With over two years of expertise, I'm a Data Analyst with industry-recognized certifications from Google, IBM, and Microsoft. I transform raw data into clear, actionable insights using tools like Excel, SQL, Tableau, R, and Power BI. With a unique blend of analytical expertise and healthcare domain knowledge, I excel at uncovering hidden trends, building compelling visualizations, and delivering recommendations that drive smarter business decisions. Thrives in fast-paced environments and eager to contribute to data-driven growth in forward-thinking teams.

Category	Tools & Technologies
Languages
Data Visualization
Databases
Analytics
Other Tools

🛠 Tools Used: Python, Microsoft Excel, Google Docs

🔹 Cleaned & transformed raw RetailX sales data (removing duplicates, handling missing values, fixing inconsistent formats) and prepared an analysis-ready dataset for accurate reporting.
🔹 Performed revenue & return analysis using Python (EDA, correlation, KPI tracking) to uncover top-performing regions, product categories, and payment-return patterns, driving data-backed business insights.
🔹 Designed impactful visualizations & strategic recommendations (SWOT-based) to highlight growth opportunities, reduce return rates, and guide decision-making for revenue optimization.

🛠 Tools Used: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn

🔹 Conducted an in-depth analysis of 32,000 loan records using statistical tests and data visualization to identify key default risk drivers and enhance understanding of financial vulnerabilities.
🔹 Designed and developed a predictive pipeline with feature engineering, exploratory data analysis, and sophisticated modeling techniques; the Random Forest model achieved 97% accuracy, demonstrating its effectiveness in risk prediction.
🔹 Delivered a presentation of insights, highlighting factors such as age, income, and loan grade to refine approval strategies and mitigate risk, contributing to better decision-making.

🛠 Tools Used: MySQL, Microsoft Excel, Microsoft PowerPoint, Canva

🔹 Transformed raw patient data into strategic insights, uncovering lifestyle-driven risk factors for Dry Eye Disease using advanced analytics and comprehensive data evaluation techniques.
🔹 Pioneered data-driven visual narratives to bridge clinical understanding and patient outcomes, enhancing diagnostic precision and refining healthcare communication methodologies.
🔹 Delivered a 360° analysis of DED triggers, empowering preventive care strategies through predictive modeling and symptom mapping, thus improving patient-specific intervention plans.

Company: Clouddata LLC Pvt Limited
Duration: September 2025 - Present
Location: Onsite | Pakistan

🛠 Tools Used: Python, Microsoft Power BI, Excel

🔹 Collected, cleaned, and analyzed loan recovery data from local and international departments using CRM and Yeastar to monitor daily performance of 40+ Relationship Managers (RMs).
🔹 Automated hourly and end-of-day KPI reports using Python, Power BI, and Excel dashboards, tracking Total Calls, Answered Calls, Talktime, CRM updates, and PTP (Promise to Pay).
🔹 Identified performance trends, call efficiency gaps, and regional recovery patterns, converting raw data into actionable insights for team leads and operations managers.

Platform: Excelerate
Duration: January - August 2025
Location: Remote | Dubai, UAE

🛠 Tools Used: Python, SQL, Microsoft Power BI, Excel

🔹 Translated complex datasets into clear, actionable insights through EDA, identifying business trends and customer behavior to support data-driven decisions.
🔹 Designed and deployed interactive Power BI and Excel dashboards, significantly improving KPI tracking and enabling real-time reporting for stakeholders.
🔹 Performed RFM segmentation and Churn/Retention analysis, strengthening customer insights and supporting effective marketing and operational strategies.

Platform: Globalshala
Duration: June - December 2024
Location: Remote | Dubai, UAE

🛠 Tools Used: Python, Microsoft Power BI, Excel

🔹 Performed data cleaning, analysis, and visualization of digital marketing campaigns using Excel, Power BI, and Python, delivering insights on ROI and marketing KPIs (Reach, CTR, CPC, Impressions).
🔹 Cleaned, analyzed, and visualized digital marketing campaign data (Excel, Power BI, Python) to deliver insights on ROI and ad performance (Reach, CTR, CPC, Impressions).
🔹 Built interactive dashboards and reports for KPI tracking, budget optimization, and strategic decision-making.
🔹 Conducted competitor analysis, trend research, and audience segmentation, improving brand positioning and engagement across Instagram & LinkedIn.
🔹 Partnered with cross-functional teams to convert raw data into actionable insights, driving campaign innovation and measurable business results.
🔹 Improved overall marketing strategy by transforming complex data into clear, decision-ready insights that directly contributed to growth.

Platform: Excelerate - Project Manager
Duration: July - August 2025
Location: Remote | Dubai, UAE

🛠 Tools Used: Microsoft Excel, Canva, Google Sheets

🔹Planned a global experiential learning event, developing the Project Charter, Work Breakdown Structure, and team proposal aligned with a $30,000 budget and 6-month timeline.
🔹Created a Gantt chart with task sequences, dependencies, and milestones to streamline execution.
🔹Built a comprehensive Risk Register with mitigation strategies for major project risks.
🔹Presented the final project plan to leadership, demonstrating strong timeline control, risk management, and implementation readiness.

• IBM Data Science Professional Certificate – IBM (via Coursera)

• Google Data Analytics Professional Certificate - Google (via Coursera)

• Microsoft Business Analyst Professional Certificate - Microsoft (via Coursera)

• Data Science in Stratified Healthcare and Precision Medicine – University of Edinburgh

• Data Analytics Bootcamp Certificate – Institute of Emerging Careers (IEC)

• Google AI Essentials – Google (via Coursera)

• AI For Everyone – DeepLearning.AI (via Coursera)

• Bachelor of Science in Computer Science (Hons.) – National College of Business Administration & Economics

Thanks for visiting!
I'm always excited to collaborate, solve real-world problems, or contribute to impactful data projects.
Feel free to reach out — let’s turn insights into action! 🚀

I’m Syed Hur Abbas Naqvi, a Certified Data Analyst skilled in Python, SQL, Power BI, Excel, and Machine Learning.
I specialize in turning raw data into business intelligence that drives growth — from data cleaning & EDA to visualization & strategic insights.

🌐 Portfolio: https://hurabbas05.github.io/
🔗 LinkedIn: https://www.linkedin.com/in/hurabbas05/
📧 Email: [email protected]
📞 Phone: +923036098700