Headline

Senior Executive, Analytics @Deloitte | MS-MIS, University of Arizona (Eller) | Ex-John Hancock Data Engineer Intern | Ex-Samsung Automation Engineer | Data Science | Data Analytics | Data-Driven Solutions |

About

Hello, I’m Utsav Devendra Parekh, a results-oriented professional specializing in data analysis, automation, and software development. I currently serve as Senior Executive (Analytics) in Audit & Assurance at Deloitte India. I hold a Master of Science in Management Information Systems from the Eller College of Management, University of Arizona, and am passionate about using data to drive actionable insights and optimize business processes. My expertise includes Python, SQL, and data visualization, along with experience in web and mobile development (HTML5, JavaScript, .NET, Android). In previous roles, I helped improve network performance by 40% at Samsung and reduced data processing time by 20% at John Hancock. I am accomplished in database management (SQL, PostgreSQL, MySQL) and have led teams to deliver projects, such as developing secure health record solutions and insight-rich dashboards for DoCure. Currently, my focus is on leveraging data and analytics to support audit excellence and business assurance at Deloitte. I thrive on solving complex challenges and delivering innovative solutions, always striving for impact and efficiency in my work. Feel free to connect if you’d like to collaborate, share industry insights, or discuss emerging trends in analytics and audit.

Location

Mumbai

Work experience

Senior Executive Analytics at Deloitte, Nov 2025 - Present · 6 mos, Mumbai, • Developing Apache Spark pipelines to validate General Ledger (GL) and Journal Entry (JE) datasets of 10L+ records, ensuring data integrity for analytics • Engineering Python scripts on cloud platforms to automate preprocessing and detect anomalies in JE populations, ensuring data readiness for auditing • Conducting rigorous parameter checks on client financial data, standardizing GL datasets to support high-volume reconciliation and audit testing

Data Engineer Intern at John Hancock, May 2024 - Aug 2024 · 4 mos, Boston, Massachusetts, United States, SQL, Python, Power BI, Databricks, Azure Data Factory, ETL, KPI Reporting, Forecasting • Streamlined ETL pipeline performance in Databricks and SQL, reducing query run time by 10% and delivering timely financial data • Automated ingestion of cost-tracking data using Azure Data Factory, increasing data accuracy and reducing pipeline latency by 5% • Engineered Python data converters for diverse data inputs, supporting standardized, high-volume reporting systems for analytics • Supported management of over 10 SQL databases, resolving schema and data integrity issues for financial modeling • Built validation and monitoring dashboards in Power BI, ensuring reliability of datasets exceeding 10 million records

Automation Engineer at Samsung Electronics, Jul 2022 - Apr 2023 · 10 mos, Mumbai, Maharashtra, India, Python, SQL, Docker, Jenkins, Microservices, CI/CD, Power BI, Data Automation • Automated log processing pipelines with Python and SQL, reducing manual KPI computation time by 3% for operational reporting • Containerized and deployed scalable data services using Docker, increasing pipeline reliability for telecom systems • Integrated real-time anomaly detection to reduce network downtime by 5%, improving upstream data quality • Enhanced CI/CD pipeline automation via Jenkins, achieving a 10% decrease in deployment lead times for backend workflows

Education

Master of Science - MS, Management Information Systems, University of Arizona, Eller College of Management

B.Tech, Information Technology, KJ Somaiya College of Engineering, Vidyavihar