About Me

Strategic data scientist with 20+ years of cross-functional experience in internal audit, FP&A, and risk management. Certified Internal Auditor (CIA) and Certified Fraud Examiner (CFE), completed a Master of Information and Data Science at UC Berkeley. Specialize in translating business questions into data-driven solutions using Python, SQL, ML, and cloud platforms. Proven ability to uncover insights, streamline operations, and support executive decision-making through advanced analytics and automation.

Projects

Quantbot

Infrastructure and Backend/GenAI Developer | UC Berkeley | Jul 2025

A cloud-based chat agent designed to help retail investors build personalized portfolios and understand key investment principles based on their risk tolerance, budget, and preferences. Built using Python (backend) and React (frontend), the system leverages Google's ADK for a multi-agent architecture and Neo4j for memory and knowledge graph management. Deployed entirely on AWS, including PostgreSQL for data storage and Route 53 for domain routing, the platform offers an intelligent, scalable interface that combines financial expertise with conversational AI. Website | Documentation

Flight Delay Predictions

Data Scientist | UC Berkeley | Apr. 2025

A Databricks-based machine learning project aimed at predicting U.S. domestic flight delays by analyzing millions of flight records. Using PySpark and MLlib, we applied distributed data processing and classification models at scale. Feature engineering and model training were executed using MapReduce-style operations to identify delay patterns influenced by weather, airline, and airport congestion factors. The project demonstrates how cloud-native platforms and big data tools can enable scalable, real-time predictive analytics. Website | Final Presentation

Fraud Visualization

SME & Visualization Practitioner | UC Berkeley | Dec. 2024

A website that explores alternative ways of representing the number of reported fraud cases using Altair. By analyzing the correlation between reported fraud cases and indicators such as corruption perception scores, GDP per capita, and average years of education, we aim to provide a more comprehensive view of the factors that influence fraud reporting and detection. Website Link

Experience

Nisum Technologies Inc. | Brea, CA

Data Scientist | Mar. 2025 – Present

Build data science solutions for clients using LLMs, RAG, NLP, and GenAI, deployed in cloud-native environments
Applied statistical modeling and machine learning to extract actionable insights, improving strategic outcomes
Collaborated across engineering and product teams to implement scalable analytics pipelines

FP&A Manager | Nov. 2018 – Feb. 2025

Automated budget variance analysis and forecasting models using Python and advanced analytics, cutting reporting time by 25%
Conducted root-cause analyses on revenue and utilization trends using statistical methods, enabling more accurate planning
Built executive dashboards using Power BI and advanced data visualization techniques
Played a crucial role in strategic planning by quantifying company goals through data-driven analysis
Delivered actionable financial reports using advanced data analysis and visualization tools

Sr. Financial Analyst | Nov. 2018 – Apr. 2021

Conducted comprehensive financial forecasts using predictive modeling techniques, improving budget accuracy
Optimized management reporting through data pipeline automation, leading to 25% reduction in closing time
Built executive dashboards using Power BI and Excel with advanced analytics to track performance by business unit

Magnell Associate, Inc. (dba Newegg.com) | City of Industry, CA

Internal Auditor | Sep. 2016 – Nov. 2018

Designed a Python-based system for continuous monitoring of the procurement-to-payment cycle
Used ML clustering algorithms to detect anomalies and potential fraud, reducing false positives in investigations
Performed extensive data analysis using VBA, ACL Script, and Python for audit procedures
Conducted internal fraud investigations using advanced data mining techniques

Foulath Holding B.S.C - Steel Manufacturing Industry | Bahrain

Senior Audit Officer | Jan. 2015 – June 2016

Planned and executed audits using data analytics and statistical sampling methods
Developed automated audit working paper systems and cross-referencing filing systems
Developed and monitored control deficiencies using data-driven risk assessment models

Al Osais Holding - Real Estate Developing & Construction Group | Dammam, SA

Internal Auditor | Dec. 2012 – Dec 2014

Applied data analysis techniques for financial, operational, and compliance audits
Utilized statistical methods for risk assessment and fraud detection

Mohamed Bakr

Data Scientist