نبذة عني
DataScience postgraduate skilled in Python, SQL, Excel, Power BI, and Tableau, with internship experience in analytical problem-solving, automation, and exploratory data work. Good at interpreting raw data into clear fin…
DataScience postgraduate skilled in Python, SQL, Excel, Power BI, and Tableau, with internship experience in analytical problem-solving, automation, and exploratory data work. Good at interpreting raw data into clear findings and supporting data-driven decisions within business teams
الخبرة
<p>Cleaned and analyzed VRSG machine-operation data using Python to reveal module-usage trends and support operational planning.<br>
Conducted shift-wise EDA with Seaborn boxplots to detect workload imbalance across Shifts A, B, and C, informing scheduling recommendations.<br>
Built time-gap heatmaps and feed-rate analyses with Matplotlib to flag high-idle machines and prioritize maintenance actions.</p>
<p>Developed Power BI dashboards with advanced KPIs and What-If analyses for banking and retail datasets, automating routine reports.<br>
Automated SQL workflows and integrated Python Dash with SQL Server to streamline data refreshes and reduce report latency.<br>
Documented end-to-end AI pipelines (preprocessing, feature engineering, SHAP explainability), improving model reproducibility and data quality.</p>
المشاريع
Customer Churn Analysis (Credit Card) — SQL, Python, Tableau
<p>Performed churn analysis identifying a 16% churn rate and uncovering low-engagement customer segments causing attrition. •Highlighted high-risk demographic groups and built a Tableau dashboard that enabled targeted retention and marketing actions.</p>
AdventureWorks Manufacturing Analysis — SQL Server, Python, Power BI
<p>•Analyzed multi-year manufacturing and inventory data, uncovering long lead times and large stock accumulation impacting throughput. •Built DAX-driven Power BI dashboards that exposed key bottlenecks, improving oversight of production efficiency and on-time completion rates.</p>
VendorSales Summary — SQL, Python, Power BI
<p>Consolidated sales and purchase data to identify that top vendors drove 65% of total procurement, revealing dependency risk and guiding diversification strategies. •Flagged significant slow-moving inventory value and built a Power BI dashboard to improve procurement visibility and decision-making.</p>