📊 Available for Opportunities

Mohan S

SQL · Python · Machine Learning · Tableau · Business Intelligence

Transforming raw business data into actionable insights using analytics, machine learning, and visualization tools that drive measurable outcomes.

View Projects → Download Resume GitHub LinkedIn

Customer Churn Prediction Model

87.4%

Model Accuracy · Scikit-learn · Python

Identifies high-risk customers before they churn, enabling proactive retention strategies through predictive ML segmentation.

Fraud Detection System · Explainable AI

98.2%

Fraud Detection Rate · XGBoost · SHAP · SMOTE

Robust ML pipeline detecting fraud in highly imbalanced transaction data with SHAP-powered explainability for regulatory transparency.

Heart Disease Analysis · Healthcare Analytics

92.1%

Recall Rate · SQL · Tableau · Clinical KPIs

Clinical risk factor analysis with interactive Tableau dashboards surfacing key patterns that support preventive healthcare decisions.

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📊 Analytics

🤖 Machine Learning

📈 Insights

Projects

Tools

10+

Certifications

Capable

About Me

Data Analyst

Turning data into actionable business insights through analytics, machine learning, and visualization.

I bridge the gap between raw data and business decisions by transforming complex datasets into actionable insights. My approach combines analytical thinking with business context — focusing not just on what the data shows, but what decisions it can support.

I have hands-on experience across the end-to-end analytics workflow, including data cleaning, exploratory analysis, predictive modeling, visualization, and dashboard development. Every project I build is centered around a key business question and measurable outcomes.

My technical toolkit includes SQL, Python, machine learning, and modern BI platforms. Through academic and personal projects, I have worked on healthcare analytics, HR workforce insights, fraud detection, customer churn prediction, and NLP-based sentiment analysis.

End-to-end analytics workflows from raw data to interactive dashboards
Predictive modeling using XGBoost, LightGBM, scikit-learn, and SHAP explainability
Data storytelling with Tableau, Power BI, and Looker Studio
Business-focused insight generation and decision support
Projects across healthcare, finance, HR, and e-commerce domains

Work History

Experience

Internships and virtual experience programs that shaped my analytics and development skills.

XYlofy AI

AI & Data Analyst Intern

Apr 2026 – May 2026

Remote · 4-Week Internship

Gained practical experience in Artificial Intelligence, Machine Learning, Data Analysis, and Data Visualization in a startup AI environment.
Applied data-driven decision-making techniques to real-world AI use cases; demonstrated analytical thinking and commitment to delivering actionable insights.
Completed end-to-end weekly projects including Sentiment Analysis, Customer Churn Prediction, and Fraud Detection System with Explainable AI.

SmartBridge Educational Services Pvt. Ltd

Data Analytics Intern

Oct 2025 – Mar 2026

Virtual · 240-hour Long-Term Internship · APSCHE–JNTUA Collaboration

Completed a 240-hour structured internship on Data Analytics with Tableau, covering end-to-end data analysis workflows, dashboard creation, and stakeholder reporting.
Applied EDA, KPI development, and data visualization techniques to real-world datasets across multiple business domains using Python and SQL.

CODTECH IT Solutions

Python Programming Intern

Aug – Oct 2025

Remote

Developed Python scripts for data processing and automation; built reusable utility modules for file I/O and data transformation pipelines, reducing repetitive code by ~40%.
Strengthened proficiency in data wrangling, scripting, and code structuring following software engineering best practices.

CODTECH IT Solutions

Full Stack Web Development Intern

Dec 2024 – Jan 2025

Remote

Built and deployed web application features with responsive UI components and RESTful API integration; improved cross-device load consistency by 30%.

Capabilities

Technical Skills

A structured, end-to-end approach to solving business problems with data — from ingestion to insight delivery.

Languages

PythonSQL (MySQL)

Data Analysis & Cleaning

PandasNumPyMatplotlibSeabornPlotlyMicrosoft ExcelData WranglingData Cleaning

ML Libraries

Scikit-learnXGBoostLightGBMSHAPSMOTE

Visualization & BI

TableauPower BIGoogle Looker StudioStreamlit

Database

MySQLMySQL Workbench

Tools & Platforms

GitGitHubFlaskJupyter NotebookGoogle Colab

Analytics

EDAKPI DevelopmentData ModelingETLStatistical AnalysisNLPStakeholder Reporting

Work

Featured Projects

End-to-end analytics case studies focused on solving real business problems and delivering measurable insights.

Predictive Analytics · Machine Learning

Customer Churn Prediction & Risk Segmentation

Business Problem: Businesses lose significant revenue from customer churn without early warning signals. This project builds a predictive ML system to identify high-risk customers before they leave, enabling proactive retention strategies.

