Expert at| Data Science NLP Tasks AI Integration Web Scraping Machine Learning Backend Development
Get to know me better
I'm Muhammad Shahzad Waris, a passionate Data Science student and Python specialist with expertise in AI integration, web scraping, and LLMs. Currently working as a Data Science Intern at Rapide Technologies, I specialize in building intelligent web applications, implementing machine learning models, and developing automated data extraction systems. My technical arsenal includes Python, FastAPI, TensorFlow, PyTorch, and Computer Vision, enabling me to create impactful solutions from sentiment analysis tools to real-time financial dashboards.
Technologies I work with
Python, C/C++, SQL for data science and backend development
TensorFlow, PyTorch, Computer Vision (OpenCV), Deep Learning
FastAPI, Flask, PostgreSQL, MySQL, MongoDB
GPT, Gemini, Speech-to-Speech, conversational AI systems
Numpy, Pandas, Sklearn, Power BI, data visualization
LinkedIn data extraction, automated data collection
My professional journey
Built and deployed full-stack web applications with FastAPI backend. Collaborated with team to deliver production-ready websites. Implemented LLMs, developed chatbots (Speech-to-Speech), and created web scrapers for LinkedIn data extraction.
Currently pursuing Bachelor of Science in Data Science at National University of Computer and Emerging Sciences. Focusing on machine learning, data engineering, and AI applications.
Completed intermediate education in Pre Engineering, building strong foundation in mathematics, physics, and analytical thinking that supports data science studies.
Some of my recent work
Advanced CNN-based model to detect deepfake images and videos using deep learning techniques. Implemented computer vision algorithms for facial analysis and authenticity verification.
Detected fire ignition using RNN, LSTM, Transformers and spread prediction using UNET. Advanced deep learning approach for environmental monitoring and disaster prediction.
Built real-time financial dashboard combining stock data with sentiment analysis. Generated trading signals using Streamlit, TextBlob, and Alpha Vantage APIs.
Built ML models using WHO data to predict disease spread and optimize resource allocation. Visualized healthcare trends using Power BI for data-driven decision making.
Developed a desktop ERP system to manage inventory, orders, tables, CRM, finances, and employee data. Implemented ML-based recipe suggestions using historical data.
Built high-performance ecommerce site for a database course project. Implemented full shopping cart functionality with secure payment processing.
Let's work together on your next project
mshahzadwaris92@gmail.com
+92 326 6615982
Lahore, Pakistan