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MuhammadAhmedSuhail/README.md

Hi there, I'm Muhammad Ahmed Suhail 👋

Welcome to my GitHub profile! I'm a passionate Data Scientist with a recent degree in Data Science from FAST-NUCES, Islamabad. I'm driven by a desire to make impactful contributions in the field of Machine Learning, Artificial Intelligence, and Data Analysis. My GitHub is a testament to my journey, showcasing various projects and internships that have honed my skills and ignited my curiosity.

🔍 About Me

🛠️ Skills

Technical Skills:

  • Programming Languages: Python, R, SQL
  • Machine Learning & AI: TensorFlow, PyTorch, Scikit-learn, BERT, GenAI, RAG
  • Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Power BI, Tableau
  • Web Development: Flask, FastAPI, MERN, NextJS, TypeScript, RESTful APIs
  • Tools: Docker, Git, MySQL

Soft Skills:

  • Analytical Thinking
  • Strong Communication Skills
  • Structured Working
  • Result Oriented
  • Teamwork

🌟 Experience

Machine Learning Engineer Intern

AID Lab, Islamabad (Aug 2023 - May 2024)

  • Designed a voice assistant for monitoring mental and physical health.
  • Integrated features like workout and calorie tracking, anxiety and depression detection, and emotional state monitoring.
  • Finetuned BERT for emotion detection and utilized Generative AI and RAG for mental health suggestions.

Natural Language Processing (NLP) Intern

AIMLAB, Islamabad (Jul 2022 - Aug 2022)

  • Completed over 20 text preprocessing projects, enhancing analysis accuracy by 70%.
  • Improved team efficiency by 25% through effective presentation of results and learnings.

🚀 Projects

  • Near Real-Time DataWarehouse Analysis: Built a data warehouse for a shopping store with real-time customer behavior analysis.
  • EDA on Pakistan Floods: Extracted insights and created visualizations using Selenium, Matplotlib, and Seaborn.
  • Sales Automation Assist: Developed Sales Automation Assist, an automated solution enhancing sales efficiency using Python. Implemented the Opener Agent to generate personalized cold opening emails and track interactions, and the Escalator Agent to handle lead responses and determine follow-up actions. Utilized LangChain, llama-index, and OpenAI APIs to optimize sales processes.
  • LegalEase: LegalEase is a platform designed to simplify the understanding of legal rights under Pakistani law, addressing the issue of legal illiteracy. It leverages advanced natural language processing (using Mistral) and secure data storage (Firebase Firestore) to provide clear and accessible legal information to the public. Promoted on LinkedIn, LegalEase quickly gained traction and received positive feedback for its impactful approach to improving legal awareness and accessibility.

To view my entire Data Science, Machine Learning and AI portfolio visit here.

🏆 Honors and Awards

  • Third position in academic standings for the seventh semester.
  • Dean's List for sixth, seventh, and eighth semesters.
  • Founder of a successful data science blog attracting over 850 users per month using SEO.

Feel free to explore my repositories and connect with me on LinkedIn or via email. Let's collaborate and innovate together!

Popular repositories Loading

  1. DataScience-AI-ML-Portfolio DataScience-AI-ML-Portfolio Public

    This is the collection of all the projects I have done related to DataScience, Machine Learning and AI.

    1

  2. Image-Reconstruction-using-AI Image-Reconstruction-using-AI Public

    Applied A* algorithm to solve the problem of image reconstruction.

    Jupyter Notebook 1

  3. EDA-on-DBLP-using-Python-MongoDB EDA-on-DBLP-using-Python-MongoDB Public

    EDA on DBLP Data which is first uploaded on local MongoDB and then analyzed using Python.

    Jupyter Notebook 1

  4. Clashless-TimeTable-using-AI Clashless-TimeTable-using-AI Public

    Applied Genetic algorithm to solve the problem of clashes in timetables.

    Jupyter Notebook

  5. Kafka-ML_Classification-App Kafka-ML_Classification-App Public

    Kafka Environment which takes Live Data from an app and Then Processes and Classifies the Labels using Machine Learning and the final output is displayed on the website hosted using Flask.

    Python

  6. Weather-Data-Analysis-using-Python Weather-Data-Analysis-using-Python Public

    Analyzed weather data and addressed the common challenge of missing data in data analysis.

    Jupyter Notebook 1