SUMMARY:

Accomplished and results - driven professional computer engineer with over 15+ years of experience. I possess a proven track record of driving successful returns and building software strategies across different industries. Thrive in new unexplored software ventures with a passion for data science and machine learning applications.

SKILL:

• Data Science
• Object Oriented Programming
• Machine Learning
• Business Intelligence
• Data gathering & Cleansing
• Data: Driven Sales
• Critical Thinking
• SQL & NoSQL
• Internet of Things
• Presentation skills
• Business Process Modelling
• Database building
• APIs
• Building Apps
• Project Management
• Team Management
• Strong organization skills
• Enterprise Architecture

SOFTWARE & PROGRAMMING LANGUAGES:

C# | Python| JAVA | Visual Basic |UML|XML| HTML | Anaconda |SQL |Azure | AWS |GCP |ASP,Net | ML Libraries (scikit learn, TensorFlow, statsmodels) |Google Cloud|Deep learning |Salesforce |Tableau| Microsoft Word | Excel | Powerpoint | noSQL |Oracle | SAP | Autocad | IoT |ULTIMUS BPM |Telelogic System architect|Javascript |Joomla |CSS |Quickbooks |Social Media Analytic Tools: Facebook, Instagram, Twitter, YouTube

EXPERIENCE:

Lead Data Scientist & Partner

Confidential

Responsibilities:

• Establish strategies by considering long-term company goals and objectives
• Used Machine learning techniques (Linear Regression using Python, Scikit learn & SQL) to:
• Predict used car wholesale prices through auctions or dealers
• Predict when vehicle will need service or registration renewal and pre-plan allocation of replacement vehicle
• Predict distribution/logistics of the fleet based on seasonal variables
• Predict overall profit from each vehicle after its’ lifecycle ends
• Identify new sales areas for the company, which eventually secured 40% of the company’s returning customer sales
• Lead the analysis of results to ensure models align with the business requirements and display results on Tableau to key stakeholders
• Mentor and manage team of analysts and all predictive modeling projects.
• Reduced the cost of sale (COS) by 35.6% resulting in more profit for the company developed a custom car rental booking and tracking website (ASP.NET) along with an online customer relationship management (CRM) module with live chat developed custom C# API to integrate GPS tracker data with google maps
• Developed a web-app for mobile vehicle inspections which generated PDF reports

Senior Data Scientist/Trader

Confidential

Responsibilities:

• Develop an analytics platform to identify buying opportunities and relative market price points
• Use regression methods to predict approximate metric ton sales of different products, on which we based our long positions
• Detected outlier trades for niche products, and turned those one-off “small volume,high margin” trades into a trade segment of steel products which produced higher revenues
• Predicted that the Middle Eastern market will be self-sufficient by 2017 by providing production statistics of each steel product as data to the classification algorithm, and started developing export strategies out of the Middle East into the far east and countries that have Chinese anti-dumping rules imposed on steel.
• Analyzed Confidential ’s stock inventory for shelf time & space consumption, optimizing the use of space in the yard.
• Visited Confidential mills to extract metallurgical steel making details that do not filter through to the stock yard, Such as the exact metallurgical content of each heat number. Then used that information to target customers with specific needs like boron free steel or chromium/vanadium alloy steel.
• Established relationships with local middle eastern steel mills and evolved the trading department from an import only department to import/export department

Data Scientist/ Trade Analyst

Confidential

Responsibilities:

• Develop an analytics platform to identify buying opportunities and what steel products to purchase
• Revolutionize the steel trading industry by taking a proactive approach as opposed to waiting for customers to send their RFQ’s passive approach
• Using Data mining techniques to identify purchase patterns of customers, classify customers based on their product purchase types, and use it to predict future needs of the customers
• Execute long trades (taking positions) based on analytical insights derived from data at hand
• Ensure purchase & sales contracts are water tight and back to back
• Revised Letters of Credits (LC’s) and ensured their alignment with the contract
• S u per visi o n of L o gi s ti cs, pre-shipment inspections an d S hi pm e nt o f each c on t ract
• Risk Management & proficiency in Incoterms by identifying when Risk/liability transfers over from one party to another

Software Architect/Consultant

Confidential

Responsibilities:

• Building a Business Intelligence Module (as part of the final year project. )System architecture: OLAP technology and Data Mining Techniques to extract critical data from Masterpak Data Warehouses using SQL server 2005 (Beta)
• Continuing phase 2 of the Lead Generation Export Unit, which is a web system to keep track of Leads and RFQs for Indevco products, as a part of the marketing strategy.
• Migrating the “Lead Generation Export Unit” infrastructure from JSP to ASP.NET ( ) System architecture: ASP.NET, Crystal Report, JavaScript
• Developing the Lead Generation Export Unit web application ( ) System architecture: JSP, JavaScript & SQL Server
• Developing the Tissue Mill Integrated Management System & Implementing a Human Resource Management application ( ) System architecture: VB6, Crystal Reports & SQL Server