rishabh1882/insurance-prediction-model

A GitHub repository hosting an insurance prediction model employing Decision Tree, Random Forest, and KNN algorithms, with KNN achieving the highest accuracy score of 87.7% and tested for response on unseen data.

💫 About Me:

👋 Hello, I'm Rishabh Verma!

I hold an MBA in Marketing from the Institute of Engineering and Technology, Lucknow and bring a unique blend of business acumen and technical skills to the table. With a strong foundation in marketing and recent experience as an Account Health Support Analyst at Amazon, Hyderabad, I have successfully leveraged tools such as SQL, Advanced Excel, and Tableau to drive data-driven decision-making.

• 🏢 Currently exploring new opportunities in the field of Data Science or Data Engineering.
• 🚀 Former Account Health Support Analyst at Amazon, Hyderabad.
  
  

🚀 Technical Skills

- 💻 Proficient in Python, SQL, and Advanced Excel.
- 📊 Skilled in data visualization tools such as Power BI and Tableau.

🌱 Learning Journey

- 📈 Actively pursuing a career transition into Data Science and Data Engineering.
- 📚 Constantly learning and staying updated on the latest developments in the field.

🎯 Career Goals

My journey in the intersection of business and technology has been both exciting and transformative. Looking forward, my career goals are centered around leveraging my unique blend of business acumen and technical expertise to make a meaningful impact in the field of Data Science and Data Engineering.

1. Mastering Data Science Techniques: I am committed to honing my skills in Data Science, delving deeper into machine learning, statistical analysis, and predictive modeling. I aim to become proficient in advanced algorithms, staying at the forefront of technological advancements in the ever-evolving field of data.

2. Contributing to Business Intelligence: With a background in Marketing and an MBA in Marketing from the Institute of Engineering and Technology, I aspire to bring a strategic and data-driven approach to business intelligence. My goal is to utilize data analytics to enhance decision-making processes, optimize marketing strategies, and drive business growth.

3. Continuous Learning and Innovation: The tech landscape is dynamic, and I am dedicated to continuous learning. Whether it's exploring emerging technologies, participating in data science competitions, or collaborating on open-source projects, I am committed to staying curious and innovative.

4. Transitioning to Data Engineering: Alongside Data Science, I am keen on exploring the realm of Data Engineering. I aim to enhance my skills in building robust data pipelines, optimizing data architecture, and ensuring the seamless flow of data for effective analysis.

5. Contributing to the Community: As my knowledge and expertise grow, I look forward to giving back to the community. This includes sharing insights, participating in knowledge-sharing forums, and mentoring aspiring data professionals.

Through these goals, my vision is to be a versatile and impactful professional, contributing to the synergy between data and business strategy. I am excited about the challenges and opportunities that lie ahead and am open to collaborations that align with these aspirations.

🌐 Socials:

Contact

📱[phone] 📧[email protected]

💻 Tech Stack:

📊 GitHub Stats:

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