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Upskilling myself | Learning the art of Data Science
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Upskilling myself | Learning the art of Data Science
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varun6299/README.md

Hi, I'm Varun Sagar Theegala 👋

Data Science Graduate | AI/ML Enthusiast | Technical Problem Solver

🟦 About Me

I'm currently pursuing a Master’s in Data Science (AI/ML specialization) at Deakin University, with hands-on focus on applied machine learning, deep learning, generative AI, and cloud-based solutions. My journey centers on using cutting-edge tools and algorithms to unlock insights, automate processes, and drive innovation—across domains.

I enjoy experimenting, open-source collaboration, and sharing insights with the global data community. My professional philosophy is to build solutions that are practical, scalable, and empower confident decision-making.

💼 Professional Experience

Alongside my studies, I work as an Associate Consultant in Product Analytics at Eli Lilly, with 4 years+ experience in delivering data-driven solutions and analytical products that enhance efficiency, standardize processes, and drive impactful business outcomes.

🛠️ Technical Skills

  • Languages & Libraries: Python, Pandas, Scipy, Scikit-Learn
  • Machine Learning & AI Frameworks: TensorFlow, Keras, Deep Learning, Artificial Intelligence, Machine Learning
  • Natural Language Processing/Generative AI: Hugging Face, Transformer, LangChain
  • Data Engineering & Cloud: SQL & Databricks
  • Visualization/UI: Gradio, Tableau, Power BI, OpenCV
  • Additional Tools: Jira, GitHub, Microsoft Office Suite

📚 Master’s Program Highlights

  • Built real-world data science and machine learning projects using 20+ tools and libraries
  • Hands-on with transformer models, generative AI, NLP, and prompt engineering
  • Prototyped end-to-end ML pipelines in Python, SQL, and cloud environments
  • Gained exposure to big data processing and scalable analytics
  • Collaborated in global, cross-disciplinary teams

🚀 Interests & Current Focus

  • Building innovative ML/AI tools and demos with state-of-the-art frameworks
  • Hands-on projects in generative AI, computer vision, NLP, and cloud analytics
  • Exploring open source solutions and contributing to the data science community
  • Seeking opportunities to apply advanced analytics and AI in diverse industries

📫 Connect With Me

LinkedIn
Email

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  1. Backorder-Predictor Backorder-Predictor Public

    An end-to-end E-Commerce backorder solution was created as a part of the Data Science Project Internship with iNeuron.ai.

    Jupyter Notebook 1

  2. OneDeal---Automobile-E-commerce-web-application OneDeal---Automobile-E-commerce-web-application Public

    A project created using Python, Machine Learning (Regression Model Building), HTML, CSS and deployed using Flask and Heroku.

    Jupyter Notebook

  3. Predicting-the-Existence-of-a-Startup Predicting-the-Existence-of-a-Startup Public

    A Machine Learning project to build a classification model to predict the survival or acquisition of a Startup.

    Jupyter Notebook

  4. Trip-Advisor-Hotel-Review-Analysis-Sentiment-Prediction Trip-Advisor-Hotel-Review-Analysis-Sentiment-Prediction Public

    A NLP cum Machine Learning Project which involves building a predictive Classification model and Review Analysis

    Jupyter Notebook

  5. Predicting-Personal-Loan-Conversions-Targeted-Marketing-Model-for-AllLife-Bank Predicting-Personal-Loan-Conversions-Targeted-Marketing-Model-for-AllLife-Bank Public

    HTML

  6. Easy-Visa---Predicting-Visa-Application-Approval Easy-Visa---Predicting-Visa-Application-Approval Public

    End-to-end machine learning project to predict U.S. visa case approvals and denials. Covers exploratory data analysis, feature engineering, and handling class imbalance with SMOTE. Compares Decisio…

    Jupyter Notebook