Greetings, I'm Zulfiqar

An adept Data Scientist with a robust foundation in Applied and Computational Mathematics. My expertise spans Machine Learning, Deep Learning, Image Processing, and Signal Processing. I leverage Natural Language Processing to optimize outcomes and excel in developing End-to-End Machine Learning and Computer Vision applications.

See My Resume

Professional Expertise

Experienced Machine Learning, Data Science, and Computer Vision Developer with hands-on expertise in model development, training, and deployment.

Artificial Intelligence & Machine Learning

Developing intelligent web applications based on machine learning, deep learning, computer vision, and natural language processing using Python and web frameworks.

Advocating for machine learning libraries, empowering data scientists and machine learning experts to design cutting-edge solutions.

Building RESTful APIs with Django and the FASTAPI Python Framework for AI-based Web Apps.

Successfully deploying end-to-end systems on the cloud.

Cloud Computing Architecture/DevOps

Working on various cloud platforms to build and train Deep Learning and Computer Vision models.

Deploying websites, hosting, and integrating databases on virtual machine instances.

Utilizing Github, Netlify, and Heroku to construct CI/CD pipelines for automated testing and deployment.

Full Stack Web Development

Creating responsive web apps using HTML, CSS, and Bootstrap4, JQueryb, Netlify, and Heroku.

Building responsive Single-Page Apps (SPA) and Progressive Web Apps (PWA) in React.js.

Developing responsive static websites using Next.js.

Implementing Django REST Framework and building RESTful APIs.

Utilizing WordPress to create educational websites.

Proficiency

Big Data Analytics

100%

Artificial Intelligence Algorithmic Skill

90%

Data Structure & Algorithm

90%

DevOps Tools

80%

Backend in Python

85%

Computational Mathematical Statistical Skill

100%

Frontend/Design/GUI

70%

Education

Sejong University

Master of Science in Optical Engineering

September 2022 - February 2023

Graduate Research assistant in the field of Biomedical Imaging.

COMSATS University Islamabad

Master of Science in Applied & Computational Mathematics

September 2018 - September 2020

Applied Machine Learning in time series data data.

Experience

Press Information Department, Government of Pakistan

Data Scientist/Analyst

April 2023 – Present

Automating and processing media information using Artificial Intelligence.

Conducting sentiment analysis.
Analyzing content using Natural Language Processing & Machine Learning approaches.

Center for Photonic Systems, Dept. of Electrical Engineering, Sejong University

Graduate Research Assistant

September 2022 - February 2023

Working on deep architecture for Light-based imaging modality capturing real-time 2D cross-sectional and 3D volumetric images with micron-scale resolution.

Applying deep learning to analyze clinical images.
Build end to end application for lung nudles segmentation.
Conducting biomedical imaging 3DNet Algorithms.
Training and deploying Vision Transformer (ViTs) models with an End-to-End solution.

NCAI SmartCity Lab

Deep Learning Research Engineer

September 2021 – June 2022

Application of Deep Learning in autonomous vehicles for safe driving.

Predicting driver behavior using computer Vision and deep learning techniques.
Implementing object detection and tracking algorithms using OpenCV.
Conducting headpose estimation using Tensorflow and Dlib.

Edureka

Machine Learning Intern

June 2017 –

Biomedical imaging using machine learning and deep learning.

Conducting end-to-end Machine learning projects using Python API and Tensorflow.
Real time PUBG data analytics.
Building models using supervised learning algorithms.
Hands-on projects on various kaggle datasets.

Department of Applied Mathematics Comsats University

Graduate Research Assistant

September 2018 - August 2021

Optimization of Deep learning algorithms

Statistical analysis of large-scale datasets using Python
Developing optimization algorithms for deep learning models.
Conducting missing value analysis of large-scale datasets using state-of-the-art methodologies.

Upwork

Full Stack Developer

May 2020 - May 2021

Developing responsive static and dynamic Web Apps using nextjs and django.

Building intelligent based Applications with React.js and Python Flask and FastAPI as the backend.

Our Clients Feedback

Ajang

Your analytical is more helpful for me. I learned too much from you. Your way of instruction is so gentle

Projects

Biomedical Imaging

Segmentation and detection of lesions using Deep Convolutional Networks.

Data Science with Machine Learning Problem: A Case Study

Classification of children's behavioral abnormalities using Machine Learning.

Demo

Sentiment Analysis

Analysis of sentiment in Tweets using Python API.

Demo

AgriDeepNet

Recommendation system for crops and fertilizers based on soil features in real-time using Deep Neural Network architecture.

Computer Vision

Development of computer vision and image processing models using OpenCV and Python.

Demo

Python Introductory Course

Created a comprehensive Python course for Data Science and Mathematicians/Statisticians.

Demo

Essential Mathematics for Machine Learning

Developed a mathematical foundation behind Machine Learning and Deep learning algorithms.

Reach Out to me!

DISCUSS A PROJECT OR JUST WANT TO SAY HI? MY INBOX IS OPEN FOR ALL

Applied Data Scientist||Mathematician||FARM Stack Developer||GenerativeAI||LLM

Islamabad Pakistan