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Data Analyst with 4+ years in data analytics and business process optimization.
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Assessing your cultural and operational fit
Detail-oriented Business Economics graduate with a strong foundation in data analytics and business process optimization. Skilled in gathering business requirements, performing stakeholder analysis, and translating data into actionable strategic recommendations. Proven ability to bridge the gap between technical solutions and business goals.
Beni-Suef University – Faculty of Politics & Economics
Bachelor of Economics · Economics
N/A – June 30, 2025
Nexus Tech Support
Data Processor
April 1, 2026 – June 1, 2026
India
Oworkers Egypt
Data Processor
January 1, 2026 – February 1, 2026
India
Al-Madaen Real Estate Company
Real Estate Marketer
October 1, 2021 – May 1, 2025
India
Inventory & Vendor Analytics
June 1, 2026 – Present
Conducted full inventory analysis including Turnover, DSI, ROP, EOQ, and Gross Margin on real PwC case study data
E-commerce Data Analysis & Growth Strategy (Indonesia)
March 1, 2026 – March 1, 2026
Processed and analyzed a massive dataset of 14M+ rows (Customer behavior, transactions, and logistics). Impact: recommended a priority loyalty program, $40+ free shipping threshold to cut cart abandonment, addressed a 21% churn rate by implementing a customer feedback loop
Telecom Customer Churn Analysis
September 1, 2025 – September 1, 2025
Business Focus: Strategic Customer Retention & Revenue Protection. Description: Conducted a comprehensive exploratory data analysis (EDA) on a U.S. telecom dataset to pinpoint why 26% of customers were leaving, focusing on contract structures and pricing pain points. Impact: Delivered interactive Power BI dashboards that enabled the business to implement targeted retention strategies, directly aiming to reduce the 26% churn rate and protect recurring revenue.
Car Insurance Claim Predictor
September 1, 2025 – September 1, 2025
Built and evaluated 6 ML algorithms; Decision Tree achieved 85% accuracy. Deployed model as a Streamlit app for risk assessment and decision support.
Customer Behavior & Sales Probability Modeling
August 1, 2025 – August 1, 2025
Segmented e-commerce shoppers and built a binomial probability model. Found holiday promotions improved conversions: 27.3% new vs. 19.6% returning customers.
Marketing Campaign Analysis – UK Personal Loans
August 1, 2025 – August 1, 2025
Business Focus: ROI Optimization & Targeting Strategy. Description: Analyzed data from a £1.5B bank campaign, cleaning and processing 41K+ records to evaluate call script effectiveness and demographic trends. Impact: Provided actionable insights to enhance campaign ROI by identifying high-conversion customer segments, allowing for more efficient budget allocation and optimized targeting strategies.
Data Analyst Professional (DA)
DataCamp
January 1, 2026 – January 1, 2028
Data Analyst Associate (DAA)
DataCamp
October 1, 2025 – October 1, 2027
Data Scientist Associate (DSA)
DataCamp
September 1, 2025 – September 1, 2027
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce to telecom and finance, indicates adaptability and a broad interest in applying data analysis across different industries. Their academic background in Economics and minor in Statistics aligns well with a data-driven culture. The experience as a Real Estate Marketer, while not directly technical, shows initiative, sales cycle management, and stakeholder collaboration, which are valuable for understanding business context. The Data Processor roles, though entry-level, highlight a commitment to accuracy and process adherence. The candidate's involvement in extracurricular activities like Head of Media Committee and Head Volunteer suggests leadership potential and a proactive attitude, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and technical reporting skills. Their experience in stakeholder communication and team collaboration, particularly in project settings and a real estate marketing role, suggests a good operational fit for roles requiring cross-functional interaction. The 100% Quality Control (QC) rating in data processing roles indicates a detail-oriented and accurate approach to work. The English test score of 59/100 suggests there might be some room for improvement in communication clarity and professional language usage, which is crucial for a senior role. The psychometric test score of 288/500 indicates average performance in logical reasoning, work attitude, and stress handling.