Abdulkarim Alfallaj
Data Scientist
Riyadh-Dhahran
Summary
A data scientist in nature that loves stories of any form, - from people, books and especially from data itself. Working in this field allows me to discover the beauty that comes from data and drawing insights to support the decision making process. With advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in risk modeling, forecasting, and optimization.
Overview
4
4
years of professional experience
6
6
years of post-secondary education
Work History
Data Scientist
Aramco
01.2022 - Current
- Develop machine learning models and optimization algorithms to forecast demand with high accuracy, optimize inventory levels, and maximize margins.
- Conduct exploratory data analysis to identify trends, patterns, and insights on product and sectorial level that inform business decisions.
- Use statistical methods and machine learning techniques to identify key drivers of demand and product performance, such as Hijri calender events, school calender, and weather forecast.
- Communicate findings and recommendations to both technical and non-technical stakeholders, including executives, product managers, and operations teams
- Continuously monitor and improve the accuracy and effectiveness of forecasting models and algorithms
- Contribute to the company's operational excellence self-assessment for the innovation, technology, and continuous improvement processes.
- Develop demand seasonality calender to be printed and shared with executives. this include products seasonality and their impact on the demand for the calender year.
- Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging data to drive business insights and solutions
Actuarial Analyst
Tawuniya’s
01.2019 - 01.2022
- Evaluated adequacy and competitiveness of current pricing models for personal insurance products.
- Provided statistical analysis of how proposals would impact profitability and competitiveness.
- Collected, analyzed and reviewed required reporting forms and corresponded with internal sources on compliance and legislation.
- Managing and monitoring multiple lines of business (Motor, Health, P&C) performance and assuring optimal profitability and growth.
- Applying new pricing techniques such as demand modeling and GLM (Generalized linear models) to motor segment to enhance top line (Gross Written Premium) and bottom line (Profitability) by studying consumer behavior and risk classification.
- Leading multiple company level projects with Aon consultants to optimze the reinsurance structure of the company and assuring optimal results of the retained risks.
- Achieving the highest performance rating (company-wide) during the full period (2020-2022)
- Applying advanced analytics to the retail portfolio using General Linear Models (GLM).
- Applying and implementing advanced fraud analysis to the medical claims.
Vice President
KFUPM
01.2019 - 01.2020
- Host and arrange the first visit of the Society of Actuaries (SOA) organization to Saudi Arabia. (The event was recorded and uploaded on the club’s YouTube channel)
- Host global companies visits (such as Chubb Europe) to enhance collaboration between the market and university (students and faculty members)
- Arrange more than 8 events and discussions with industry leaders in the actuarial field. (All events was recorded and uploaded on the club’s YouTube channel)
KFUPM
01.2017
- Vice president of the actuarial science club
- Lecturer and grader for several statistics courses in two years: Statistical Inference, Probability Theory, Stochastic, Regression, and Time Series courses.
Education
Bachelor of Science - Actuarial Science & Financial Mathematics
King Fahd University of Petroleum And Minerals (KFUPM)
Saudi Arabia 08.2015 - 05.2020
Professional Certificate Program - Data Science
Harvard University
07.2022 - 06.2023
Professional Certificate - Machine Learning
Stanford University
01.2023 - Current
Professional Certificate - Machine Learning
Cornell University
02.2023 - Current
Skills
Data Analyticsundefined
Accomplishments
- Digital Transformation Coordinator for Downstream Projects @ Saudi Aramco.
- Concurrent Panel Discussion Acceptance at the 44th IAEE Conference with a paper titled: Minimizing Oil Revenue Volatility.
- Highest performance rating in two consecutive years @ Tawuniya (2020, 2021)
- Participation in two COVID-19 research competitions. (KAIMRC, Saudi Data Community)
- Mawhiba Program Student in Primary School.
References
- Tarek Alameh, Chief Actuary @ Tawuniya, TAlameh@tawuniya.com.sa
- Fai Aldossary, Manager - Product Planning & Demand Forecast, Fai.Aldossary@aramco.com
Timeline
Professional Certificate - Machine Learning
Cornell University
02.2023 - Current
Professional Certificate - Machine Learning
Stanford University
01.2023 - Current
Professional Certificate Program - Data Science
Harvard University
07.2022 - 06.2023
Data Scientist
Aramco
01.2022 - Current
Actuarial Analyst
Tawuniya’s
01.2019 - 01.2022
Vice President
KFUPM
01.2019 - 01.2020
KFUPM
01.2017
Bachelor of Science - Actuarial Science & Financial Mathematics
King Fahd University of Petroleum And Minerals (KFUPM)
08.2015 - 05.2020
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