Bhuvan

Chennai 0+ yrs exp 70 · Very Good

About

Analytical B.E. Computer Science Graduate (2026) with dual internship experience building automated ETL pipelines and executive Business Intelligence dashboards. Proven capability utilizing SQL, Python, and Power BI to optimize data pipelines, detect cost anomalies, and translate complex relational databases into actionable business strategies.

Skills & Expertise (22)

NumPy Advanced

7.6/10

Years Exp

Python Advanced

7.6/10

Years Exp

Pandas Advanced

7.6/10

Years Exp

Microsoft Excel Advanced

7.2/10

Years Exp

SQL Intermediate

6.4/10

Years Exp

Data Cleansing Intermediate

6.4/10

Years Exp

GitHub Intermediate

6.4/10

Years Exp

Joins Intermediate

6.4/10

Years Exp

Git Intermediate

6.4/10

Years Exp

Power BI Intermediate

6.4/10

Years Exp

Advanced Pivot Tables Intermediate

6.4/10

Years Exp

VLOOKUP Intermediate

6.4/10

Years Exp

MySql Intermediate

5.6/10

Years Exp

ETL Processes Intermediate

5.6/10

Years Exp

Tableau Intermediate

5.6/10

Years Exp

Schema Validation Intermediate

5.6/10

Years Exp

Postgresql Intermediate

5.6/10

Years Exp

CTEs Beginner

4.4/10

Window Functions Beginner

4.4/10

Feature Engineering Beginner

4.4/10

Exploratory data analysis EDA

Work Experience

Machine Learning & AI Intern

Tamizhan Skills

Dec 2025 - Jan 2026

Engineered data preprocessing pipelines featuring scaling and categorical encoding, cutting dataset training anomalies. Developed and cross-validated classification models to track operational patterns, maintaining model accuracy baselines. Designed interactive dashboards and visual tracking tools in Power BI to present key predictive insights to department leads.

Data Science Intern

Trios Technologies

Jul 2024 - Aug 2024

Validated and cleaned 40,000+ unstructured records using Python (Pandas/NumPy), improving base dataset accuracy by 18%. Automated data preparation workflows, cutting manual processing effort by 5 hours per week and speeding up reporting cycles. Executed exploratory data analysis to isolate missing entries and anomalous records, reducing system pipeline errors.