Predictive Accuracy 87.4%Risk SegmentationRetention InsightsChurn Analysis

PythonPandasNumPyScikit-learnMatplotlibGoogle Colab

GitHub → Case Study View Charts

Financial Analytics · Explainable AI · Class Imbalance

Fraud Detection System with Explainable AI

Business Problem: Financial institutions face massive losses from sophisticated fraudulent transactions. This project builds a robust ML pipeline to detect fraud in highly imbalanced data while using Explainable AI (SHAP) to explain why a transaction was flagged — providing both accuracy and regulatory transparency.

Fraud Detection Rate 98.2% False Positive Reduction Model Transparency (SHAP)

PythonXGBoostLightGBMSHAPSMOTEFlask

GitHub → Case Study View Charts View Analysis →

Healthcare Analytics · Visualization

Heart Disease Analysis

Business Problem: Identifying the key clinical risk factors driving heart disease to support preventive healthcare decisions through interactive KPI dashboards.

Risk FactorsKPI DashboardsRecall 92.1%

SQLMySQLTableauFlask

GitHub → Case Study Live Dashboard Tableau Story

SQL Analytics · HR Intelligence

HR Employee Attrition Analysis

Business Problem: High employee turnover is costly. This SQL-driven analysis surfaces attrition patterns, departmental trends, and KPIs to help HR teams intervene proactively.

Turnover RateDept. AnalysisWorkforce KPIs

SQLMySQLData Modeling

GitHub → Case Study

Business Intelligence · Banking

AI Bank Churn Analytics

Business Problem: Banking institutions face silent churn — customers who disengage before leaving. This analysis identifies behavioral signals indicating early churn risk.

Behavioral PatternsChurn SignalsRetention Ops

PythonPandasNumPyMatplotlib

GitHub → Case Study

NLP Analytics · Consumer Insights

Sentiment Analysis on Product Reviews

Business Problem: Understanding customer sentiment at scale. This NLP pipeline classifies thousands of product reviews to surface brand perception trends and improvement areas.

Sentiment ScoreBrand PerceptionTrend Analysis

PythonNLPPandasData Cleaning

GitHub → Case Study

Visualization Gallery

Dashboards & BI Work

Interactive dashboards built in Tableau, Looker Studio, and Streamlit to communicate insights visually.

Heart Disease KPI Dashboard

Tableau · Interactive Filters · Risk Scoring

Open in Tableau →

Heart Disease Risk Factors Story

Tableau Story · Visual Narrative · Data Storytelling

Open Story →

Fraud Detection Live App

Streamlit · XGBoost · SHAP · Real-time Prediction

Open Live App →

AI Bank Churn Analytics Dashboard

Google Looker Studio · KPI Tracking · Churn Insights

Open in Looker Studio →

Credentials

Certifications

Industry-recognized certifications and job simulations across analytics, BI, and data science domains.

📊 Data Analytics

Career Essentials in Data Analysis — Microsoft & LinkedIn
Intro to Career Skills in Data Analytics
Business Analytics with Excel

🗄️ SQL & Python

SQL and Relational Databases 101 — IBM
Python 101 for Data Science — IBM

📈 Visualization Tools

Power BI for Beginners — Simplilearn
Tata Data Visualization Job Simulation

💼 Job Simulations

JP Morgan — Quantitative Research Virtual Experience
Deloitte — Data Analytics Virtual Experience
Quantium — Data Analytics Virtual Experience
Tata — GenAI Powered Data Analytics

🏢 Business Analytics

Business Analytics with Excel — Simplilearn

🤝 Industry Partners

JP Morgan Chase & Co.
Tata Consultancy Services
Deloitte
Quantium

🎓 Education

B.Tech – Computer Science Engineering (CSE)

Siddharth Institute of Engineering & Technology, Puttur

Specialization: IoT, Cybersecurity & Blockchain

Sept 2022 – May 2026

Resume

Download Resume

📄

Mohan S — Data Analyst Resume

A business-focused resume highlighting analytics projects, ML capabilities, and BI tool expertise — optimized for recruiter ATS systems.

Key Highlights

✓ Fraud Detection — 98.2% accuracy with XGBoost, LightGBM, SHAP & Flask
✓ Customer Churn Prediction — 87.4% accuracy with Scikit-learn ML pipeline
✓ Heart Disease Analysis — 92.1% recall, Tableau KPI dashboards
✓ 240-hour Data Analytics Internship — SmartBridge (APSCHE–JNTUA)
✓ 5 Industry Simulations — JPMorgan, Tata, Deloitte, Quantium
✓ 10+ Certifications — IBM, Microsoft, Simplilearn
✓ Tools: SQL · Python · XGBoost · LightGBM · SHAP · Tableau · Power BI · Looker Studio

Download Resume PDF →

Mohan S

Data Analyst

Experience

Technical Skills

Featured Projects

Dashboards & BI Work

Certifications

GitHub Activity

Download Resume

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