Karachi, Pakistan · Open to remote

Kabeer Ali

Data Scientist

I build data-driven systems that combine machine learning, analytics, business intelligence, and AI to solve practical problems. My work covers the complete data workflow, from preparing and exploring data to developing predictive models, evaluating results, building analytical applications, and presenting findings through interactive dashboards.

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Kabeer Ali, Data Scientist, seated at a desk with a laptop
  • Python
  • SQL
  • Machine Learning
  • Power BI
  • PostgreSQL
  • scikit-learn
About

About Me

I'm a Data Scientist with a Computer Science background focused on building practical machine learning, analytics, and AI-powered systems.

My projects cover the complete data science workflow, including data preparation, exploratory analysis, feature engineering, predictive modeling, model evaluation, business intelligence, NLP, visualization, and application development.

Rather than limiting my work to isolated notebooks or models, I focus on developing usable systems around data. This includes automated analytics platforms, machine learning applications, interactive dashboards, NLP solutions, and data-driven decision-support tools.

My flagship work includes an AI-powered Data Scientist and Business Analytics Platform that automates major stages of the analytics and machine learning workflow while keeping calculated results separate from AI-generated explanations.

I work across Python, SQL, machine learning, Power BI, PostgreSQL, and modern data and AI technologies, with an emphasis on model correctness, clear analytical communication, and practical implementation.

Expertise

What I Do

Data Analysis

Data cleaning, exploratory data analysis, statistical analysis, data preparation, and analytical reporting.

Machine Learning

Feature engineering, classification, regression, model comparison, cross-validation, model evaluation, and predictive modeling.

Business Intelligence

Interactive dashboards, KPI reporting, Power BI, analytical visualization, and business-focused reporting.

Natural Language Processing

Text preprocessing, sentiment analysis, TF-IDF, classification, text exploration, and NLP-based analytical applications.

AI-Powered Analytics

Developing applications where AI explains verified analytical and machine learning results instead of replacing the underlying calculations.

Data Application Development

Building usable analytical applications around models and datasets using modern frontend, backend, database, and deployment technologies.

Featured work

Projects

AI • Machine Learning • Data Analytics • Full-Stack Data ScienceFlagship Project

AI-Powered Data Scientist & Business Analytics Platform

A full-stack data science and business analytics platform designed to take users from raw business data to cleaned datasets, exploratory analysis, machine learning models, predictions, AI-supported explanations, and professional reports through a guided workflow.

Python and machine learning libraries calculate the metrics and predictions. The AI layer explains structured, verified analytical results rather than inventing or recalculating them.

Project validation

  • 264 backend tests passed
  • 36 frontend tests passed
  • 67 benchmark checks across six datasets
  • Zero TypeScript errors in the validated build

Key capabilities

  • CSV and Excel dataset upload
  • Automatic dataset profiling
  • Recommended and manual data cleaning
  • Automated exploratory data analysis
  • Intelligent target detection with user confirmation
  • Classification and regression workflows
  • Automatic model training and comparison
  • Logistic and Linear Regression
  • Python
  • FastAPI
  • Pandas
  • NumPy
  • SciPy
  • scikit-learn
  • XGBoost
  • PostgreSQL
  • +11 more
NLP • Machine Learning • Data Analytics

HealthInsight AI

Healthcare NLP & Sentiment Analysis

An AI-powered healthcare text analytics dashboard designed to analyze patient and healthcare feedback using natural language processing and machine learning.

The application transforms unstructured textual feedback into sentiment analysis, NLP exploration, model evaluation, visual analytics, and downloadable reports.

A text analytics and sentiment analysis application — not a medical diagnosis system.

Key capabilities

  • CSV and Excel dataset upload
  • Single-text sentiment analysis
  • Bulk sentiment analysis
  • Text preprocessing pipeline
  • Lowercasing
  • HTML, URL, and email removal
  • Python
  • Streamlit
  • NLP
  • scikit-learn
  • TF-IDF
  • Machine Learning
  • Pandas
  • Plotly
Business Intelligence • HR Analytics • Data Visualization

Power BI HR Analytics Dashboard

An interactive Power BI dashboard designed to analyze workforce composition, employee characteristics, job-related factors, and attrition indicators through structured HR analytics.

The dashboard is organized into three analytical views: Home, Details, and Action.

Key analytical areas

  • Total Employees
  • Male and Female workforce metrics
  • Active Workers
  • Job Level
  • Total Working Years
  • Distance from Office
  • Power BI
  • Data Analytics
  • Business Intelligence
  • Data Visualization
  • HR Analytics
  • KPI Reporting
Algorithms • Parallel Computing • Full-Stack Development

Parallel Dijkstra — Graph Speedster

A graph-processing application for shortest-path computation that combines algorithm development, parallel computing, database integration, benchmarking, and an interactive web interface.

The project explores sequential and parallel implementations of Dijkstra's shortest-path algorithm and provides performance analysis for different execution configurations.

Key capabilities

  • Dijkstra shortest-path computation
  • Sequential execution
  • Parallel computing experimentation
  • OpenMP
  • Graph dataset processing
  • MySQL integration
  • C++
  • OpenMP
  • MySQL
  • REST API
  • React
  • TypeScript
  • Algorithms
  • Data Structures
  • +2 more
Live Demo
Business Analysis • Project Management • System Planning

Student Event Management System

A structured system-planning and project-management project for a centralized student event management platform covering event discovery, registration, notifications, feedback, administration, and reporting.

The project demonstrates requirements analysis, project planning, stakeholder management, risk management, workflow design, resource planning, and project governance.

Key areas

  • Project Charter
  • Requirements Analysis
  • Stakeholder Management
  • Work Breakdown Structure
  • Project Scheduling
  • Risk Register
  • Trello
  • Business Analysis
  • Project Management
  • Requirements Gathering
  • Risk Management
  • Stakeholder Management
  • System Planning

Additional Project Experience

Final Year Project

Doctors' Appointment & Consultation System

Final year academic project at Iqra University, created in connection with Indus Hospital.

Skills

Technical Expertise

Programming & Data

  • Python
  • SQL
  • C++

Data Science & Machine Learning

  • Pandas
  • NumPy
  • scikit-learn
  • XGBoost
  • Machine Learning
  • Predictive Modeling
  • Feature Engineering
  • Model Evaluation
  • Data Cleaning
  • Exploratory Data Analysis

NLP

  • Natural Language Processing
  • Text Preprocessing
  • Sentiment Analysis
  • TF-IDF

Business Intelligence & Visualization

  • Power BI
  • Data Visualization
  • KPI Reporting
  • Plotly
  • Recharts

Databases

  • PostgreSQL
  • MySQL

Data Application Development

  • FastAPI
  • Streamlit
  • Next.js
  • React
  • TypeScript

AI Technologies

  • Ollama
  • Qwen

Tools & Deployment

  • Docker
  • Docker Compose
  • Git
  • GitHub

Other Technical Areas

  • REST APIs
  • Parallel Computing
  • OpenMP
  • Algorithms
  • Data Structures
Credentials

Certifications

SQL for Data Analysis

Issued 21 September 2026

SQL Projects

Issued 21 September 2026

Education

Education

Bachelor of Science in Computer Science

Iqra University · Karachi, Pakistan

2022 – 2026
Source code

Explore My Code

Explore my GitHub for source code, technical documentation, data science applications, machine learning projects, and ongoing development work.

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Contact

Let's Connect

I'm open to professional opportunities and collaborations in Data Science, Machine Learning, Data Analytics, Business Intelligence, and AI-powered data applications.

LinkedIn GitHub Email

Resume available on request.