Aditya Ranjan

Data Analyst

Noida, Uttar Pradesh 0+ yrs exp 85 · Excellent

About

Data Analyst who works end to end, from raw data and SQL to dashboards built around a clear business question. Projects include a three-layer Snowflake warehouse and Tableau dashboards on 1,033,036 transactions, a four-page Power BI risk report on 255,347 loans, and a SQL Server to MySQL reporting migration that included fixing a production data-quality issue. I check that the numbers are right before they go into a report. Currently working in AI data quality evaluation at Innodata.

Skills & Expertise (30)

SQL Intermediate

7.5/10

Years Exp

Python Intermediate

7.0/10

Years Exp

PivotTables Advanced

7.0/10

Years Exp

Advanced Excel Advanced

7.0/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

Index-match Intermediate

6.5/10

Years Exp

XLOOKUP Intermediate

6.5/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Jupyter Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

SQL Server Intermediate

6.0/10

Years Exp

EDA Intermediate

6.0/10

Years Exp

NumPy Intermediate

6.0/10

Years Exp

ETL Pipelines Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

Data Modelling Intermediate

6.0/10

Years Exp

Statistics Intermediate

5.5/10

Years Exp

Seaborn Intermediate

5.5/10

Years Exp

Matplotlib Intermediate

5.5/10

Years Exp

DAX Intermediate

5.5/10

Years Exp

Power Query Intermediate

5.5/10

Years Exp

Dimensional Modelling Intermediate

5.5/10

Years Exp

Time intelligence Intermediate

5.0/10

Years Exp

Database Migration Intermediate

5.0/10

Years Exp

KPI Dashboards Intermediate

5.0/10

Years Exp

RFM Segmentation Intermediate

5.0/10

Years Exp

Snowflake Intermediate

5.0/10

Years Exp

Data Validation Intermediate

5.0/10

Years Exp

Work Experience

Data Annotator

Innodata India Pvt. Ltd.

Jul 2026 - Present

Check AI-generated charts, dashboards and reports against their underlying data, making sure titles, axes, labels and written descriptions match what the data shows. Correct misinterpretations before client delivery. Test interactive dashboard and report controls, and assess outputs for factual accuracy, instruction adherence, completeness and usability against documented client criteria. Work is scored through per-task quality ratings. Review 20–30 outputs a day across charts, dashboards, documents, code, web pages, images and speech data. Selected for cross-skilling into more task types after a performance assessment.