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Karthik Yelugam

Karthik Yelugam

Entry-level Data Analyst

Bangalore 0+ yrs exp 86 · Excellent

About

Entry-level Data Analyst with hands-on experience in SQL, Python, Excel, Power BI, and Tableau for data cleaning, analysis, and dashboard development. Delivered analytics solutions across retail, healthcare, and fraud detection using MySQL, Pandas, Power Query, and statistical methods. Completed a Rubixe internship and analytics training programs, turning raw datasets into KPI-driven business insights.

Skills & Expertise (26)

SQL Intermediate
7.3/10
1
Years Exp
Python Intermediate
7.3/10
1
Years Exp
Attention to Detail Intermediate
7.0/10
1
Years Exp
Data Visualization Intermediate
7.0/10
1
Years Exp
MS Excel Intermediate
7.0/10
1
Years Exp
Adaptability Intermediate
7.0/10
1
Years Exp
Communication Intermediate
7.0/10
1
Years Exp
Problem-solving Intermediate
7.0/10
1
Years Exp
Analytical Thinking Intermediate
7.0/10
1
Years Exp
Market Basket Analysis Intermediate
7.0/10
1
Years Exp
Pandas Intermediate
7.0/10
1
Years Exp
EDA Intermediate
7.0/10
1
Years Exp
Data Cleaning Intermediate
7.0/10
1
Years Exp
Excel Intermediate
7.0/10
0.5
Years Exp
Jupyter Notebook Intermediate
7.0/10
1
Years Exp
NumPy Intermediate
6.5/10
1
Years Exp
Statistical Analysis Intermediate
6.5/10
1
Years Exp
Tableau Intermediate
6.5/10
1
Years Exp
Power BI Intermediate
6.5/10
1
Years Exp
MySql Intermediate
6.5/10
1
Years Exp
ETL Intermediate
6.0/10
1
Years Exp
Feature Engineering Intermediate
6.0/10
1
Years Exp
Dashboarding Intermediate
6.0/10
1
Years Exp
Database Management Intermediate
6.0/10
1
Years Exp
Power Query Intermediate
5.5/10
0.5
Years Exp
collaboration

Work Experience

Data Analyst Consultant Intern

Rubixe

Sep 2025 - Mar 2026

Built an end-to-end Market Basket Analysis pipeline on 522K+ retail records and 21.6K customer baskets using Python, SQL, Pandas, and Apriori, identifying association rules with up to 73.6% confidence and 18.3 lift for cross-sell and bundling insights. Cleaned and transformed 522K+ rows by handling 134K+ missing values, removing 5,286 duplicates, filtering anomalies, and engineering Revenue, Transaction Size, and Product Frequency features, improving data quality for large-scale analytics. Analyzed 17,597 transactions across 1,295 products and delivered visual insights to support inventory optimization, recommendation strategy, and retail growth decisions.

Education

B.E. Computer Science and Engineering - Sathyabama Institute of Science and Technology

2021 - 2025 · Afghanistan

Certifications

Certified Data Analyst (Gold Category – 90%)

FutureSkills Prime & NASSCOM · 2026

Certified Data Analyst

IABAC · 2026

Data Analytics Job Simulation

Deloitte (Forage) · 2026

Certified Data Analyst Program

DataMites · 2026

SQL and Relational Databases 101

· 2024

SQL & Python Bootcamp

Imarticus Learning · 2023

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 6/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 86/100

Profile Overview

Member sinceJun 2026

Availability Details

Relocation

Depends on Offer