Hari Vignesh S

Entry-level Data Scientist · Machine Learning & Data Analysis

Bengaluru, Karnataka, India

@harivignesh39_vignesh39

0 followers

About

Entry-level data scientist with hands-on experience in machine learning, regression, clustering, NLP, and predictive modeling. Strong foundation in Python, SQL, statistical analysis, data preprocessing, feature engineering, and model evaluation, with experience building Streamlit-based analytics applications.

Experience

Data Science Intern

ExcelR · Bengaluru

Aug 2023 – Jan 2024

Performed EDA and statistical analysis on real-world datasets using Python, Pandas, and NumPy; developed and evaluated supervised ML models using Scikit-learn and XGBoost; implemented clustering algorithms; and created analytical visualizations while maintaining project code using Git and GitHub.

Education

2023

B.E.

Hindusthan College of Engineering & Technology

Electronics and Communication Engineering (ECE) · Jun 2019 – Apr 2023

Electronics and Communication Engineering (ECE) · Jun 2019 – Apr 2023

Skills

6 to 12 months

Machine Learning Feature Engineering

<3 months

SQL NumPy Python Pandas XGBoost K-Means Data Cleaning Random Forest Decision Trees Cross Validation Linear Regression Data Visualization Hypothesis Testing Statistical Modeling Correlation Analysis Support Vector Machine Natural Language Processing Principal Component Analysis Logistic Regression ( in progress )

Tools / apps / platforms

6 to 12 months

Git GitHub

Projects

Customer Segmentation – Clustering Analysis

Python, Pandas, NumPy, PCA, K-Means, Agglomerative Clustering, DBSCAN, Gaussian Mixture Models, Streamlit

Developed an unsupervised learning pipeline to identify customer segments, evaluate clustering approaches, and visualize cluster characteristics in Streamlit.
House Price Prediction – Regression Analysis

Python, Pandas, NumPy, Scikit-learn, XGBoost, Streamlit

Built an end-to-end regression pipeline to predict residential property prices, with data cleaning, feature engineering, model comparison, and a Streamlit app for real-time predictions.

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