نبذة عني
BCA graduate with hands-on experience in SQL, Python, Power BI, and Excel, specializing in transforming large datasets (60k+ rows) into actionable business insights. Skilled in data cleaning, exploratory data analysis, v…
BCA graduate with hands-on experience in SQL, Python, Power BI, and Excel, specializing in transforming large datasets (60k+ rows) into actionable business insights. Skilled in data cleaning, exploratory data analysis, visualization, and dashboard creation to support decision-making. Experienced in Root Cause Analysis (RCA), anomaly detection, and reporting for stakeholders. Eager to contribute analytical skills and learn advanced techniques in data-driven aerospace applications.
الخبرة
Data Analyst
Analyzed 60k+ EV charging records; identified high-ROI zones across 5k+ U.S. cities.
Developed “Stress Score” algorithm; built interactive Power BI dashboards saving 10+ hrs/week.
Conducted Python EDA to identify high-risk churn segments; integrated DAX-driven dashboards.
Revealed 55% churn in key segments; guided targeted retention strategies.
Scripted 10+ advanced SQL queries (RANK, LAG, window functions) for insights on customers, stores, and categories.
Segmented customers into Gold, Silver, Bronze; detected anomalies across 8 business questions.
Built dashboards combining sales and 2024 U.S. population data; created “Sales Per Capita” metrics.
Automated ETL via Power Query; streamlined reporting and analysis for decision-making.
Data Analyst
Completed multiple hands-on analytics projects using Python, SQL, Power BI, and Excel.Built dashboards, performed data cleaning, and derived actionable business insights from 60k+ records.Developed algorithms like “Stress Score” for EV Infrastructure investment analysis.
المشاريع
EV Infrastructure Stress Analysis
Analyzed 60k+ EV charging records to identify high-ROI investment zones across 5k+ U.S. cities. Developed a “Stress Score” algorithm and built an interactive Power BI dashboard, automating reporting and saving 10+ hours/week.
Telco Customer Churn Analysis
Conducted Python EDA to identify high-risk churn segments; integrated DAX-driven dashboards. Revealed 55% churn in key segments; guided targeted retention strategies.
Business-Analysis-Pagila-SQL
Scripted 10+ advanced SQL queries (RANK, LAG, window functions) for insights on customers, stores, and categories. Segmented customers into Gold, Silver, Bronze; detected anomalies across 8 business questions.
Adidas USA Sales Analysis Project (2020-2021)
Built dashboards combining sales and 2024 U.S. population data; created “Sales Per Capita” metrics. Automated ETL via Power Query; streamlined reporting and analysis for decision-making.