Madhu Babu Cherukuri

AI Researcher

Bengaluru, Karnataka, India20 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 17 years of experience in machine learning and optimization.
  • Led impactful projects yielding multi-million-dollar savings.
  • Mentored over 500 employees in data science.
Stackforce AI infers this person is a Data Science and Machine Learning expert with extensive experience in Supply Chain and Analytics.

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Skills

Core Skills

Machine LearningData ScienceStatistical ModelingData AnalysisDemand Planning

Other Skills

JiraTeamworkData AnalyticsPredictive ModelingSQLGitMarket ResearchSAS (Software)Pandas (Software)RetailRetail BankingResearch and Development (R&D)Project ManagementMicrosoft OfficeLean Six Sigma

About

- 17 Years’ experience in building different kind of machine learning and optimization-based decision support systems for complex business from various domains (Retail, Manufacturing & semiconductors industry, Pharma and Banking) - Adept in identifying business problems and solving them using mathematical or data mining techniques and proven experience in delivering high-quality results yielding multi-million-dollar impact - Motivating and mentoring a team of data scientists across Geos and groups to grow their skills and careers as per the project requirements - Key strength of enabling idea to impact journey by establishing business clarity, stakeholder alignment, ml model solution architecture design and deployment. - In-depth knowledge of Statistics, Machine learning, Deep Learning and Text mining techniques for providing robust enterprise solutions involving large datasets - Extensive Knowledge on open-source languages like Python and R, ML platforms like Azure ML and Google cloud and Kubeflow. Also have in depth knowledge on SAS programming - As an Intel Instructor, conducted various levels of Data Science training classes with practical examples and developed course content from Basic to Advanced Algorithms also mentored more than 500 employees across globe - Freelancer Data Science Trainer, Project Mentor and Evaluator in multiple ed-tech organization and thought Data Science topics from Basic statistics to Deep learning algorithms (Text and CV)

Experience

20 yrs 10 mos
Total Experience
5 yrs 2 mos
Average Tenure
12 yrs 10 mos
Current Experience

Intel corporation

Lead Data Scientist

Aug 2013Present · 12 yrs 10 mos

  • Lead AI Applied Research Scientist, responsible for translating business problems to analytical problems and solve them using machine learning algorithms. Currently leading various analytical projects with different business domains from Intel. Below are few high dollar impact projects implemented.
  •  Developed and Implemented Server failure prediction models based on System event logs and Hardware telemetry data for top Three failure reasons
  •  Developed the Prediction models to identify the excess inventory, shortages, and Health of the inventory at sku and family level which resulted in $XX Millions savings
  •  Streamlined supply chain transformation right from Demand planning, Segmentation of parts, and Inventory target settings for Data Centers Business
  •  Designed predictive model to predict Validation health and timelines of upcoming products based on historical bugs and Regression coverage
  •  Invented and implemented the stringent fraud detection model for Intel logistics & transportation business
  •  Inventory optimization models for ATM and FAB using advanced algorithms like stochastic inventory, Bootstrap, and poison models- With new inventory optimization model business realized 50% zerobin reduction and prevented lot of excess inventory
  •  Invented the model to predict obsolete inventory using advanced predictive models, saving $XX Millions
  •  Sales Pipeline Opportunity forecasting Model to score the likelihood of wins & estimate the revenue for each opportunity
  •  Network Failure prediction through Big Data Environment
  •  Platform Issues pattern mining through segmentation and guided Design and validation teams to prevent them future
  •  Supply Chain Risk Monitoring - Monitor real time news related to logistic supplier for sensing external ecosystem & tapping external data sources, to mitigate & manage risk around supply chain
  •  Established the process to link the duplicate customers for various analytics using semi supervised learning approach
JiraTeamworkMachine LearningData Science

Genpact llc

Assistant Manger

May 2007Jul 2013 · 6 yrs 2 mos

  • Subject Mater Expert for various kinds of Statistical Modeling techniques like - Time series forecasting, Pricing, and Attrition Models.
  • Major Projects under taken from Genpact
  • 1. Inventory Optimization
  • 2. Residual value Model
  • 3. Churn or Attrition Modeling
  • 4. Demand Forecasting
  • 5. Price Elasticity and Cross Elasticity Projects
  • 6. Used Vehicle Modeling
  • 7. Automated Sales reports and Dash boards using SAS Macros
  • 8. Providing extensive support for the team using SAS codes to simplify data analysis tasks
  • 9. Sales Prioritization Model
  • Got the Best project Award for Inventory Optimization project from Genpact Analytics
TeamworkPredictive ModelingStatistical ModelingData Analysis

Wipro technologies

Demand Planner

Jun 2006Apr 2007 · 10 mos

  • Build the exploratory time series forecasting models by product for major us based supply Chain Company and Fine-tuning to the demand forecast subject to the promotions
TeamworkPredictive ModelingDemand Planning

March marketing consultancy & research

Data Analyst

Jun 2005Jul 2006 · 1 yr 1 mo

  • I have started my carrier from March Market Research, I worked as Data Analyst. During this period I handled various kinds of statistical projects like Demand Forecasting and perceptional mapping
Predictive ModelingData AnalyticsData Analysis

Education

Andhra University

Master of Science - MS — Statistics

Jun 2003May 2005

Andhra University

M.sc — Statistics

Jan 2003Jan 2005

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