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Hassan Ansari

@hassanansari3

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I build end-to-end machine learning projects using Python, computer vision, NLP, and data analysis.

India

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What I'm looking for

I'm looking to grow into a Data Science role supporting production ML systems, with opportunities to work on time-series analysis, model monitoring, and applied machine learning for real-world processes.

I've built end-to-end machine learning projects that turn raw data into evaluated, practical outputs. My work spans problem framing, data cleaning, model building, evaluation, iteration, and visualization.

For an automated facial recognition and attendance tracking system, I used Python, OpenCV, and Dlib to reach 95% recognition accuracy. I tested the system against lighting and capture-quality conditions, improving reliability and reducing manual attendance effort by 70%.

I also built a YouTube comment sentiment analysis project, developing an NLP classification model that achieved 90% accuracy across positive, negative, and neutral sentiment. I cleaned and preprocessed real-world text data, then visualized results to support data-driven interpretation.

I'm growing toward a Data Science role supporting production ML systems, with particular interest in time-series analysis, model monitoring, and applied machine learning for real-world processes.

Experience

Work history, roles, and key accomplishments

Automated Facial Recognition & Attendance Tracking System

Self Employed

Owned the project end-to-end, using OpenCV for face detection and Dlib for facial recognition, reaching 95% recognition accuracy. Iteratively tested and refined the system, reducing manual attendance effort by 70%.

Python OpenCV Dlib Computer Vision Model Evaluation Data Collection

Aspiring Data Scientist

Self Employed

Recent graduate in Artificial Intelligence & Machine Learning with hands-on project experience in ML, Computer Vision, and NLP. Proficient in Python, SQL, and core data libraries.

Machine Learning Python SQL NumPy Pandas Matplotlib OpenCV Dlib NLP Computer Vision Data Cleaning Data Analysis Data Visualization Power BI Excel

YouTube Comment Sentiment Analysis & Visualisation

Self Employed

Built and evaluated an NLP classification model end-to-end on real-world text data, achieving 90% accuracy in classifying sentiment. Applied structured data cleaning and preprocessing, then visualized results for data-driven interpretation.

Python NLP Machine Learning Data Cleaning Data Visualization Classification Model Evaluation

Education

Degrees, certifications, and relevant coursework

Universal College of Engineering

Bachelor of Engineering, Artificial Intelligence & Machine Learning

2022 -

Pursuing a Bachelor of Engineering in Artificial Intelligence & Machine Learning, with coursework and independent projects in Machine Learning, Data Analysis, and Computer Vision.