Open to opportunities

Muhammad Afaq

@muhammadafaq

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Junior Data Scientist skilled in machine learning and data analysis.

Pakistan

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What I'm looking for

I am looking for opportunities that allow me to leverage my data science skills in a collaborative environment, focusing on innovative projects that drive impactful results.

I am a Junior Data Scientist with a strong foundation in machine learning, deep learning, and data analysis using Python. My passion lies in building AI solutions that address real-world challenges through predictive modeling and analytics. I have honed my skills in various domains, including data science, machine learning, and data visualization, and I am eager to contribute to innovative projects.

During my internship at Drupify, I performed data cleaning, preprocessing, and validation to ensure high-quality datasets for analysis. I collaborated with cross-functional teams to support data-driven decision-making and utilized tools like Python, Pandas, and Excel for data wrangling. My projects, such as the FinSolve Role-Based Chatbot System and the Car Damage Detection model, showcase my ability to develop intelligent systems that enhance user experience and streamline processes.

Experience

Work history, roles, and key accomplishments

Ecommerce Chatbot System

Ecommerce Project

Jun 2025 - Present (2 months)

Created an intelligent eCommerce chatbot to handle customer queries, provide personalized product recommendations, and assist with order-related support. Integrated natural language understanding to enhance user experience and streamline the online shopping process.

Python ChromaDB Natural Language Understanding

Role Specific Chatbot System

FinSolve

Jun 2025 - Present (2 months)

Developed the FinSolve Role Based Chatbot System, an internal assistant that delivers department specific responses based on user roles. Enabled secure access to organizational information, ensuring each department interacts only with its relevant data.

Retrieval Augmented Generation (RAG)Python fastAPI

Car Damage Detection

VROOM Cars

Apr 2025 - Present (4 months)

Built a deep learning model using PyTorch and ResNet to classify car damage into six categories, achieving over 75% accuracy. Developed as a proof of concept to enable automated damage assessment.

Deep Learning Convolutional Neural Networks (CNNs)PyTorch Python ResNet

Healthcare Premium Prediction

Healthcare Project

Feb 2025 - Present (6 months)

Built a high-accuracy machine learning model to predict health insurance premiums based on user features such as age, BMI, smoking status, and medical history. Conducted data cleaning, exploratory data analysis (EDA), and model selection to meet strict performance benchmarks.

Python Pandas NumPy Machine Learning scikit learn Data Cleaning Feature Model Selection

Data Analyst Intern

Drupify Peshawar

Sep 2023 - Present (1 year 11 months)

Performed data cleaning, preprocessing, and validation to ensure high-quality datasets for analysis. Collaborated with cross-functional teams to support data-driven decision-making.

Python Pandas NumPy Excel Data Cleaning data preprocessing Data Validation Data Reporting Documentation

SymptoScan: AI-Driven Health Diagnosis

University Of Engineering and Technology Peshawar

Sep 2020 - Present (4 years 11 months)

Built a RAG-based system to diagnose nose-related health issues from user input. Created a chatbot offering medicine suggestions, usage instructions, and warnings.

Chatbot Development fastAPI Flutter Document Management

Microsoft Learn Student Ambassador

Alpha Microsoft Learn Student Ambassador

Volunteered with the Artificial Intelligence Community of Pakistan at UET Peshawar. Contributed to community initiatives and knowledge sharing in the field of AI.

Community Engagement Artificial Intelligence Knowledge Sharing event support

Education

Degrees, certifications, and relevant coursework

University Of Engineering and Technology Peshawar

Bachelor's, Computer Science

2020 - 2024

Grade: 3.14

Activities and societies: Final Year Project: SymptoScan: AI-Driven Nose-Related Health Diagnosis. Built a RAG-based system to diagnose nose-related health issues from user input. Created a chatbot offering medicine suggestions, usage instructions, and warnings. Built with FastAPI and deployed via Flutter for remote user access. Integrated OpenAI models for accurate responses and enabled document saving for specialist review.

Completed a Bachelor's degree in Computer Science, focusing on various aspects of the field. Developed SymptoScan, an AI-driven RAG-based system for nose-related health diagnosis, as a final year project. The project included a chatbot for medicine suggestions and was built with FastAPI, deployed via Flutter, and integrated OpenAI models.