Tharun Pranav T — Data Scientist

Curiosity drives me — especially when it comes to discovering what data can reveal. I love exploring patterns, solving analytical problems, and turning raw information into clear, meaningful insights. I’m Tharun Pranav, a Computer Science Engineering undergraduate at KPR Institute of Engineering and Technology, building strong foundations in Python, SQL, Power BI, data cleaning, exploratory data analysis, and basic machine learning concepts. My academic journey has shaped my analytical thinking, problem-solving approach, and interest in real-world data-driven applications. What sets me apart is my eagerness to learn, experiment, and continuously improve. Whether it’s understanding how a dataset behaves, designing clean dashboards, or applying new concepts I learn from platforms like Microsoft Learn, I enjoy every step of the learning process. I believe in sharing my work openly, staying consistent, and growing with every project I take up. Looking ahead, I aspire to become a Data Scientist after graduation, contributing to impactful data solutions and building models that support better decisions. I aim to work on opportunities that challenge my thinking and help me expand both my technical and analytical capabilities. If you're looking for a passionate learner who loves data and is actively building real-world skills, I’d be glad to connect. Let’s collaborate, learn, and grow together. GitHub: github.com/TharunPranav2007

Stackforce AI infers this person is a Data Science enthusiast with a focus on AI and analytics in the SaaS industry.

Location: Coimbatore, Tamil Nadu, India

Experience: 0 mo

Skills

Data Analysis
Machine Learning
Data Analytics

Career Highlights

Strong foundation in Python and SQL for data analysis.
Hands-on experience in real-world data-driven projects.
Eager learner with a passion for data science.

Work Experience

Digits n Data

Data Analyst Intern (1 mo)

Data Analyst Trainee (0 mo)

Edunet Foundation

Artificial Intelligence and Machine Learning Intern (1 mo)

Artificial Intelligence and Employability Intern (2 mos)

AI & Cloud Technologies Intern (1 mo)

Ibots Infotech Private Limied

Data Science Intern (1 mo)

CSRBOX®

Artificial Intelligence Intern (1 mo)

1M1B (1 Million for 1 Billion)

Green Intern (2 mos)

UptoSkills

Data Mining and Analytics Intern (3 mos)

LetsUpgrade

Student Ambassador (3 mos)

SmartED Innovations

Data Science Intern (3 mos)

Education

Bachelor of Engineering - BE at KPR Institute of Engineering and Technology

High School Diploma at Velammal Schools Karur

Tharun Pranav T

Data Scientist

Coimbatore, Tamil Nadu, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Strong foundation in Python and SQL for data analysis.
Hands-on experience in real-world data-driven projects.
Eager learner with a passion for data science.

Stackforce AI infers this person is a Data Science enthusiast with a focus on AI and analytics in the SaaS industry.

Contact

Skills

Core Skills

Data AnalysisMachine LearningData Analytics

Other Skills

SQLAICloud TechnologyCloud DeploymentData MiningAnalyticsVisualizationBig Data ProcessingPower BIGoogle AnalyticsC (Programming Language)MySQLPython (Programming Language)Generative AI

About

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Digits n data

2 roles

Data Analyst Intern

Feb 2026 – Mar 2026 · 1 mo · Remote

Data Analyst Trainee

Feb 2026 – Feb 2026 · 0 mo · Remote

Selected as a Data Analyst Trainee for the 15-day intensive “Money War” Fellowship Program at Digits N Data — a courtroom-style, data-driven business simulation focused on turning insights into revenue-backed decisions.
Worked in a competitive team structure where we analyzed real-world business case files (B2B SaaS & Marketplace models) and used SQL-based data investigation to either defend or challenge monetization strategies. The program required complete ownership of business logic, metrics interpretation, and financial reasoning — no role silos.
Key Highlights:
Translated business risks and assumptions into testable SQL queries
Analyzed revenue, retention, churn, engagement, ARPU, and burn rate metrics
Evaluated monetization models (Freemium, Subscription, Usage-Based, Hybrid)
Built structured investor-style briefs backed by data evidence
Participated in live “Defense vs Attack” strategy presentations
Practiced explaining both business logic and SQL reasoning under pressure
Developed strong understanding of:
Product-Market Fit, Unit Economics (LTV:CAC), NRR, and Funnel Analysis
B2B vs B2C monetization trade-offs
Data storytelling for strategic decision-making
This fellowship strengthened my ability to connect SQL analysis with real business outcomes and defend data-backed decisions in high-pressure review environments.

Edunet foundation

3 roles

Artificial Intelligence and Machine Learning Intern

Dec 2025 – Jan 2026 · 1 mo · Remote

Artificial Intelligence and Employability Intern

Nov 2025 – Jan 2026 · 2 mos · Remote

AI & Cloud Technologies Intern

Sep 2025 – Oct 2025 · 1 mo · Remote

Completed an intensive 4-week internship on Artificial Intelligence & Cloud Technology, a program implemented by Edunet Foundation in collaboration with the All India Council for Technical Education (AICTE) and IBM SkillsBuild.
Key responsibilities and achievements:
Gained practical experience in the end-to-end AI/ML project lifecycle, covering Artificial Intelligence, Machine Learning (ML), Deep Learning (DL), version control with GitHub, and cloud deployment.
Developed and deployed "ChefBot - a Smart Recipie Generator using AI" as the final capstone project.
Managed the full project development, from initial concept to a live application deployed on Streamlit Cloud and versioned on GitHub.
Completed the "Edunet-Artificial Intelligence" learning plan on the IBM SkillsBuild platform and participated in weekly mentor-led sessions and masterclasses from industry experts.

AIMachine LearningCloud Technology

Ibots infotech private limied

Data Science Intern

Dec 2025 – Jan 2026 · 1 mo · Chennai, Tamil Nadu, India · Hybrid

Completed a 30-day internship focused on real-world applications of Data Science & Engineering, working in both offline and online modes. Gained hands-on experience in data mining, analytics, visualization, big data processing, and machine learning.
Key Contributions:
Performed manual data mining from official sources and developed a College Analytics Dashboard using Power BI
Built an Employee Salary Analysis Dashboard and Product Sales Review Dashboard to derive business insights and KPIs
Conducted big data analytics using Databricks, including SQL-based transformations and customer behavior analysis
Developed a Purchase Prediction Model using Linear Regression and evaluated additional models for performance comparison
Designed and deployed a personal portfolio website using HTML and GitHub Pages
Technologies Used: Power BI, Databricks, SQL, Machine Learning (Linear Regression), HTML, GitHub
This internship strengthened my skills in data analytics, dashboard development, predictive modeling, and industry-oriented data workflows.