I build a practical foundation in data science: cleaning real datasets, exploring them until they tell a clear story, and training classification models — backed by a solid software engineering background.
I'm currently pursuing a BS in Computer Science at Superior University Faisalabad, maintaining a 3.88/4.00 CGPA. Over the past year I've been shifting my focus toward data science — working through Python's data stack (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn) on real and practice datasets.
I focus on building habits that matter: checking data quality before drawing conclusions, choosing the right chart for the question, and evaluating models honestly rather than chasing a single metric.
Before this, I spent time building software — mobile apps in Flutter, web systems in PHP, and algorithmic projects in C++ — which is where my problem-solving foundation comes from. I'm now applying that same rigor to data.
Digging into datasets to uncover patterns, correlations, and outliers before any modeling starts.
Handling missing values, duplicates, and type mismatches so analysis rests on solid ground.
Choosing the right visual representations to make a dataset's story instantly understandable.
Training and evaluating classification models like Logistic Regression and Random Forest.
Explored pricing patterns across the classic diamonds dataset (~54,000 records) to see which attributes actually move the price.
Cleaned a raw order-level dataset — audited nulls, imputed missing coupon codes, checked duplicates — then ranked products by revenue and units sold.
Box plots, line plots with confidence intervals, and grouped bar charts across the tips, iris, and Titanic datasets — refining styling and estimators.
Built a preprocessing pipeline and trained Logistic Regression and Random Forest models to flag customers likely to cancel, evaluated with ROC-AUC.
A BI-style analysis of transactional sales data: monthly revenue and profit trends, category and regional performance, and top customers by value.
Before data science, I built full applications — this is where my engineering habits come from.
Flutter, Dart, Firebase — health-tech app connecting patients with diagnostic labs, with real-time pricing and booking.
HTML, CSS, PHP — career-counseling platform with an AI chatbot API for personalized roadmaps.
HTML, CSS, JS, PHP — real estate portal with admin CRUD panels and property search.
C++, OOP — console-based reservation system using custom data structures for fast search and sorting.
Currently pursuing. Maintaining a CGPA of 3.88 / 4.00.
Aggregate score of 85%.
1083 / 1100 marks.