Master of Management Analytics (MMA) at Smith school of business- Queens University.
Skilled in predictive modeling, regression Analysis, R and Python machine learning packages, Machine Learning algorithms, Natural language processing, Amazon EC2, Azure Databricks, IBM Watson studio, IBM Machine learning essentials, tableau, Machine learning using SAS Viya, Operations and Supply chain Analytics. Project management, Analytical decision making, descriptive Statistics
Experienced Functional Consultant for Asian paint project Sales.
Technical Consultant/functional Analyst with a demonstrated history of working in the Supply Chain management industry. Skilled in i2 Transportation Management System(TMS), Freight Order Management (FOM), Case Mechanics, Oracle database 12c, Salesforce (CRM), Office 365, Oracle Toad. Strong Data Analytic and information technology professional.
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Experience
Technical Consultant July 2016 – Nov 2018
Analyzing project sales data, data cleaning and build models, predict sales.
• Familiarity with analytic tools; R and Python analytical packages – Java Script, SQL
• Complex problem-solving, deductive reasoning, and reporting skills. Building dashboards and data visualizations
• Design front-end page (m-power) for Project sales. Debugging front end issues raised by customer
• Data modeling, parameter tweaking and deploying Machine Learning models to develop optimized transportation solutions and predictive analysis
• Integration with Google maps API for accurate route and time predictions.
• Analyzed customer database and debugging for data Corruption – Oracle 12c, SQL
• Managed relationship with 30+ NA clients. Coordinated among US team for 24/7 support.
• Collaborated and responding to ad-hoc requests from the product teams
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Projects
• Big Data - Text mining and Natural Language Processes (NLP) with Amazon Review Data (Enterprise data)
• Hackathon – Coca-Cola, Prediction of weather impact on sales and shipments – Microsoft Azure Databricks
• Kaggle Competition – Housing price: Advanced Regression Techniques, Top 31%
• Financial Analytics – Investment planning (Design of Portfolios)
• ML & AI – Oxford properties, Yorkdale – Customer journey analysis – Amazon Web Services (AWS - EC2 instance)