Nehali Parulekar

Designed and automated Power BI dashboards by integrating Oracle and Teradata data to enable real-time KPI tracking. Conducted root cause analyses and improved account hierarchy accuracy through pricing and account data validation and reconciliation.

Cleaned and validated financial datasets in PostgreSQL and wrote SQL queries to extract, validate, and reconcile data across tables. Built Power BI dashboards and performed ad-hoc analysis with Excel to support stakeholder reporting needs.

Improved data accuracy across 2M+ HMIS records by writing SQL Server stored procedures and validation rules to support federal compliance reporting. Built SSRS reports and Tableau dashboards for PIT count audits and supported compliance workflows with Excel automation and stakeholder requirements gathering.

Automated data retrieval processes using Python (Pandas) and VBScript to improve workflow productivity. Built Tableau dashboards using data from Snowflake and Excel, analyzed applicant records to enhance a data portal, and supported recruitment-focused analytics.

Created a unified Tableau dashboard aggregating data from Oracle, SQL Server, and Excel to reduce manual reporting effort. Delivered metrics and reports from 50 GB+ datasets using SQL Server and Tableau to analyze customer attrition, product usage, and revenue trends.

Migrated 500TB+ of enterprise data across 260+ datasets from Hive to Teradata using SQL-based reconciliation frameworks. Improved query performance on large datasets and automated daily/weekly/monthly reporting using Jenkins to reduce manual effort.

Grade: GPA: 3.61

Completed an M.S. in Data Science at NJIT, studying data mining, database management systems, data visualization, and Python for data science.

Completed an M.Sc. in Computer Applications at the University of Mumbai.

Completed a B.Sc. in Information Technology at the University of Mumbai.