I thrive on structuring raw data into actionable insights.
I clean, preprocess, and analyze datasets to uncover patterns, build predictive models, and drive strategic decisions.
My work bridges exploration and execution, transforming data into powerful business solutions
</AboutMe>
I’m Earuva Teja, a B.Tech Computer Science Engineering graduate (May 2025) from Kakatiya University College of Engineering and Technology (KUCET), with a strong foundation in programming, data handling, and analytical problem-solving.
My core expertise lies in Python, SQL, TensorFlow, and statistical modeling—skills I’ve applied through hands-on projects in regression analysis, predictive modeling, and large-scale data processing. Through the IBM Data Science Professional Certificate (via Simplilearn), I’ve built end-to-end ML solutions that extract actionable insights from real-world datasets.
Alongside my academic journey, I’ve developed practical knowledge in C, Java, databases, and computer networks, enabling me to understand both system-level and data-level challenges. I’m actively upskilling in generative AI and advanced analytics via Coursera and Simplilearn to stay ahead in this fast-evolving field.
With a mindset grounded in both data science and data analysis, I thrive on uncovering insights that drive smart decision-making. From optimizing processes to creating data dashboards or building models, I aim to deliver measurable business value through data.
I’m now eager to join forward-thinking teams as a Data Scientist or Data Analyst, where I can contribute meaningfully, grow continuously, and help solve impactful real-world problems through data.
Instead of creating an online Concepts Art website, i started
enjoying web development. Creating custom things for web taught
me a lot about design & development!
My main focus these days is building interesting & creative web
designs, I like to code things from scratch, and enjoy bringing
ideas to life in the browser.
</Skills>
Tech Stack
PYTHON
JAVA
NUMPY
PANDAS
TENSORFLOW
MATPLOTLIB
SEABORN
TABLEAU
POWERBI
MYSQL
MONGODB
JUPYTER NOTEBOOK
ML & AI
HTML
CSS
JS
REACT
GITHUB
C
ADOBE PS
MICROSOFT SUITE
Data Bricks
PySpark
</Projects>
Data Science & ML
• Flight Fare Prediction: Built a regression model to predict flight ticket prices, achieving an R² score of 0.96 .
• Car Price Prediction: Pre-processed used car listings and trained a regression model to estimate car prices.
• House Price Prediction: Processed housing data and developed a machine learning model to estimate property values using regression techniques.
• Employee Performance Analysis: Utilized MySQL queries to assess employee productivity, determine department-wise
efficiency, and identify areas for performance enhancement.
• Air Cargo Analysis: Conducted SQL-based analysis on passenger and ticket data to identify busiest routes, customer trends,
and revenue insights for airline optimization.
• Tesla Stock Price Analysis: Designed a Tableau dashboard to track Tesla’s daily stock prices, trends, and moving averages
• UT Mart Sales Analytics: Created interactive visualizations to analyze top-selling products.
• Amazon Shipping Analytics: Developed Tableau charts to assess on-time delivery rates and regional transit performance.