Riddhi Mhatre

Professional with 3+ years of experience working in data-driven business operations, production systems, and engineering environments. Skilled in Python, SQL, MySQL, and PowerBI for analyzing large datasets, building reports, and automating routine data tasks. Experienced in creating pricing models, dashboards, and KPI-based reporting that help teams make better business decisions and improve efficiency.

Comfortable working with different data sources and collaborating with cross-functional teams to turn business needs into clear, structured insights.

Data Analyst - Crown Findings Co., Inc. - NY, USA

(2025-01)

• Analyze pricing, sales, and inventory data to support business decisions and improve pricing strategies.
• Managed daily price updates based on global market rates, ensuring consistency and accuracy across systems.
• Queried and maintained structured datasets using MySQL and external data sources for reporting and analysis.
• Built and maintained pricing models using vendor, labor, and material inputs to standardize pricing logic across products.
• Created dashboards and reports in Power BI and Excel, including KPI tracking and data validation for business insights.
• Developed Python scripts to automate invoice processing and structure raw data for analysis and reporting.
• Used Google API for customer data mapping and collaborated with stakeholders to improve data quality, reporting, and operational efficiency.

Data Analyst - Dreamline AI - NY, USA

(2024-04 - 2025-01)

• Worked on end-to-end data analysis using Python and Excel, including data cleaning, preprocessing, and reporting to support business decision-making.
• Used SQL within Databricks to query and analyze large datasets and performed exploratory data analysis to identify trends and insights.
• Worked in Databricks environment using Python notebooks to process data, transform datasets, and support reporting workflows.
• Built Power BI dashboards and Excel reports (including basic automation/macros) to track KPIs and present insights to stakeholders.
• Improved data quality by maintaining structured datasets and implementing validation checks to reduce inconsistencies and errors.
• Collaborated with stakeholders and cross-functional teams to understand requirements and deliver data-driven insights and reports.
• Documented data workflows, SQL queries, and analysis processes while supporting timely delivery of reporting and analytics tasks.

Trainee Engineer - Dynomerk Controls - Mumbai, India

(2021-09 - 2022-01)

• Collected and analyzed machine performance and test data to evaluate system efficiency and identify improvement areas.
• Interpreted engineering and operational data from testing processes (AUT) to support decision-making and improve process accuracy.
• Created structured reports from test results and operational data to track performance trends and support process optimization.

Master of Science (M.S.) - Computer Science - Pace University

Master of Engineering - Electronics and Telecommunication - Mumbai University

Bachelor of Engineering - Electronics - Mumbai University