Kabeer Ali

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.

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

About Me

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.

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.

Projects

Project cover illustration of a data science platform with analytical charts and an AI assistant

AI • Machine Learning • Data Analytics • Full-Stack Data Science

AI-Powered Data Scientist & Business Analytics Platform

Flagship Project

A full-stack platform guiding users from raw datasets through cleaning, EDA, machine learning, predictions, AI-supported explanations, and reporting.

  • Python
  • FastAPI
  • scikit-learn
  • PostgreSQL
  • Next.js
  • Ollama
Project cover illustration of HealthInsight AI with sentiment analysis and text analytics charts

NLP • Machine Learning • Data Analytics

HealthInsight AI

A healthcare text analytics application for sentiment analysis, model evaluation, pattern visualization, and analytical reporting.

  • Python
  • Streamlit
  • NLP
  • scikit-learn
  • TF-IDF
  • Plotly
Project cover illustration of an HR analytics dashboard with workforce and attrition charts

Business Intelligence • HR Analytics • Data Visualization

Power BI HR Analytics Dashboard

An interactive Power BI dashboard for exploring workforce composition, employee characteristics, job-related factors, and attrition indicators.

  • Power BI
  • Data Analytics
  • Business Intelligence
  • Data Visualization
  • HR Analytics
  • KPI Reporting
Project cover illustration of Graph Speedster with a network diagram and shortest-path controls

Algorithms • Parallel Computing • Full-Stack Development

Parallel Dijkstra — Graph Speedster

A graph-processing application exploring sequential and parallel shortest-path computation, interactive visualization, and performance benchmarking.

  • C++
  • OpenMP
  • MySQL
  • REST API
  • React
  • TypeScript
Project cover illustration of a student event management interface with event listings

Business Analysis • Project Management • System Planning

Student Event Management System

A system-planning project covering requirements, stakeholders, risk, scheduling, resources, workflows, and governance for a student event platform.

  • Trello
  • Business Analysis
  • Project Management
  • Requirements Gathering
  • Risk Management
Project cover illustration of an appointment system with no-show prediction and patient-volume charts

Machine Learning • Database • Final Year Project

Doctors' Appointment & Consultation System

Final Year Project

A final year project combining appointment no-show prediction, expected patient-volume forecasting, and database work with structured project delivery.

  • Python
  • PostgreSQL
  • Supabase
  • SQL
  • Random Forest
  • XGBoost

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

Certifications

SQL for Data Analysis

Issued 21 September 2026

SQL Projects

Issued 21 September 2026

Education

Bachelor of Science in Computer Science

Iqra University · Karachi, Pakistan

Explore My Code

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

View GitHub Profile

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.

Resume available on request.

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