Data Analysis
Data cleaning, exploratory data analysis, statistical analysis, data preparation, and analytical reporting.
Data Scientist
I build end-to-end data and AI solutions using machine learning, predictive analytics, business intelligence, and intelligent applications. My work combines data, models, and software engineering to transform complex problems into reliable, practical solutions.

I’m a Data Scientist with a Computer Science background, focused on building end-to-end machine learning, analytics, and AI solutions that move from raw data to practical applications.
My work spans the complete data science lifecycle, including data preparation, exploratory analysis, feature engineering, predictive modeling, model evaluation, NLP, business intelligence, and application development.
I build beyond standalone notebooks and experiments, developing practical systems that connect data, machine learning models, APIs, analytics, and user-facing applications. My projects include AI-powered analytics platforms, predictive systems, NLP applications, and interactive business intelligence solutions.
My core technology stack includes Python, SQL, scikit-learn, XGBoost, FastAPI, PostgreSQL, Power BI, and modern AI technologies. I focus on reliable model development, clear analytical communication, and building solutions that can be used beyond the experimentation stage.
Data cleaning, exploratory data analysis, statistical analysis, data preparation, and analytical reporting.
Feature engineering, classification, regression, model comparison, cross-validation, model evaluation, and predictive modeling.
Interactive dashboards, KPI reporting, Power BI, analytical visualization, and business-focused reporting.
Text preprocessing, sentiment analysis, TF-IDF, classification, text exploration, and NLP-based analytical applications.
Developing applications where AI explains verified analytical and machine learning results instead of replacing the underlying calculations.
Building usable analytical applications around models and datasets using modern frontend, backend, database, and deployment technologies.

AI • Machine Learning • Data Analytics • Full-Stack Data Science
A full-stack platform guiding users from raw datasets through cleaning, EDA, machine learning, predictions, AI-supported explanations, and reporting.

NLP • Machine Learning • Data Analytics
A healthcare text analytics application for sentiment analysis, model evaluation, pattern visualization, and analytical reporting.

Business Intelligence • HR Analytics • Data Visualization
An interactive Power BI dashboard for exploring workforce composition, employee characteristics, job-related factors, and attrition indicators.

Algorithms • Parallel Computing • Full-Stack Development
A graph-processing application exploring sequential and parallel shortest-path computation, interactive visualization, and performance benchmarking.

Business Analysis • Project Management • System Planning
A system-planning project covering requirements, stakeholders, risk, scheduling, resources, workflows, and governance for a student event platform.

Machine Learning • Database • Final Year Project
A final year project combining appointment no-show prediction, expected patient-volume forecasting, and database work with structured project delivery.
Alison
Issued 22 September 2026
Score: 97%
Verify credentialIssued 21 September 2026
Issued 21 September 2026
Iqra University · Karachi, Pakistan
Explore my GitHub for source code, technical documentation, data science applications, machine learning projects, and ongoing development work.
I'm open to professional opportunities and collaborations in Data Science, Machine Learning, Data Analytics, Business Intelligence, and AI-powered data applications.
Resume available on request.