and EU. I am available for immediate relocation (30-day notice) and am looking for organizations that value high-impact, domain-aware AI.

Experience

1. Engineer

   KPIT

   Nov 2022 — Present · Bangkok City, TH

   Automated homologation reporting for 3+ vehicles using Python, completing data processing 3 days ahead of strict deadlines. Integrated deep learning models with cross-functional teams for predictive maintenance, boosting project efficiency by 40%. Improved design validation by developing ML algorithms for clash detection and anomaly prediction, boosting performance. Designed 10+ components in 3D Experience, applying data-driven modelling to reduce design time by 20% and enhance accuracy. Performed clash analysis using simulation tools, achieving 100% conflict resolution for seamless subsystem integration.

Education

• University of Hertfordshire

  Master of Science - MSc, Automotive Engineering

• Symbiosis Institute of Technology

  Bachelor of Technology - BTech, Mechanical Engineering

  2015 — 2019

• K. M. Agarwal Junior College of Science

  HSC, Science

  2013 — 2015

• Lourdes High School

  SSC

  2003 — 2013