Syed Hur Abbas Naqvi | Data Analyst Portfolio

About Me

Data Analyst with a strong grasp of turning raw data into clear, actionable insights. Skilled in data visualization, reporting, and analytics, with added perspective from clinical experience. Adept at uncovering trends and translating complex information into practical recommendations. Focused on driving smart decisions in fast-paced, growth-oriented teams.

Skills

Languages

Python Pandas NumPy Scikit-learn

Data Visualization

Power BI Tableau Matplotlib Seaborn MS Excel

Databases

MySQL

Data Analytics

Statistical Testing Regression Analysis Hypothesis Testing ETL

Others

Artificial Intelligence Project Management Jira Canva Git

Projects

Capstone Dry Eye Disease Project

Exploratory analysis of Dry Eye Disease patterns using patient data, sleep habits, and lifestyle factors.

Transformed raw patient data into strategic insights, uncovering lifestyle-driven risk factors for Dry Eye Disease using advanced analytics.
Pioneered data-driven visual narratives to bridge clinical understanding and patient outcomes, enhancing diagnostic precision.
Delivered a 360° analysis of DED triggers, empowering preventive care strategies through predictive modeling and symptom mapping.

View on GitHub

Loan Default Risk Analysis

Data-driven loan default risk analysis using Python, Pandas, and Matplotlib.

Analyzed 32,000+ loan records to uncover key default risk drivers using statistical tests and data visualization.
Designed a predictive pipeline with feature engineering, EDA, and modeling; Random Forest achieved 97% accuracy, catching 91% actual defaulters.
Presented actionable insights (via age, income, interest, loan grade) to improve loan approval strategies and reduce risk exposure.

View on GitHub

Internships

Marketing Insights & Innovation Intern – Glimpse

Platform: Excelerate

Duration: June – July 2025

Location: Remote | Dubai, UAE

Revived Glimpse’s social media presence by leading a 4-week digital campaign strategy tailored for the university market across Instagram & LinkedIn.
Conducted in-depth competitor analysis and audience research to craft trend-driven content calendars, optimized visuals, and platform-specific engagement.
Launched influencer outreach & interactive campaigns (polls, giveaways, stories), helping position Glimpse as a go-to travel merchandising partner.
Analyzed content performance using reach, engagement, and growth metrics to shape next-month’s marketing roadmap with data-backed decisions.

View on GitHub

AI-Powered Data Insights Intern – Excelerate

Platform: Excelerate

Duration: June – July 2025

Location: Remote | Dubai, UAE

Analyzed student engagement data to uncover signup trends, identify drop-off patterns, and recommend strategies for improving completion rates.
Cleaned and transformed raw datasets, conducted exploratory data analysis (EDA), and built predictive churn models using classification techniques.
Delivered a final report and presentation highlighting insights, model outcomes, and a prototype recommendation system to enhance student retention.
Collaborated with an international team of data interns, coordinating across time zones to deliver a cohesive, data-driven solution.

View on GitHub

Data Visualization Intern – GlobalShala

Platform: Excelerate

Duration: July 2025 – Present

Location: Remote | Dubai, UAE

Analyzed Facebook Ad campaign data from GlobalShala’s Superhero U event to identify underperforming ads using key metrics like Reach, CTR, CPC, and Impressions.
Created clear, engaging visual reports in Excel to highlight ad performance gaps and support data-driven decisions for the Finance team.
Collaborated with team members to deliver a final presentation summarizing campaign trends, key insights, and cost-saving recommendations.

View on GitHub

Project Management Intern – Excelerate

Platform: Excelerate

Duration: July 2025 – Present

Location: Remote | Dubai, UAE

Planned a global experiential learning event by developing a detailed Project Charter, Work Breakdown Structure, and team proposal, aligned with a $30,000 budget and a 6-month timeline.
Designed a professional Gantt chart with task sequences, dependencies, milestones, and created a comprehensive Risk Register with mitigation strategies for major project risks.
Co-presented the final project plan to leadership, showcasing timeline control, risk foresight, and implementation readiness.

View on GitHub

Certifications

Data Analysis Certificate

Institute: Institute of Emerging Careers

Mastered practical skills in Python, MySQL, Power BI, data wrangling, visualization, and advanced statistics. This course empowered me with all the core portfolio skills used in real-world analytics projects.

AI for Everyone

Institute: Coursera (by Andrew Ng)

Developed a strong understanding of practical AI concepts and ethics, enabling collaboration and leadership in innovative, AI-driven teams and projects.

Education

Pakistan Institute of Ophthalmology, Al-Shifa Trust Eye Hospital – Rawalpindi

BSc (Hons) Optometry and Orthoptics

2023 – Present