Ismail Shah, Data Scientist/Consultant with expertise in Data modeling, Fraud Detection and Technical Writing

About

I am a Data Scientist with 3+ years of experience in Data modeling, Machine Learning, particularly in the Tax Administration space. I have worked with Federal Clients in the past; from solicitation work, proposal editing, ad-hoc client meetings, to audit remediation and internal controls efforts etc. My top 5 skills are: 1. Data Mining 2. Data Modeling 3. Data visualization and statistical analysis 4. Technical Writing ( RFPs, RFQs, blog articles for Business development) 5. Business Development (Feasibility study, market research, budgeting, forecasts)

Experience

Tradimpex Group

Feb 2023 – Present

Remote

Director, Business Development

Oversee business and strategy development in liaison with Directors from other departments Developed an integrated IT infrastructure to strengthen the connection of data across the internal departments With diligent market research, identified a market gap, brought the Commercial trucking division operational for the firm

ASR Analytics LLC

Sep 2019 – May 2020

Phoenix, AZ, USA

Analytical Consultant

● Developed a tax fraud mitigation solution for the Arizona Department of Revenue (ADOR) using data modeling on SQL ● Supported back-end development for ASR’s enterprise tax analytics platform using JavaScript for ETL ● Developed fraud models that identified nearly $20m worth of tax fraud in Arizona for Tax year 2019

Deloitte

May 2019 – Dec 2019

Arlington, VA, USA

Advisory Consultant - GPS

- Presented the client team with a concrete solution by documenting the Audit findings and establishing necessary internal control measures - Supported the development of a fraud mitigation roadmap for the client's concern regarding misuse of unemployment benefits program

NATIONAL INDUSTRIES FOR THE BLIND

Nov 2018 – May 2019

Phoenix, AZ, USA

Business Analyst Consultant – Pricing

● Automated NIB’s conventional pricing methodology using Azure machine learning studio. Performed web scraping to obtain competitor data. Developed an algorithm using Python to predict the fair market price of commodity products ● Integrated the data using SQL Join queries and developed a Tableau dashboard to display real-time prices ● Predicted a 5% increase in the volume of commodity products that significantly boosted client satisfaction

Education

Arizona State University - W.P Carey School of Business

Aug 2018 – May 2019

Masters of Science, Business Analytics

Lahore School of Economics

Sep 2014 – May 2018

Bachelors of Science, Economics and Finance

Ismail Shah

Data Scientist/Consultant with expertise in Data modeling, Fraud Detection and Technical Writing

Skills

Languages