---
title: "Sidhanta Behera - Data Analyst in Cuttack | Tal"
description: "Meet Sidhanta Behera, Aspiring Data Analyst|SQL|Python|PowerBI based in Cuttack."
image: "https://tal.club/meet/sidhanta/share-image"
---

# Sidhanta Behera on Tal

## Headline

Aspiring Data Analyst\|SQL\|Python\|PowerBI

## About

Graduated with a Bachelor of Commerce from Christ College, Cuttack, and earned a Google Data Analytics Professional Certificate and IBM SQL certification\. Developed a strong foundation in data analysis, databases, and SQL tools through professional training and academic achievements\. Worked as a Data Analyst at SkillFied Mentor, where the team analyzed the Bank Marketing dataset to predict term deposit subscriptions using Python and machine learning models\. Contributed to data cleaning, exploratory data analysis \(EDA\), and feature engineering, while leveraging Random Forest for optimal prediction accuracy\. Proficient in SQL, Pandas, and data analytics, with a goal to transform data into actionable insights\.

## Location

Cuttack

## Work experience

Data Analyst at SkillFied Mentor, May 2025 \- Jul 2025 · 3 mos, Remote, Analyzed the Bank Marketing dataset to predict whether a will subscribe to a term deposit using Python and machine learning\. Performed data cleaning, EDA, and feature engineering to prepare the data, then trained and evaluated Logistic Regression, Decision Tree, and Random Forest models\. The Random Forest classifier achieved the highest accuracy and AUC\. Key insights showed that call duration, contact method, and previous campaign outcomes were the strongest predictors, with peak campaign effectiveness observed in May and August\.

Data Specialist at SkillFied Mentor, May 2025 \- Jul 2025 · 3 mos, Completed a 3\-month project internship focused on real\-world data analytics tasks\. Performed data cleaning, EDA, and feature engineering for Bank Term Deposit Subscription Prediction project\. Trained and evaluated Logistic Regression, Decision Tree, and Random Forest models\. Random Forest achieved highest Accuracy and AUC score\. Identified key predictors: call duration, contact method, and previous campaign outcomes\. Found peak campaign effectiveness in May and August\. Tools Used: Python, Pandas, NumPy, Scikit\-learn, Seaborn, Matplotlib\.

## Education

Google Data Analytics Professional Certificate, Data Analytics, Coursera

SQL, IBM, SQL

[View the original profile](https://tal.club/meet/sidhanta)

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