About Me

I develop decision making tools using computational and machine learning techniques in the domain of production, manufacturing and supply chain.

My focus is on developing scalable production ready tools, using R, Python, VBA etc.,for real-time material flow optimisations, dynamic scheduling and optimum resource/asset allocations. Because of the scalable nature of the tools, they can be tailored to the exact work requirements. Thus, building a set of statistically sound metrics, which aid management and leadership in prudent decision making.

Work Experience

Manufacturing Engineering Intern | May ‘18 - Aug ‘18 | BRP Inc.

Key skills from this experience:

• Capacity planning and analysis
• Scenario planning and analysis
• Decision making tools development
• Discrete Event Simulation (Manufacturing Simulations)
• Material flow optimizations
• Cross-functional collaboration
• KPI Development
• Dashboarding

PLM Consultant | Aug ‘15 - Jun ‘17 | Tata Technologies

Key skills from this experience:

• Business process consulting
• Business process re-engineering
• Client Interaction
• Bill of materials management
• Change management
• Supplier development

Graduate Assistant | Jan ‘18 - Present | Purdue University

Key skills from this experience:

• Developing APIs for business process automation
• Website parsing
• Extraction, transfer and load

Continuous Improvement Intern | May ‘13 - July ‘13 | Tata Motors

Key skills from this experience:

• Kanban Implementation
• Learn the implementation of the following algorithms
  • Maynard Operation Sequence Technique (M.O.S.T)
  • Rank ordering clustering algorithm
  • Automated Layout Development Program (ALDEP)
  • Computerized Relationship Layout Planning (CORELAP)
  • Computerized Relative Allocation of Facilities Technique (CRAFT)
• 5S Methodology

Research experience and projects

Air Quality Prediction | Report

Key skills:

• Application of statistical learning techniques
  • Decision Trees
    • Random Forests
    • Multiple Adaptive Regression Tress
    • Bayesian Additive Regression Trees
• Predictive Analytics
• Large dataset processing (~30 million rows)

General skillset

• Python
• SAS
• R
• Predictive Analytics,
• Logistic Regression
• Ridge and Lasso Regression
• Model Diagnostics
• Design of Experiments
• Discrete Event Simulation
• Excel Dashboards
• Excel VBA
• MS Access
• MySQL