I’m a data scientist & strategist, passionate about turning complex data into actionable business insights. Whether it's optimizing operations, refining product-market fit, or driving strategic growth, I use data to solve real-world problems.

💡 Key Focus Areas:

• Machine Learning & Predictive Analytics – Leveraging data to optimize decisions.
• Business Strategy & Growth – Using insights to scale businesses.
• Product Analytics & Market Research – Identifying trends that drive impact.

• 🛠 Optimized workflows across 15+ processes, improving efficiency.
• 📊 Built an ML model (82% accuracy) to forecast customer subscriptions.
• 🔍 Conducted competitive analysis to reduce churn.

• 📚 Mentored 60+ students in decision trees, forecasting, and optimization.
• 🛠 Led 5+ workshops on R, StatTools, and Precision Tree.
• 📊 Supervised 21 industry projects with companies like Askari Bank & Al-Khair Foam.

• 📈 Co-led 10+ projects across Product, Marketing, Growth & CRM.
• 📢 Managed 600+ member WhatsApp communities & led 4 major webinars.
• 🤝 Secured partnerships with Johnny & Jugnu, APSACS & The Educators, funding education for 3 schools in Gilgit.

• 📊 Surveyed 65+ customers to analyze preference trends.
• 🔍 Used logistic regression & Kansei Analysis to segment user preferences and craft distinct behavioral profiles.
• 📈 Built a market share simulator to forecast demand.

• Scraped 1,500+ articles, built an ML pipeline, and optimized classification with 98% accuracy.
  🔗 Repo

• Cleaned & analyzed patient data, trained Logistic Regression, Naïve Bayes, & Decision Trees, achieving 73% accuracy.
  🔗 Repo

• 📊 Analyzed vertical integration vs. asset liquidation.
• 🔍 Used Monte Carlo simulations for risk forecasting.
• 💰 Recommended asset liquidation, leading to $5.6 million in additional returns.

• 📊 Predicted nationwide demand across 24 stores using seasonality models.
• 🚚 Optimized courier allocation, reducing costs by $25,000 annually.

• 🎓 Dean’s Honor List (2022-25) – Recognized for academic excellence.
• 🏅 50% Merit Scholarship at LUMS (2022-25) – Awarded for outstanding performance.
• 🎖 National Distinction in CAIE A-Levels – Recognized as an Outstanding Cambridge Learner.
• 📊 Certified Business Intelligence Analyst – Tableau, Power BI, Python (Certified by Tableau & Datacamp).
• 🤖 Deep Learning Specialization (Certified by DeepLearning.AI).

💻 Languages: Python, R, SQL, C++
📊 Data & BI Tools: Power BI, Tableau, STATA, SPSS, Mixpanel, Excel, Palisade Suite, VBA

• 🌍 Current Affairs – Exploring geopolitics & economic shifts.
• 🎧 Podcasts – Deep dives into strategy, tech, and productivity.
• 🏸 Squash – A mix of strategy & speed on the court.

📩 Email: Email 🔗 LinkedIn: LinkedIn ✍️ Medium: Blog