Hello, I'm

Varundeepak B A

|

MSc Data Science graduate transforming complex datasets into actionable insights through analytics, machine learning, and compelling data storytelling.

Chennai, India UK Graduate Visa until 09/12/2026

01. About Me

I'm a Data Science enthusiast passionate about turning messy datasets into meaningful insights that drive business decisions.

With hands-on experience in predictive modelling, EDA, and interactive dashboards, I bridge the gap between raw data and strategic action. My ~2 years of industry experience spans data engineering fundamentals - ETL, data validation, SQL optimization - providing a strong foundation for scalable, high-quality analytics.

I thrive in roles involving modelling, insights generation, dashboarding, and measurable business impact. Currently seeking opportunities in Data Science/Analytics where I can leverage my technical skills to solve complex problems.

~2 Years Experience
2 Companies
6 Certifications
1M+ Records Processed

02. Technical Skills

Data Analysis & Visualization

SQL Excel Tableau Qlik Sense Power BI Dashboarding Data Storytelling Stakeholder Communication

Data Science & Machine Learning

Python pandas NumPy scikit-learn matplotlib Feature Engineering EDA Regression Classification Supervised and Unsupervised ML Time Series Hugging Face (NLP) Model Evaluation

Data Engineering Foundations

ETL AWS S3 AWS RDS AWS Glue AWS Redshift PostgreSQL Snowflake BigQuery Databricks PySpark Data Warehousing Data Cleaning

03. Work Experience

Qlik Sense Intern

SmartInternz

Apr 2024 – Jun 2024 India
  • Built interactive Qlik Sense dashboards revealing key factors contributing to road accidents in India, enabling targeted safety recommendations
  • Developed data-driven storytelling presentation transforming 10,000+ accident records into actionable insights, receiving top assessment scores
Qlik Sense Data Visualization Storytelling

Programmer Analyst

Cognizant

Jan 2022 – Feb 2023 India
Promoted from Trainee to Analyst in Jan 2023
  • Worked on Power BI dashboard components consolidating data from multiple sources to identify KPIs and analyse trends
  • Collaborated with cross-functional business stakeholders to design analysis approaches and deliver data-driven solutions
  • Implemented staging tables and optimised data warehouse models, improving ETL and migration performance by 25%
  • Built data pipelines across AWS services (S3, RDS, Glue) reducing manual processing by more than 50%
Power BI AWS ETL Data Warehousing

Associate Analyst

Rudder Analytics

Aug 2021 – Dec 2021 India
  • Processed and analysed 1M+ daily records, identifying data quality issues and behavioural patterns impacting client reporting
  • Improved dataset accuracy through handling of missing and inconsistent values, supporting stronger analytical outcomes
  • Collaborated with BI teams to prepare datasets for dashboarding and trend analysis using SQL, Excel and ETL processes
  • Engineered complex SQL logic across multiple systems to support analytical workflows and client insights delivery
SQL Snowflake BigQuery ETL

Machine Learning Intern

Smartbridge Educational Services

Jun 2019 – Jul 2019 India
  • Developed breast cancer prediction model achieving 95% accuracy using Python and scikit-learn
  • Deployed a real-time diagnostic application with IBM Watson and Node-RED
Python scikit-learn IBM Watson

04. Education

M.Sc - Data Science

2:1 (Merit)

University of Edinburgh

Edinburgh, UK

Sep 2023 – Aug 2024

Coursework: Applied Machine Learning, Data Management, Database Systems, AI Ethics, HR Management

Dissertation: A Usability Study of Marked Types in PostgreSQL - Usability testing of "Marked Nulls" implementation to derive actionable UX insights

B.Tech - Information Technology

9.28/10 CGPA

Sona College of Technology

Salem, India

Aug 2017 – May 2021

First Class with Distinction

Final Project: Full Stack SAP-based ERP System

05. Featured Projects

Time Series Forecasting

Rossmann Store Sales Forecasting

End-to-end time series solution modelling retail sales using ARIMA, SARIMA, and Prophet. Merged 1M+ transaction records across 1,115 stores with metadata for comprehensive analysis.

  • SARIMA achieved best performance (MAPE ~3.4%)
  • Identified ~40% promo uplift through EDA
  • Full seasonal decomposition & stationarity testing
Python pandas ARIMA SARIMA Prophet
Natural Language Processing

Amazon Review Sentiment Analysis App

Interactive sentiment analysis application for Amazon product reviews. End-to-end development from ideation to public deployment on Hugging Face Spaces.

  • RoBERTa model for positive/negative/neutral classification
  • Single review & batch CSV upload support
  • Deployed to Hugging Face Spaces for public access
Python Hugging Face Transformers Gradio pandas
Classification

Churn Prediction

End-to-end machine learning solution predicting customer churn for a telecom provider using supervised models. Processed customer records with demographic, service usage, and billing attributes to uncover churn drivers and build a high-recall predictive model.

  • Logistic Regression delivered best performance (Recall for churners: 57%, ROC-AUC: 0.836)
  • Key churn factors - month-to-month contracts, high monthly charges, and early-tenure customers
  • Comprehensive preprocessing including encoding, scaling, missing-value handling, and stratified splitting
  • ~2× higher churn likelihood among new customers (<12 months tenure)
Python pandas EDA Feature Engineering Logistic Regression Random Forest XGBoost
Data Visualization & Analytics

Sample Superstore Business Dashboard

Interactive Tableau dashboard providing comprehensive business insights with KPIs tracking sales, profit, and order trends across multiple dimensions.

  • Multi-dimensional analysis: regions, categories, time periods
  • Interactive filters, parameters, and drill-downs
  • Published to Tableau Public for online sharing
Tableau Data Visualization Business Intelligence
Data Visualization & Analytics

Qlik Analysis of Road Safety in India

Comprehensive analysis of road accident causes and patterns in India, combining multiple datasets to generate actionable safety insights.

  • Multi-dataset integration for comprehensive analysis
  • Dynamic visualizations based on user selections
  • Pattern identification for targeted recommendations
Qlik Sense Data Analytics Data Visualization

06. Certifications

Google Data Analytics

Google on Coursera

Tableau

Tableau Desktop Specialist

Tableau

Azure Data Fundamentals

Microsoft

Azure AI Fundamentals

Microsoft

Azure Fundamentals

Microsoft

Introduction to Programming using Python

Microsoft Technology Associate

07. Get In Touch

I'm currently looking for new opportunities in Data Science and Analytics. Whether you have a question or just want to say hi, feel free to reach out!