Machine LearningKarachi AQI Forecasting System
End-to-end ML system for forecasting Karachi air quality up to 72 hours ahead using automated feature pipelines, Hopsworks, and multiple forecasting models.
/THE PROJECTS
Ideas, made
real.
Exploring what’s possible with AI, machine learning and data. A closer look at the problems, the process and the work.
12 projects
Machine Learning
Data Analytics365 Cosmetics Inc - Sales & Profitability Dashboard
Power BI solution addressing a 'profitless growth' crisis by analyzing 25K+ transactions to optimize discounts and recover profitability.
Data Analytics365 Retail Inc - Executive Sales & Customer Analytics
Executive-level Power BI dashboard analyzing 7,000+ transactions to drive revenue diversification, customer acquisition, and operational cost control.
Data AnalyticsBanking Analytics: Credit Card Launch & RAAST Switcher Strategy
Banking Analytics project using Power BI & DAX. Includes Data Modeling, Income Utilization metrics, and Market Penetration KPIs to optimize customer acquisition.
Data AnalyticsInvestment Performance Monitor - Power BI + Snowflake + Airflow
An investment analytics pipeline combining Python, Apache Airflow, Snowflake and Power BI. Dashboard portfolio values use sample data.
Data AnalyticsKarachi Weather Forecast Dashboard - Power BI
A Power BI dashboard bringing Karachi weather, a seven-day forecast and air-quality indicators into one view.
Data AnalyticsE-Commerce Sales Dashboard - Power BI
Power BI dashboard providing category-wise sales, payment trends, and customer insights from e-commerce data.
Data AnalyticsSales Trend Analysis of Pharmaceutical Distribution in Karachi
Designed a star-schema data warehouse, performed ETL in Power BI, and built dashboards for trends, pricing, and regional performance.
Machine LearningPredict Employee Attrition
Built classification models (Random Forest, Logistic Regression) with SHAP/LIME explainability to support HR retention decisions.
Machine LearningText Summarization
Implemented extractive (spaCy) and abstractive (Transformers) summarization; fine-tuned models and evaluated on news articles.
Machine LearningDisease Diagnosis Prediction
EDA, feature selection, scaling, and Gradient Boosting on PIMA/Heart Disease datasets with AUC-ROC evaluation.
Machine LearningLoan Default Prediction
Preprocessing with imbalance handling (SMOTE), classifiers (LightGBM/SVM), and metrics reporting for lender recommendations.
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