Lead Data Scientist & Partner Resume

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:

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.
Webmaster of the LBN (www.lbn.com.lb) website System architecture: ASP.Net C#, Crystal Reports, Java Script, SQL Server
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

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