Bhevanesh Naidu | Data Scientist

// 01. about_me

Who Am I?

🧑‍🎓

$ whoami

I'm Bhevanesh Naidu, a B.Tech student at Gandhi Institute of Technology and Management (GITAM), Andhra Pradesh. Passionate about Data Science and Python — turning raw data into meaningful insights through analysis, visualization, and machine learning.

📍 Andhra Pradesh, IN🎓 GITAM University📊 Data Science🐍 Python Dev

💡

$ interests

Data analysis, machine learning basics, data visualization, Python scripting, and finding hidden patterns in real-world datasets.

🎯

$ goals

To become a skilled Data Scientist — mastering ML algorithms, statistical analysis, and building data-driven solutions.

// 02. tech_stack

My Skills

💻 Programming

Python65%

SQL45%

📊 Data Science Libraries

NumPy60%

Pandas60%

Matplotlib55%

Seaborn50%

🤖 Machine Learning

Scikit-learn50%

Statistics45%

🛠️ Tools

Jupyter Notebook60%

Google Colab45%

Git and GitHub40%

// 03. projects

My Projects

Hover over cards to flip and see full details

🚢

01

Titanic Survival Prediction

Predicted passenger survival using logistic regression with EDA and feature engineering.

PythonPandasScikit-learn

Titanic Survival Prediction

Built logistic regression model on Titanic dataset. Full data cleaning, feature engineering and EDA to achieve accurate classification results.

PythonPandasScikit-learnSeaborn

🏠

02

House Price Prediction

Linear regression model predicting house prices based on area, bedrooms and location.

PythonNumPyScikit-learn

House Price Prediction

Built a linear regression pipeline predicting house prices. Includes data cleaning, outlier removal, feature scaling and rich visualizations.

PythonNumPyScikit-learnMatplotlib

🏏

03

EDA — IPL Dataset

Explored IPL cricket data revealing top batsmen, winning trends and venue insights.

PythonPandasSeaborn

EDA — IPL Dataset

Deep exploratory analysis on IPL cricket dataset. Identified top players, team win rates, toss impacts and stadium-wise performance patterns.

PythonPandasSeabornMatplotlib

📊

04

Student Performance Analyser

Reads student CSV data, calculates grades and plots subject-wise performance charts.

PythonPandasCSV

Student Performance Analyser

Python tool reading marks from CSV, computing averages and letter grades, and generating subject-wise bar charts and performance summaries automatically.

PythonPandasMatplotlibCSV

🌸

05

Iris Flower Classification

KNN and decision tree classifier for iris species with decision boundary visualization.

PythonScikit-learnKNN

Iris Flower Classification

Used KNN and Decision Tree to classify iris species. Visualized decision boundaries, confusion matrices and compared accuracy scores across models.

PythonScikit-learnSeabornKNN

🦠

06

COVID-19 Data Dashboard