About Me

As a dedicated dual-degree student at IIT Madras and Dr. A. P. J. Abdul Kalam Technical University, I am pursuing Bachelor's degrees in Data Science and Computer Science Engineering. I bring a strong commitment to learning and a relentless work ethic to all endeavors. I approach challenges with enthusiasm, considering setbacks as opportunities for growth. My goal is to contribute meaningfully to the dynamic field of technology. Beyond academics, I find rejuvenation in playing badminton, a sport that fosters physical fitness and provides a welcome break from the demands of a rigorous academic and professional life.

Education: Bachelor Degree

Language: English, Hindi, Urdu

Other Skills: Flask, Insomnia, Excel, Git, REST APIs, Pandas, Numpy & Google BigQuery

Interest: Traveling, Playing Badminton

Resume

I am a dual-degree student at IIT Madras and Dr. A. P. J. Abdul Kalam Technical University, pursuing Data Science and Computer Science Engineering. With expertise in HTML5\CSS, Bootstrap, JAVASCRIPT, Flask, RestAPIs, C\C++, Python, JAVA, PostgreSQL and more, I've applied skills in projects like the Music Streaming Web App. Outside academics, I enjoy badminton, volunteer in AURA’23 at IIT Delhi, and bring resilience, dedication, and a thirst for knowledge to contribute meaningfully to technology.

Work Experience

GLOBAL INFO VENTURES | Trainee Jul 2024 - Aug 2024

Developed and implemented a Personal Protective Equipment (PPE) detection system using OpenCV and deep learning techniques, enhancing workplace safety by accurately identifying compliance with safety protocols.
Designed and deployed a Multi-Person Face Recognition system leveraging OpenCV and machine learning algorithms, improving security and access control efficiency in various environments.
Created a People-Count system using OpenCV, enabling accurate real-time monitoring of crowd density and flow, which can be applied to various public and private settings for better management and safety.

Anudip Foundation| Data Analyst Internship Oct 2023 - May 2024

Analyzed data from MySQL databases using Python, NumPy, and Matplotlib, providing actionable insights and visualizations to support business decisions.
Performed data analysis on CSV files, leveraging Python libraries to identify trends and patterns, and created interactive dashboards using Power BI to present findings effectively.
Developed and maintained data visualizations and dashboards in Power BI, enhancing data accessibility and decision-making processes for stakeholders.

Projects

Below are the sample Data Analytics projects on SQL, Flask Web Apps and ML Project

Digital Music Store Data Analysis using SQL

Analyzed music store data using advanced SQL queires to identify gaps and increase the business growth.

Music Streaming APPLICATION v1

This Music Streaming App is a feature-rich platform designed for music enthusiasts. It accommodates both general users and creators, with the ability to stream music and read song lyrics. Users can enjoy music, view lyrics, rate songs, and curate their playlists. Creators, on the other hand, have the privilege to add new songs, albums, and lyrics.

Music Streaming APPLICATION v2

The Music Streaming App is a comprehensive platform for music lovers. It supports multiple user roles, allows music streaming with lyrics, and offers playlist management. Creators can add songs, albums, and lyrics. It uses Python, Flask, JavaScript, VueJS, SQLAlchemy (SQLite), and Redis for a seamless experience. The app also features an admin dashboard, robust search functionality, and dynamic content showcasing the latest and popular music.

People Count

This project is a comprehensive People or person count system designed to monitor occupancy levels. Dataset: Utilizes a dataset of Yolov7. Model: Trained using YOLOv7, optimized with NVIDIA DGX A100 for accelerated processing. Alert System: Integrated with Gmail API via Google Cloud to notify users of non-compliance. Real-time Detection: Capable of detecting PPE in real-time from video feeds. Containerization: The entire project is containerized using Docker and deployed on an NVIDIA DGX A100. Frontend: A minimalist Flask frontend for easy monitoring of detection processes.

Personal Protective Equipment Violation Detection

This project is a comprehensive Personal Protective Equipment (PPE) detection system designed to enhance workplace safety compliance. The system leverages advanced machine learning techniques and modern software development practices to provide real-time PPE detection and alerting. Dataset: Utilizes a dataset of 10,000 annotated images curated through Roboflow. Model: Trained using YOLOv7, optimized with NVIDIA DGX A100 for accelerated processing. Alert System: Integrated with Gmail API via Google Cloud to notify users of non-compliance. Real-time Detection: Capable of detecting PPE in real-time from video feeds. Containerization: The entire project is containerized using Docker and deployed on an NVIDIA DGX A100. Frontend: A minimalist Flask frontend for easy monitoring of detection processes.

MultiPerson Face Recognition

This project implements a robust multi-person face recognition system using Dlib, face_recognition, and other advanced technologies. The system is designed to detect and recognize faces in real-time, leveraging GPU acceleration and Docker for efficient deployment. The project is to create a trained ML model that can perform multi-person identification in the live video feed on NVIDIA A100 DGX Server. We have used popular DLib and face_recognition libraries as the basis of the project

I'm Imran Ashraf

About

About Me

Resume

Resume

Work Experience

Education

Bachelor of Engineering

Bachelor of Science

Certifications

Projects

Projects

Digital Music Store Data Analysis using SQL

Music Streaming APPLICATION v1

Music Streaming APPLICATION v2

People Count

Personal Protective Equipment Violation Detection

MultiPerson Face Recognition

IITM PROFILE

IITM PROFILE

Contact

Contact Me

Address

Contact Number

Email Address

Download Resume

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