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Business Intelligence Developer with less than a year in Python, SQL, and Power BI
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Assessing your cultural and operational fit
Data Analyst and BI Developer with hands-on experience in Python, SQL, Power BI, and Excel. Skilled in EDA, data wrangling, and building interactive dashboards with advanced DAX and Power Query. Experienced in data warehouse design, ETL with SSIS, workflow orchestration with Apache Airflow, Docker, and PySpark. Foundational knowledge of machine learning (scikit-learn). Transforms raw data into actionable business insights.
Menofia National University
B.Sc. · Computer Science
August 1, 2023 – June 30, 2027
ITI (Information Technology Institute)
Business Intelligence Developer Intern
August 1, 2025 – September 30, 2025
India
GitHub Trending Repositories Analytics Pipeline
June 17, 2026 – Present
Built an automated pipeline tracking 250+ GitHub repositories across 3 time windows, eliminating 100% of manual collection and reducing duplicates by 30%+. Designed a PostgreSQL data warehouse with 6+ analytical views (~40% faster queries) orchestrated via 3 Airflow DAGs; Docker cut environment setup to under 5 minutes. Delivered Power BI dashboards across 10+ programming languages, providing weekly actionable insights on repository popularity shifts.
KPMG Data Analysis and Customer Intelligence
June 17, 2026 – Present
Cleaned 4 real-world datasets (Address, Demographics, Transactions, New Customers) across 6 tasks - resolving duplicates, date inconsistencies, and anomalies for a fully analysis-ready dataset. Segmented customers by wealth, gender, and job industry; calculated CLV = (Avg Purchase Value x Purchase Frequency) x Customer Lifespan, segmented by wealth tier to prioritize retention. Delivered a 6-task project with an executive PDF report covering top 10 customers, 12-month transaction trends, and data-driven marketing and expansion recommendations.
HR Analytics Dashboard
June 17, 2026 – Present
Built an interactive Power BI dashboard monitoring 10+ KPIs across 1,400+ records, integrating 3+ source systems via Power Query - cutting data prep time by ~60%. Engineered 15+ DAX measures (attrition rate, hiring velocity, department scores); applied Figma UI principles to shift executive reporting from weekly to near real-time. Identified 22% attrition concentration in 2 departments, enabling targeted retention interventions across the organization.
View ProjectU.S. Nicotine (E-Cigarette) Consumption Trend Analysis 2020-2025
January 1, 2020 – January 1, 2025
Analyzed a dataset spanning 51 states, 10 brands, 7 flavor categories, and ~70 months; engineered year/month/quarter features for longitudinal trend analysis. Built an 8-section analytical pipeline delivering 8 quantified insights: +20.8% unit growth, revenue surpassing $3.4B by 2024, and avg. price rising from ~$9 to ~$14+. Produced Plotly dashboards (choropleth, stacked area, funnel, bubble) revealing disposable product surge (15%→68%), JUUL's collapse (~45% under 18%), and ~14% sales drop in flavor-ban states.
Data Engineering
DEPI
November 1, 2026 – Present
Advanced Data Analytics
NTI
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive learning approach and a diverse set of interests within data analysis and BI. The projects cover various domains (e-cigarette trends, GitHub repos, HR analytics, customer intelligence), indicating adaptability and a willingness to tackle different business problems. The internship at ITI further aligns with a professional, structured learning environment. However, the lack of professional experience beyond an internship and academic projects might require a team that can provide mentorship and integrate them into a corporate culture effectively.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as Analytical Thinking, Problem Solving, Communication, and Attention to Detail, which are crucial for a Business Intelligence Developer role. Their project descriptions indicate an ability to work independently on complex analytical tasks and deliver structured reports. The academic projects, while not professional experience, show initiative and a structured approach to problem-solving.