Rajarshi Datta

Analyst

Bangalore, India 1+ yrs exp 67 · Good

About

Analyst with hands-on experience in Python, SQL, and statistical modeling (LSTM, ARIMA, SARIMA), skilled in data validation, ETL workflows, and dashboard reporting. Experienced translating structured and unstructured data into decision-support insights, with a strong foundation in descriptive and predictive analytics, stakeholder reporting, and process automation.

Skills & Expertise

No skills listed yet

Work Experience

AI/ML Intern

Minar (Shopping Intelligence Platform)

Jan 2025 - Jan 2026

Improved data reliability across multiple web-sourced product datasets by designing validation, deduplication, and cleansing checks that identified inconsistencies before downstream analytics and model processing. Automated ETL-style data ingestion, transformation, and validation workflows using Python, Pandas, and NumPy, reducing repetitive manual data-preparation work and improving the consistency of recurring data pipelines. Processed and analyzed large-scale product data using SQL and Python, implementing extraction, aggregation, validation, and trend-analysis workflows to support data-driven product and business decisions. Improved data-quality monitoring by implementing statistical checks for outliers, distribution changes, duplicate records, and period-over-period anomalies, enabling earlier identification of unexpected changes in pipeline inputs and outputs. Built Excel dashboards and trackers using VLOOKUP and PivotTables to monitor data quality, pipeline outputs, and operational metrics, and communicated findings to non-technical stakeholders through structured presentations. Strengthened data governance and audit readiness by documenting validation rules, control checks, exception-handling procedures, and data-quality findings across recurring data workflows. Collaborated with cross-functional stakeholders to translate business requirements into data-validation rules and quality checks, communicating technical issues and recommendations clearly to support reliable downstream analysis.