Preeta Borkar
About Preeta Borkar
Preeta Borkar is a Data Analyst at Cinch Home Services in Boca Raton, Florida, with five years of experience in the role. She has a background in data analysis and engineering, having previously worked at Accenture and World Fuel Services, and holds a Master's Degree in Information Technology and Management.
Work at Cinch Home Services
Preeta Borkar has been employed as a Data Analyst at Cinch Home Services since 2019. In this role, she focuses on data extraction and analysis, contributing to the company's data-driven decision-making processes. Her work is based in Boca Raton, Florida, where she has gained significant experience in handling various data-related tasks over the past five years.
Previous Experience in Data Analysis
Prior to her current position, Preeta Borkar worked at World Fuel Services as a Data Analyst from 2018 to 2019. Before that, she held the role of Senior Engineer/Analyst at Accenture from 2010 to 2013 in the Mumbai Area, India. These positions provided her with a solid foundation in data analysis and engineering, enhancing her skills in the field.
Education and Expertise
Preeta Borkar holds a Master's Degree in Information Technology and Management from the University of Texas at Dallas - Naveen Jindal School of Management. She also earned a Bachelor of Engineering in Computers from the Govt. of Goa College of Engineering, Goa. Her educational background supports her expertise in data analysis and management.
Technical Skills in Data Management
Preeta Borkar is skilled in extracting data from flat files and converting them into SAS datasets using SAS PROC IMPORT and PROC SQL. She has extensive experience with databases such as Teradata, MS SQL Server, and Oracle, where she creates tables, views, indexes, and other database objects. Additionally, she is proficient in writing advanced SQL queries and developing dashboards using Tableau and Qlikview.
Data Analysis Techniques and Methodologies
Preeta Borkar applies various data mining techniques, including regression, segmentation, survival analysis, and elasticity modeling, to analyze large datasets. She is experienced in data profiling, data cleaning, and ensuring high-quality data for analysis. Her understanding of Data Warehousing concepts, such as Star Schema and Snowflake Schema, further enhances her analytical capabilities.