EcoDataAnalytics

Environmental Intelligence Through Data

The Problem We Want To Solve

Environmental data is vast, unstructured, and highly multidimensional scattered across climate stations, satellite imagery, and biological observations.
The challenge was to combine climate and ecological datasets (e.g., temperature, precipitation, wind speed, land cover, and migration patterns) to identify measurable trends and build models capable of predicting future ecological shifts under changing climate conditions.

🔎 Overview

EcoDataAnalytics is a full-cycle environmental data analytics and machine learning project designed to uncover how climate variables influence ecological patterns such as species migration, habitat change, and biodiversity distribution.

Built from the ground up using Python, SQL, Tableau, and advanced ML algorithms, this project demonstrates my ability to integrate multi-source environmental datasets, perform complex analyses, and communicate insights through interactive dashboards and visual storytelling.

Data Sources

NOAA Climate Data: Historical temperature, humidity, wind speed, and precipitation metrics
MODIS Satellite Imagery: Land cover and vegetation index data for habitat classification
eBird Dataset: 1M+ records of bird species observations (arrival/departure timing, location)
Custom Derived Features: Migration distance, route complexity, stopover density, habitat loss index

Curious to see how everything comes together?
You can check out our Full Project Implementation — it includes step-by-step workflows, data preprocessing, model results, and visual dashboards.
👉 Click here to view or download

💫Our Team

We’re more than just teammates — we’re innovators driven by curiosity, collaboration, and data. Together, we transformed raw climate and ecological data into actionable environmental insights.

Turning climate data into insight and impact — our full project report on how changing weather patterns shape bird migration. 🌍 📈 CLICK HERE

Siri Yellu
M.S. Computer Science (Data Science Concentration), Kennesaw State University

Hi, I’m Siri Yellu a curious mind who loves turning raw data into meaningful stories. I’m passionate about using AI, analytics, and machine learning to uncover insights that make a real-world impact, from climate change research to finance and healthcare, and all other areas of technology innovation.
LinkedIn | GitHub

Saketh Tatipally
M.S. Information Technology (AI & Data Analytics Concentration), Kennesaw State University

Hi, I’m Saketh Tatipally a passionate Software Engineer and AI enthusiast who loves turning ideas into intelligent, data-driven products. I thrive on solving real-world problems through clean code, smart analytics, and automation.

I’m currently exploring full-time opportunities where I can grow, build, and make an impact.
LinkedIn | GitHub

Gnana Prakash Reddy
M.S. Information Technology (AI & Data Analytics Concentration), Kennesaw State University

Hi, I’m Gnana Prakash Reddy, a passionate data enthusiast currently pursuing my Master’s in Information Technology at Kennesaw State University. I’m deeply interested in how data can uncover insights, tell stories, and guide smarter decisions across industries.

I love working with analytics, predictive modeling, and machine learning, turning raw data into meaningful outcomes. Skilled in Python, SQL, Power BI, and Scikit-learn, I aim to grow as a data-driven problem solver who blends technical skill with curiosity and creativity to make a real impact.

Akshay Krishna Varma Buddharaju

M.S. Computer Science (Data Science Concentration), Kennesaw State University

Hi, I’m Akshay Krishna Varma, a passionate Software Engineer and AI enthusiast currently pursuing my Master’s in Computer Science at Kennesaw State University. I’m driven by a curiosity to build systems that make technology smarter, faster, and more human.

With experience as a Software Engineering Intern at Home Depot and Graduate Research Assistant, I enjoy working on real-world challenges involving AI, machine learning, and scalable software development. I love blending creativity with engineering precision to turn complex problems into elegant, data-driven solutions.

LinkedIn | GitHub

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