CS Student | Data Science & AI | ML, NLP, Deep Learning
Computer Science graduate with hands-on training in Data Science, Machine Learning and analytics
I am a Computer Science graduate with specialized training in Data Science, Machine Learning and AI. My academic journey has equipped me with strong analytical and problem-solving skills, which I apply to real-world data challenges.
I have hands-on experience working with various machine learning frameworks including TensorFlow, Keras and Scikit-learn. My expertise spans across Natural Language Processing, Deep Learning and traditional ML algorithms.
I am passionate about leveraging data to solve complex problems and create impactful solutions. Currently based in Islamabad, I am open to relocating for the right opportunity.
Islamabad | Willing to Relocate
Bachelor's in Computer Science
Data Science, ML, NLP, Deep Learning
Python
A comprehensive overview of my technical expertise and the tools I work with
A showcase of my data science, machine learning and AI engineering projects
An advanced multi-agent system built with LangGraph that orchestrates autonomous research workflows. It gathers, analyzes, and synthesizes data via WebSockets for real-time reporting.
A Retrieval-Augmented Generation system that allows users to interact with PDF documents using natural language, extracting precise answers from large documents.
An intelligent conversational agent built to assist travelers with planning trips across Pakistan. Provides personalized, real‑time recommendations for destinations, itineraries, and local logistics—powered by LangGraph and LLMs.
An intelligent AI agent that automates the process of drafting and submitting leave applications based on conversational input from users.
An AI-powered agent that automatically generates professional portfolio websites based on user-provided information about their skills and projects.
Built a sentiment analysis model using Logistic Regression and Naive Bayes to classify text into positive/negative sentiment with model comparison and evaluation metrics.
Developed a Transformer-based Neural Machine Translation system for Balti to English. Created a custom dataset and used mBART fine-tuning for low-resource language translation.
Collaborative filtering recommendation engine using the Surprise library and MovieLens dataset to suggest personalized movie recommendations.
Predictive model to assess heart disease risk using patient data and ML classification algorithms, including model evaluation and feature importance analysis.
End-to-end ML project on the Titanic dataset covering data preprocessing, feature engineering, model training (including ML pipelines), evaluation and visualization.
A machine learning model that predicts student academic performance based on various factors, helping identify at-risk students early for targeted interventions.
Implementation and comparison of XGBoost and LightGBM classifiers on the Breast Cancer dataset, with training, evaluation metrics and results analysis.
Implementation of Ensemble techniques — Bagging, Random Forest, AdaBoost, Gradient Boosting — on the Breast Cancer dataset to improve classification accuracy and robustness.
Comprehensive EDA on the World Population dataset uncovering global and regional demographic trends using Python, Pandas, Matplotlib and Seaborn.
Analyzed global COâ‚‚ emission patterns, identified key contributors and visualized environmental trends over time using Python and NumPy.
Advanced preprocessing techniques including target encoding for high-cardinality categories, log-transforms and real-world data challenge handling.
A Django-based multi-level marketing referral system with user hierarchy management, commission tracking and an admin dashboard.
Academic and professional references available upon request
I'm always open to discussing new opportunities, collaborations, or projects. Feel free to reach out!
Islamabad, Pakistan
Willing to relocate
Ask me anything about Akhtar