Muhammad Abubakr
DATA ANALYST | DATA SCIENTIST | CLOUD COMPUTING | FINANCIAL MARKET ANALYSIS AND PREDICTION
MASTER'S GRADUATE
MASTER'S GRADUATE
Data Analyst with a strong foundation in Identity & Access Management (IAM), Data Science, and Cybersecurity, combining technical depth with clear stakeholder communication. Experienced translating business requirements into secure, scalable, and compliant IAM solutions across identity governance, access management, and privileged access management. In parallel, build and productionize quantitative trading tools—spanning technical/fundamental crypto research, predictive modeling, and automated execution—to inform portfolio decisions. Skilled in Python, SQL, feature engineering, time-series forecasting, and risk controls; comfortable across cloud, networks, and forensics. Passionate about crypto/forex/equities and applying statistical and ML methods to market prediction and trade automation.
Context: Growing renewable integration makes forecasting volatile and non-linear.
Problem: Traditional models like ARIMA struggle with nonlinearities and outliers.
Goal: Improve forecasting using AI, particularly LSTM, for electricity price and demand.