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Resume

📄 Resume

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🌟 About Me

🎯 I am a passionate AI Engineer and Data Scientist with expertise in Machine Learning, Deep Learning, and Data Analysis, Generative Ai & Agentic Ai. I focus on creating solutions based on data and providing valuable insights using the latest technologies..

🌟 SKILLS AND TOOLS:

  • Python with data science and machine learning
  • Numpy, Pandas, Seaborn, Matplotlib, Scipy and Scikit-Learn
  • Data preprocessing, Data wrangling and Exploratory data analysis (EDA) techniques
  • Knowledgeable in statistical analysis, hypothesis testing, and modeling techniques.
  • Data visualizations using Python libraries, Tableau and Power BI
  • Machine learning algorithms and evaluating model performance
  • PyTorch and TensorFlow for neural network based modeling.
  • Natural language processing (NLP) and time series analysis
  • Big data for analysis and model training
  • Proficient with Hugging Face pre-trained models
  • web app development using Streamlit & Gradio
  • Langchain API for language-related tasks
  • SQL for efficient data manipulation
  • Dash dashboards for creating visually appealing and interactive data applications
  • Proficient in web scraping with Python using BeautifulSoup, Scrapy, and Selenium
  • RAG-based apps (Retrieval-Augmented Generation) that integrate external knowledge retrieval with language generation for more accurate and context-aware responses
  • Skilled at creating AI agents with LangChain for building intelligent systems that reason, access external knowledge, and act autonomously

🏆 Certifications

💻 Technical Skills

  • Programming Languages: Python, SQL
  • Libraries & Frameworks: NumPy, Pandas, Seaborn, Matplotlib, Scikit-learn, TensorFlow, PyTorch, Hugging Face
  • Data Science & ML: Data preprocessing, wrangling, EDA, statistical analysis, hypothesis testing, machine learning algorithms, and model evaluation
  • Data Visualization: Python libraries, Tableau, Power BI
  • Specialized Areas: Natural language processing, time series forecasting, Generative AI (including GANs), big data analytics, RAG-based applications, and AI agents
  • Tools & APIs: Streamlit, LangChain API, web scraping (BeautifulSoup, Scrapy, Selenium)

📂 Projects

  • 📘 Amazon's TopBooks Reviews: TfidfVec & CountVec
    • Compared Logistic Regression, SVM, Passive Aggressive Classifier, Random Forest, Naïve Bayes, Multilayer Perceptron, Gradient Boosting Classifier, and KNN models.
    • Applied Random Under-Sampling to address class imbalance.
    • Visualized class distribution and feature importance.
    • Performed hyperparameter tuning to optimize model performance.

  • 📘 Tesla Stock Secrets: Forecasting with GRU | BiGRU
    • Trained GRU and BiGRU models on Tesla stock price data for time series forecasting.
    • Performed residual, seasonality, and trend analysis on opening and closing prices, including yearly breakdowns.
    • Achieved 94% R² score on test, demonstrating model robustness for forecasting.

  • 📘 Gaming Evolution: Exploring videogames (1980-2023)
    • Conducted trend analysis using Seaborn and Plotly, performing comprehensive data cleaning and wrangling.
    • Derived insights based on genre, views, reviews, and playtime.
    • Formulated question–answer pairs from the findings.
    • Visualized growth patterns and genre popularity over time to highlight industry shifts.

🎓 Education

  • Bachelors in Chemistry
    Govt. College University, Faisalabad, Pakistan
    CGPA: 3.96/4.0 (2019 - 2023)

  • FSC Pre-Medical
    Superior Group of Colleges, Jhang, Pakistan
    Marks: 933/1100 (2017 - 2019)

  • Matriculation
    The Educators, Jhang, Pakistan
    Marks: 1027/1100 (2015 - 2017)

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