Description

Skilled professional in Data Warehousing, Business Intelligence, Data Analytics, and Statistical Analysis. Over 23 years of industry experience in analyzing business problems, and collecting, organizing, interpreting, and disseminating various types of statistical figures to solve those problems. Energetic presenter and confident communicator with the ability to circulate information in a way that is clear, efficient, and beneficial for end users. Creative in finding solutions to problems and determining modifications for optimal use of organizational data. Expert at providing realistic projections and establishing various scenarios to determine viable process strategies to utilize. Organized and timely in providing staff, departmental members, and executive management with reports on specific data findings and their impact on organizational growth and success. Detail-oriented, thorough, and vigilant to collect all necessary data without missing critical components. Highly educated in analytical fields with a PhD in Mathematics and publications in international reputed journals.

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Amazon
SENIOR BI ENGINEER/DATA SCIENTIST
October 2022 - Today (3 years and 8 months)
United Kingdom
Identify various business needs for analysis for Amazon Fresh Stores (AFSI)
●Develop analysis and reports for AFSI initiatives.
●Build data pipelines (using SQL and datanet) to feed reports and analysis.
●Perform analysis (Bayesian, Difference-In-Difference, and Visual) on the various A/B tests for marketing and promotions.
●Analyze pricing strategies and develop documentation on modeling for pricing.
●Using Tableau, Redshift, Datanet and R for analysis and modeling to create alerts when a promotion is not working as expected and doing basket analysis for identifying the most popular combinations for meal-deal.
●Developed and presented on how to use Bayesian analysis to identify the best strategies in experimental testing.
EcoAtm
SENIOR DATA ANALYTICS ANALYST/DATA SCIENTIST
May 2021 - Today (5 years and 1 month)
United Kingdom
Lead the company's BI division for the International operations.
●Use a combination of database technologies such a SQL server, Redshift, and SnowFlake to perform traditional data warehousing tasks such as building the data warehouse schema and writing ETL scripts.
●On the front-end I use Tableau to build visualization dashboards for reporting and analysis.
●I use R to build predictive models to help the business meet its targets such as finding the optimal locations for placing the kiosks and finding the best marketing and advertising messages (using A/B testing).
●Provide guidance to develop the business in the right direction with data-based intelligent insight.
●Some of the reports and visualization built using Tableau include techniques using Custom Groups, Aggregated Metrics, Sets, Dynamic Sets, Time-Series, Reference Lines, Multiple Data Sources, Special Formats, Deciles, Drill Through, Parameters, Window Functions, Scatter Plots & Graphs of Best-fit, Geographical Maps, Test of Significance, A/B Testing, etc.
●Developed and taught two courses in Tableau to the entire ecoATM International team.
Arrow Global
SENIOR STRATEGY ANALYST/DATA SCIENTIST
December 2015 - April 2021 (5 years and 4 months)
United Kingdom
Modeled the company's large database to extract intelligent information about their customers to design optimal debt collection strategies.
●Used SQL Server, SSIS, Power BI, SAS, R and some Python in this position to build predictive models and strategies for optimization of collections and performance.
●Some predictive models included: o Which customers are likely to stop payments. o What are the best telephone numbers to contact customers. o What is the likelihood of contacting a customer when a phone call is made. o How long will a customer continue to pay (survival analysis). o Which customers will be profitable during legal proceedings. o Pricing a portfolio (using Monte Carlo simulation).
●Analysis was usually presented to the wider audience using Power BI dashboards and visualization. Remote Part-Time Consulting Assignments: Pakistan