Avinash Jade, Ph.D.

Director of Engineering

Bengaluru, Karnataka, India24 yrs 4 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 23 years of AI and ML experience.
  • Led a team of 50+ data scientists.
  • Ph.D. in Machine Learning with 30+ patents.
Stackforce AI infers this person is a seasoned leader in AI and Machine Learning for the retail industry.

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Skills

Core Skills

Machine LearningPredictive AnalyticsData Mining

Other Skills

AlgorithmsAnalyticsArtificial IntelligenceComputer VisionForecastingGen AIMatlabOperations ResearchOptimizationOptimizationsOraclePredictive ModelingProgrammingPythonR

About

Avinash is a seasoned AI leader with over 23 years of experience in applying Artificial Intelligence and Machine Learning across diverse domains, and 6+ years of success in building and leading high-performing data science teams. Currently leading a team of 50+ data scientists and ML engineers, he brings 16+ years of deep domain expertise in the retail and e-commerce space. His work spans supply chain optimization, forecasting, network modeling, replenishment, assortment planning, pricing & promotions, and merchandising. Avinash has a strong track record of developing industry-leading solutions using Computer Vision and Generative AI. He holds a Ph.D. in Machine Learning (2006), with a specialization in Support Vector Machines. His research contributions include five peer-reviewed international publications (~200 citations) and over 30 U.S. patents filed in the field of Machine Learning. He is a recognized speaker at major global forums—serving as a keynote panelist at AI Summit Seoul (2019 & 2023) and delivering invited talks at the International Conference on AI/ML Systems (2023), among others. A hands-on practitioner, Avinash is also a Kaggle Expert with one silver and two bronze medals, demonstrating a strong blend of research, leadership, and applied AI expertise. Specialties: Computer Vision, Gen AI, LLMs, Machine Learning, Deep learning, Time series forecasting, Natural language processing (NLP), Optimization, Operation Research, Mixed Integer Programming, Genetic Algorithms, Support Vector Machines, Gradient Boosting Machines, Causal ML, Reinforcement Learning

Experience

Walmart global tech india

4 roles

Director Data Science (Sam's Club, Walmart)

Promoted

May 2023Present · 2 yrs 10 mos

Principal Data Scientist - Sr Data Science Manager (Sam's Club, Walmart)

May 2020Apr 2023 · 2 yrs 11 mos

Principal Data scientist

Promoted

Nov 2017May 2020 · 2 yrs 6 mos

Staff Data Scientist

Feb 2016Oct 2017 · 1 yr 8 mos

Oracle

Senior Data Scientist

Aug 2008Feb 2016 · 7 yrs 6 mos

  • Applying Techniques from Machine Learning, Predictive Analytics/Data Mining, Optimization to Retail. Worked on variety of problems in Retail Domain like Supply chain Optimization, Markdown Optimization, Market Basket Analysis , Size Profile Optimization, Forecasting of Demand, Promotion Optimization and Drag Analysis, Optimized Localized Assortment using Data mining Techniques; Category Management, Lost Sales Estimation etc;
Machine LearningPredictive AnalyticsData MiningOptimization

Persistent systems

Team Lead (Predictive Analytics, Machine Learning)

Apr 2006Aug 2008 · 2 yrs 4 mos

  • Predictive analytics/ Data mining/ Text Mining for various domains like Retail , Finance , Insurance.
Predictive AnalyticsData MiningText Mining

National chemical laboratory

Senior Research Fellow

Oct 2002Apr 2006 · 3 yrs 6 mos

  • Worked for Doctoral work on applications of Support Vector Machines to Process Engineering Systems.Publications in International Journals
  • “Improved time series prediction with a new method for selection of model parameters”, Journal of Physics A: Mathematical and General 39 (2006) L483–L491
  • “Support Vector Machines: a Useful Tool for Process Engineering Applications”, Chemical Engineering Progress, 98(1) 2003, 57-62
  • “Feature Extraction and Denoising Using Kernel PCA”, Chemical Engineering Science 58, 2003, 4441-4448.
  • "A Hybrid Methodology For On-Line Process Monitoring," International Journal of Chemical Reactor Engineering, Vol. 2: A14.
  • “A Novel Local Singularity Distribution Based Method for Flow Regime Identification: Gas-Liquid Stirred Vessel With Rushton Turbine” Chemical Engineering Science , 61, 688-697.

Ncl pune

Research Assistant

Oct 2001Oct 2002 · 1 yr

  • Worked on Data Mining/Machine Learning algorithms to solve problems in Process Engineering like Process Fault detection and diagnosis. Algorithms worked on : Support Vector Machines, Principal Component Analysis, Partial Least Squares etc.

Education

Indian Institute of Technology, Roorkee

MTech — Chemical Engineering

Jan 1999Jan 2001

NCL Pune

PhD — Applications of Advanced Machine learning to Process Engineering

Jan 2002Jan 2006

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