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ANMOL BHANDARE

@anmolbhandare

Message

Detail-oriented data analyst turning messy data into accurate insights and dashboards.

India

Message

What I'm looking for

I’m looking for a data analyst role where I can automate data validation, build reliable dashboards, and work with cross-functional teams to turn datasets into measurable business decisions.

I’m a detail-oriented Data Analyst focused on hands-on data analysis, reporting, and business intelligence dashboards. I retrieve and validate data from multiple sources to ensure data accuracy and consistency, and I document data processes and reporting requirements clearly for stakeholders.

In my internship work, I built an automated data validation and testing solution using Python, reducing manual QA effort by 75% and improving test execution speed by 90% with end-to-end automated data quality checks. I also expanded automated reporting by integrating performance metric tracking to achieve 100% coverage of test scenarios before releases into the production environment.

I’ve also developed models and analytics pipelines—using SQL and Python for a multi-class classification system reaching up to 90% accuracy, and applying Python + NLP techniques to deliver a classification model with 87% accuracy. On projects, I used SQL, Python, and machine learning to identify churn drivers (7,000+ records) and to analyze pricing trends across 10+ product categories, translating results into practical, data-driven decisions.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Intern

Infosys

Jan 2026 - Apr 2026 (3 months)

Developed an automated data validation and testing solution in Python, reducing manual QA effort by 75% and improving test execution speed by 90% through end-to-end data quality checks and performance metric tracking. Expanded automated reporting coverage to 100% of test scenarios while ensuring data accuracy prior to production release.

Python Data Validation Automated Testing Data Quality Assurance Performance Tracking Data Quality Test Coverage

Data Science Intern

SparkIIT

Sep 2025 - Dec 2025 (3 months)

Retrieved and analyzed text datasets using SQL and Python to build a multi-class classification system, achieving up to 90% accuracy and documenting data sources and analytical logic. Built an NLP-based classification model on labeled social media data, reaching 87% accuracy and delivering findings to the team.

SQL Python NLP Text Classification Systems Data Analysis