Greetings! I'm a Data Science explorer and machine learning enthusiast with a passion for solving complex problems through data-driven insights. Currently, I’m diving deep into a Master's in Data Science in Sweden, building on the foundation laid during my Bachelor of Engineering from VTU.
Over the course of my journey, I’ve had the incredible opportunity to intern at Egnyte for 3 months, where I tackled real-world data challenges. I’m also proud to have contributed to the broader data science community by publishing research papers in IEEE journals, further showcasing my dedication to innovation and learning.
I'm always on the lookout for exciting opportunities to apply my skills, contribute to impactful projects, and collaborate with fellow data enthusiasts. Let's turn ideas into reality together! 🚀
- Programming & Scripting: 🐍 Python, R, SQL, Java, C
- Data Analysis & Wrangling: 🛠️ Pandas, NumPy, Jupyter, Google Colab
- Data Visualization: 📊 Matplotlib, Seaborn, Plotly, Tableau, Power BI
- Machine Learning & AI: 🤖 scikit-learn, TensorFlow, PyTorch
- Other Tools & Platforms: 🛠️ Git, Docker, AWS, Google Cloud
- 🛠️ Tech Used: Python,
- 📘 Summary: Developed a machine learning model to classify the kidney diseases using ML Flow.
- 🛠️ Tech Used: Python, Pandas, Logistic Regression
- 📘 Summary: Predicted customer churn for a telecom company, helping to identify at-risk customers.
- ✨ Highlights: Successfully reduced churn rate by 25%, leading to significant customer retention.
- 🛠️ Tech Used: Python, TensorFlow, Convolutional Neural Networks (CNNs)
- 📘 Summary: Built a deep learning model to classify images into 10 categories.
- ✨ Highlights: Improved model performance with data augmentation and transfer learning techniques.
- Published Research Papers in IEEE Journals 📚
- A Novel Approach for Monitoring the Freshness of Vegetables Under Storage Using Internet of Things and Machine Learning in Varying Temperature Conditions
Published in: IEEE, Year:2023 - Exploring the Cosmos with Machine Learning: Advancements in Astronomical Data Processing
Published in: IEEE, Year:2024
- A Novel Approach for Monitoring the Freshness of Vegetables Under Storage Using Internet of Things and Machine Learning in Varying Temperature Conditions
🔗 Let's connect! I’m always happy to discuss data science, machine learning, or any interesting projects. Feel free to reach out to me at:
- 📧 Email: vg71276@gmail.com
- 💼 LinkedIn: linkedin.com/in/varun-gurupurandar-44a181215/
- 🌐 GitHub: github.com/gvarun20
Looking for an exciting opportunity in data science, machine learning, or analytics? I’m open to full-time roles, freelance projects, and collaborations. Let’s connect and make a difference! 🤝
🤖 Fun Fact: Data doesn’t just drive decisions; it drives my passion for growth, learning, and curiosity. Keep Exploring, Keep Innovating! 🚀