---
title: "Chethak T K - Data Science Intern in Bengaluru | Tal"
description: "Meet Chethak T K, Aspiring Data Analyst & Data Scientist | Transforming Raw Data into Smart Decisions | Python | SQL | Machine Learning | Deep Learning | Power BI | Tableau | MongoDB | Streamlit | Insight-Driven Problem Solver based in Bengaluru."
image: "https://tal.club/meet/chethak-t-k/share-image"
---

# Chethak T K on Tal

## Headline

Aspiring Data Analyst & Data Scientist \| Transforming Raw Data into Smart Decisions \| Python \| SQL \| Machine Learning \| Deep Learning \| Power BI \| Tableau \| MongoDB \| Streamlit \| Insight\-Driven Problem Solver

## Location

Bengaluru

## Work experience

Data Science Intern at Ai Variant, Aug 2025 \- Oct 2025 · 3 mos, Bengaluru, Karnataka, India, Data Science Intern — AI Variant • Performed data cleaning, feature engineering, statistical analysis, and data visualization\. • Trained, tuned, and evaluated machine learning models to improve prediction accuracy and reliability\. • Worked on stock market forecasting using SARIMA and machine learning techniques\. • Prepared analytical reports and insights to support internal decision\-making\. Project: Apple Stock Price Prediction \(30\-Day Forecasting\) • Developed time\-series forecasting models using ARIMA, SARIMA, and Random Forest on Apple stock data\. • Conducted trend analysis, visualization, and performance evaluation using RMSE and MAPE\. • Built and deployed an interactive Streamlit dashboard for real\-time stock price predictions\. • Tech Stack: Python, Pandas, NumPy, Stats models, Scikit\-learn, Streamlit

Ai\-Data Science Intern at AiROBOSOFT Products And Services, Jan 2025 \- May 2025 · 5 mos, Bengaluru, Karnataka, India, AI & Data Science Intern — Airobosoft • Performed EDA, data preprocessing, visualization, and machine learning model development on multiple datasets\. • Worked with regression, classification, and forecasting algorithms for real\-world problems\. • Assisted in automation pipelines and integrated model outputs into dashboards\. • Collaborated in agile, real\-time AI project workflows\. Customer Segmentation Using Machine Learning \(Project\) • Applied K\-Means and Hierarchical Clustering to segment customers based on purchasing behavior\. • Conducted EDA, outlier treatment, feature scaling, and PCA to improve clustering quality\. • Generated actionable insights to support targeted marketing and customer retention\. • Tech Stack: Python, Pandas, NumPy, Scikit\-learn, Matplotlib, Seaborn

## Education

Bachelor's degree, Data Science, Vivekananda College of Engineering & Technology, Puttur

PUC\- PCMB, Narendra PU college

[View the original profile](https://tal.club/meet/chethak-t-k)

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