Summary
Overview
Work History
Education
Skills
Certification
Timeline
HONOR AWARDS
CONFERENCES & COURSES
Generic
Abhijeet Patil

Abhijeet Patil

Deputy General Manager Data Scientist
Pune

Summary

Deputy General Manager Data Scientist leading enterprise AI strategy, Generative AI, and predictive modeling across manufacturing, supply chain, and analytics transformation. Builds scalable AWS and Databricks solutions that automate document intelligence, BI reporting, and forecasting workflows, including AI Digital Twins and computer vision systems. Recruits and coaches 11+ data science team members, then translates model results into executive decisions and measurable operational savings. Customer-oriented General Manager with 20+ years of experience focused on increasing revenues and expanding margin. Adaptive and deadline-oriented consistently executes and completes multiple projects in high-stress environments. Meticulous leader and strategic planner with comprehensive managerial acumen, offering vision and motivational acumen. Dynamic individual with hands-on experience in Machine Learning and AI and talent for navigating challenges. Brings strong problem-solving skills and proactive approach to new tasks. Known for adaptability, creativity, and results-oriented mindset. Committed to making meaningful contributions and advancing organizational goals.

Overview

3
3
Languages
5
5
Certifications
21
21
years of professional experience

Work History

Deputy General Manager Data Scientist

John Deere India Pvt.Ltd.
05.2012 - Current
  • Leadership responsibilities
  • Strategic AI Roadmap: Formulate and execute the end-to-end AI strategy and product roadmap, aligning model lifecycles with core business objectives to drive enterprise growth.
  • Data Governance & Pipelines: Establish robust data governance frameworks and high-throughput data product pipelines to ensure data integrity and scalable asset monetization
  • Team Leadership & Scale: Recruited, coached, and upskilled a high-performing team of data scientists, fostering a culture of technical excellence and continuous innovation.
  • Stakeholder Synthesis: Translate complex model architecture and strategic AI initiatives into clear, actionable business insights for non-technical stakeholders and executive leadership.
  • OCR Pipeline & Document Intelligence
  • Engineered an enterprise-grade AWS Textract pipeline to automate attribute extraction from 2D technical drawings into an Enterprise Data Lake (EDL), unlocking net-new downstream analytical capabilities.
  • Selected by executive leadership to present this pioneering visual-data solution at the 2023 National Analytics Conference, USA.
  • AI Agentic Workflows
  • Architected autonomous LLM AI agents to automate multi-step, complex Business Intelligence (BI) reporting tasks, entirely eliminating manual data compilation workflows and delivering real-time analytical insights.
  • Computer Vision & Industrial IoT
  • Deployed a production-grade Tensor Flow / Keras CNN model achieving 99.99% accuracy for real-time manufacturing part identification.
  • Generated $7,000 in annual savings per station while reducing operational workload by 0.5 FTE through automated defect and part detection.
  • Predictive Supply Chain & Forecasting
  • Built an end-to-end regression ML pipeline within Data bricks that increased service parts demand forecasting accuracy by 30%, optimizing inventory fill rates to capture an estimated $16M in savings.
  • Developed and integrated a Random Forest Classification model within SAP to dynamically predict component categories, accelerating auto-procurement workflows by 20%.
  • Utilized hybrid ARIMA and Holt-Winters architectures to forecast APAC agricultural equipment demand, effectively translating macroeconomic indicators into actionable financial plans for regional executives.
  • Mentored junior managers, fostering leadership skills and promoting professional development within the organization.
  • Collaborated with department heads to establish goals and work plans.
  • Developed strategic initiatives to improve customer satisfaction and operational efficiency.

Associate Business Analyst

Target corporation India Pvt.Ltd.
11.2009 - 07.2012
  • Supply Chain Forecasting & Analytics: Engineered SAS regression and Holt-Winters time-series models across 26 distribution centres to optimize resource allocation, predict vendor quality, and isolate line-item cost metrics.
  • Operational Impact: Accelerated high-volume inventory flow and achieved an exceptional 2%–4% MAPE in productivity forecasting, directly driving long-term staffing, capacity planning, and supply chain quality control.

Data Analyst

Cross-Tab Marketing Service Pvt. Ltd
03.2008 - 10.2009
  • Market Research & Sentiment Analytics: Partnered with Microsoft to analyse global consumer feedback across five product segments, applying SPSS Factor and Cluster analysis to model NPS and customer satisfaction drivers.
  • Credit Risk Modelling: Engineered a credit risk assessment model for Western Union Bank using SPSS and Wincross supervised regression to enhance portfolio risk management.
  • Conducted predictive modeling to forecast customer behavior and optimize campaigns.
  • Improved data visualization techniques, making insights more accessible to non-technical stakeholders.

Statistical Analyst

Delixus Software India Pvt. Ltd.
01.2006 - 11.2007
  • Telecom Research & Team Leadership: Led the production team in partnership with Telephia
  • Led initiatives to streamline reporting processes, reducing turnaround time for analytical deliverables significantly.
  • Presented findings and recommendations to stakeholders, facilitating informed decision-making across various departments.

Education

Post Graduate Diploma - Business Management

NMIMS
Mumbai
05-2019

MASTER OF SCIENCE - Statistics

Shivaji University
Kolhapur
03-2005

Skills

  • Python
  • SQL
  • Machine learning
  • Tableau
  • Power BI
  • Databricks
  • AWS
  • Prompt engineering
  • MLOps
  • Model deployment

Certification

DataRobot Essentials Certification (11/2019)

Timeline

Deputy General Manager Data Scientist

John Deere India Pvt.Ltd.
05.2012 - Current

Associate Business Analyst

Target corporation India Pvt.Ltd.
11.2009 - 07.2012

Data Analyst

Cross-Tab Marketing Service Pvt. Ltd
03.2008 - 10.2009

Statistical Analyst

Delixus Software India Pvt. Ltd.
01.2006 - 11.2007

MASTER OF SCIENCE - Statistics

Shivaji University

Post Graduate Diploma - Business Management

NMIMS

HONOR AWARDS

Global Technology Innovation Network Award (09/2019 - Present), John Deere, Lead activities, Crowd sourcing hackathon BI&A Globally - 3rd Prize (05/2019 - Present), John Deere, Crowd sourcing hackathon Globally - 2nd Prize (03/2019 - Present), John Deere, Missing Part ML Model, Crowd sourcing hackathon Globally - 1st Prize (08/2018 - Present), John Deere, Ensemble Models for parts prediction, Crowd sourcing hackathon - TCI 1st Prize (02/2018 - Present), John Deere, Market Share ML model, Director Award (06/2011 - Present), Target, RR ML model, EPDM AI Hackathon 2024 (10/2024 - Present), John Deere, Anomaly Detection, Commendable Contribution Award (04/2014 - Present), John Deere, OFP Forecast Models, Quarterly Q4 Best Result award (09/2010), Target, Quarterly partner award (01/2010), Target

CONFERENCES & COURSES

  • Gartner Data & Analytics Summit (06/2019 - 06/2019)
  • Mumbai
  • Gartner Data & Analytics Summit (05/2023 - 05/2023)
  • Gartner Data & Analytics Summit (04/2024 - 04/2024)
Abhijeet PatilDeputy General Manager Data Scientist