Open to opportunities

Ahmed Fakhr elden

@ahmedfakhrelden

Message

Data Analyst and Machine Learning Engineer delivering predictive models and interactive dashboards.

Egypt

Message

What I'm looking for

I’m looking for a role where I can build predictive models, clean and model data, and deliver clear Power BI dashboards—deploying ML apps with Flask/Streamlit while collaborating to solve real business problems.

I’m a Data Analyst & Machine Learning Engineer focused on solving business problems with data-driven solutions. I build predictive modeling workflows, clean and model data, and turn results into clear, interactive dashboards.

In my Data Analyst Intern role, I analyzed borrower features in a P2P lending dataset to improve risk prediction accuracy and reduce estimated default risk by 32%. I also built Power BI dashboards to visualize borrower risk patterns and financial behavior, applying data cleaning and feature engineering throughout.

As a Machine Learning Intern, I developed a used-car price prediction model with 89.7% accuracy and optimized hyperparameters to finalize a Random Forest approach. I built and deployed a Streamlit web app so users could interact with the predictions.

Beyond internships, I’ve delivered end-to-end projects like Loan Approval prediction (85% accuracy) deployed with Flask, plus Power BI analyses for Olympic Games (35k athletes, 230 countries) and TMDB film insights (10k records). I also bring an engineering mindset from working as a Mechanical Site Engineer, analyzing HVAC project data in Excel to improve operational efficiency and manage costs.

Experience

Work history, roles, and key accomplishments

Current

Mechanical Site Engineer

Current

WEMA Projects

Nov 2023 - Present (2 years 11 months)

Analyzed HVAC project data (equipment logs, installation timelines, and costs) using Excel to improve operational efficiency and reduce implementation costs. Collaborated with cross-functional teams to support project timelines and quality standards.

Excel Data Analysis Operational Efficiency Cross Functional Collaboration

Machine Learning Intern

TechnocHacks

May 2024 - Jul 2024 (2 months)

Developed a machine-learning model to predict used-car prices with 89.7% accuracy by testing algorithms and optimizing hyperparameters. Built and deployed a Streamlit web app to interact with the prediction model.

Machine Learning Random Forest Hyperparameter Tuning predictive modeling Streamlit

Data Analyst Intern

Technocollabs Software

Feb 2024 - May 2024 (3 months)

Analyzed financial and social borrower features in a P2P lending dataset to improve risk prediction accuracy and reduce estimated default risk by 32%. Built Power BI dashboards and applied data cleaning, feature engineering, and statistical analysis to enhance model performance.

Power BI Data Cleaning Feature Engineering Statistical Analysis predictive modeling