Hi there 👋

👋 Hello, I'm Sujith Naik!

🎓 I hold a Bachelor's degree in Engineering and have recently completed a data analytics course at Grate Learning.

My engineering background has instilled in me problem-solving abilities and attention to detail. Fueled by a passion for data, I am transitioning into the field of Data Analytics. My experience as an engineering graduate has sharpened my precision and accuracy, which I am now leveraging to uncover insights, optimize processes, and drive data-driven decisions in my new career path.

📊 Data is my passion, and I'm currently honing my skills in data analytics through a comprehensive course at Great Learnings. My coursework covers a range of tools and languages, including:

Excel
Python for Data Analytics
SQL
Power BI
Tableau
Machine Learning
ETL Tools

🏗️ I'm excited to connect with like-minded individuals who share an interest in the intersection of data and civil engineering. Let's collaborate, learn, and explore how data-driven insights can drive innovation in the construction and infrastructure industry.

📧 Feel free to reach out if you want to connect or discuss opportunities in the fascinating world of data analytics.

Find me on LinkedIn ➡︎ @SujithNaik

Sujith Naik's Projects

analysis-of-bank-debit-collection-and-recovery-strategies

The goal for the data scientist is to determine in this non-random assignment whether the incremental amount the bank earns exceeded the additional cost of assigning customers to a higher recovery strategy.

awesome-cloudnative-trainings

Awesome Trainings from Cloud Native Computing Foundation Projects and Kubernetes related software

datawranglingusingpython

EDA and Data Wrangling using Python language

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

first-of-all

Help beginners to contribute to open source projects

hangman-challenge

Implemented Hangman challenge using Trexquant API with 55% accuracy

learning-content

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

pizza_sales_analytics

Tools used : MS Excel, Power BI, MySQL, DAX Created a dynamic multi-view dashboard in Power BI, connecting directly to SQL Server to analyze sales trends. This enhanced data accessibility, enabling data-driven decisions and contributing to a notable 10% increase in business process efficiency.