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# Apoorva Gorak

**Headline:** Active learner\.
**Profession:** Product Owner
**Location:** Newark, Delaware, United States

## About

Apoorva Gorak is a Product Owner at JPMorgan Chase with experience building and scaling enterprise data platforms and API\-driven products\. Apoorva works closely with engineering teams on product strategy, customer discovery, and hands\-on execution, with emphasis on reliability, performance, and usability\. Her work includes translating complex backend systems into intuitive workflows, using data\-driven decision\-making to support automation, data quality, and process improvement\. At JPMorgan Chase, Apoorva has automated reporting with Alteryx, built a Tableau dashboard for daily data\-quality monitoring, and supported data modeling, quality checks, and exception alerts\. Her broader background spans analytics, ETL, business intelligence, Python instruction, and Microsoft Azure infrastructure support\. Apoorva has led initiatives affecting more than 1,500 users and contributed to multi\-million\-dollar cost efficiencies\. Earlier, she led a team of eight engineers at Mindtree and provided L1/L2 support for Azure virtual\-machine and Kubernetes environments\. Apoorva holds an MS in Business Analytics and Information Management from the University of Delaware and a BTech in Computer Science from St\. Martin's Engineering College, affiliated with JNTU H\.

## Services

- Alteryx
- Excel Formulas
- Microsoft Power BI
- Data Analysis
- Reporting
- Automation
- Extract
- Transform
- Load \(ETL\)
- Data Visualization
- SQL
- Tableau
- Python \(Programming Language\)
- Microsoft Access
- People Management
- Time Management
- Microsoft Word
- Project Management
- PowerPoint
- Microsoft Office
- Public Speaking
- Management

## Highlights

- Automated JPMorgan Chase’s manual Floating Rate Excel reporting process with Alteryx, saving 160 hours annually, eliminating manual errors, and improving turnaround time\.
- Built a Tableau Data Quality Dashboard for daily data\-quality monitoring at JPMorgan Chase and implemented parameter calibration for exceptions by volume and cause\.
- Led initiatives impacting more than 1,500 users and drove multi\-million\-dollar cost efficiencies through data\-driven decision\-making\.
- Profiled new datasets to support logical data models, data\-quality checks, and exception alerts aligned with consumer priorities at JPMorgan Chase\.
- Developed Excel automation scripts at ChristianaCare that reduced internal reporting time\.
- Created and maintained interactive Tableau dashboards across ChristianaCare departments to automate analysis and support informed decisions\.
- Performed ETL operations using SAS and SQL at ChristianaCare and worked with large datasets\.
- Identified the top 10 app\-improvement suggestions from feedback\-form data at FRndZzy\.
- Trained University of Delaware students in Python, Microsoft Access, and Microsoft Excel for Business Analytics courses\.
- Led a team of 8 engineers as a Senior Software Engineer at Mindtree, covering Azure virtual machines, OS\-level issues, storage, and networking\.
- Provided L1/L2 support for Microsoft Azure virtual machines, including escalated and premium\-support cases, as an IMTS Engineer at Mindtree\.
- Supported Azure Kubernetes Service deployments, upgrades, scaling, node failures, cluster failures, and cluster deletions\.
- Assisted with Azure migrations including ASM to ARM, cross\-region, subscription, resource\-group, and on\-premises\-to\-Azure migrations using VHDs\.
- Used Kusto, KQL, Jarvis, execution graphs, and PerfInsights to analyze Azure logs and diagnose issues\.

## Experience

- **Product Owner at JPMorgan Chase** (2024\-10\-01–present)
- **Reference Data Associate 1 at JPMorgan Chase** (2022\-10\-01–2024\-10\-01) — As part of Market Data and Analytics Team at JPMorgan Chase, below are my current work details\. • Automated an internal manual excel reporting process for Floating Rate utilizing Alteryx saving 160 Hrs annually, eliminating manual errors and improving TAT\. • Leveraging Data Analytics and digital skills to create new insights and deliver well designed applications that together support business transformation\. • Build Tableau Data Quality Dashboard for daily DQ monitoring\. • Implementing DQ parameter calibration with exceptional volume and causes\. • Using data analytics and data visualization techniques to drive decision making and prioritization of automation and process improvements\. • Applying design thinking to understand data patterns, identify process improvement opportunities and lead change\. • Building data expertise to support analysis of consumer queries and issue resolution • Profiling new data sets to identify and document characteristics required to build logical data model
- **Data Analyst intern at ChristianaCare** (2022\-01\-01–2022\-05\-01) — Developed and implemented new automation scripts in Excel for internal processes which helped reduce the reporting time\. • Created and maintained interactive Tableau dashboards across various departments that automated analysis to make informed decisions\. • Executed SAS & SQL queries to perform ETL operations and gained experience of working on large data sets\.
- **Graduate Assistant at University of Delaware** (2021\-08\-01–2021\-12\-01) — \.Graduate Assistant under Professor Edward Hartono for MISY 160\(Business Computing: Tools and Concepts\) and MISY 225\(Introduction to Programming Business Applications\)\. • Helped train students on Python, MS Access, and MS Excel specifically for use in Business Analytics\.
- **Senior Software Engineer at Mindtree** (2017\-10\-01–2021\-01\-01) — Senior Software Engineer \(May 2020\-Jan 2021\) • Served as team lead for a team of 8 engineers, overseeing their performance \(scope Azure virtual machines, OS\-level issues, storage, and networking\) • Provided root cause analysis on cases that did not meet standards \(NTB cases\) and worked on escalated cases • Coordinated with other teams to provide clients end\-to\-end support\. • Timely escalated cases to backend team via ICM\. • Conducted team meetings and training sessions • Communicated and updated the client on the team’s progress and assist engineers on everyday queries\. • IMTS Engineer \(Oct 2017\-May 2020\) • Provided L1/L2 technical support for Microsoft Azure VM \(IAAS\-platform team\), including escalated cases and premium support cases\. • Hands\-on experience on Azure classic and ARM connectivity/ configuration/ management issues • Expertized in deployments, advisory, sizing, performance, licensing \(AHB\), unavailability \(RCA\), and connectivity issues of virtual machines, vir
- **Analyst and HR Intern at FRndZzy** (2016\-09\-01–2017\-02\-01) — Collected and analyzed student information and correlated with the institution using SQL and exposed to basics of scripting\. • Analyze data from feedback forms for top 10 app improvement suggestions • Coordinated with students and management team to conduct the interview process efficiently

## Education

- Master of Science \- MS, Business analytics and Information Management — University of Delaware (2021\-02\-01–2022\-05\-01)
- Bachelor of Technology \- BTech, Computer Science — St\. Martin's Engineering College , affiliated to JNTU H (2013\-01\-01–2017\-01\-01)

## FAQ

### What does Apoorva do?

Apoorva is a Product Owner at JPMorgan Chase\. She has experience in enterprise data platforms, API\-driven products, product strategy, customer discovery, and technical product execution\.

### What are Apoorva’s core strengths?

Apoorva’s strengths include data analytics, automation, data visualization, ETL, data quality, product execution, process improvement, and translating complex backend systems into usable workflows\.

### What did Apoorva accomplish with Alteryx at JPMorgan Chase?

At JPMorgan Chase, Apoorva automated a manual Excel reporting process for Floating Rate using Alteryx\. The automation saves 160 hours annually, eliminates manual errors, and improves turnaround time\.

### What data\-quality work has Apoorva done at JPMorgan Chase?

Apoorva built a Tableau Data Quality Dashboard for daily data\-quality monitoring and implemented data\-quality parameter calibration for exceptions by volume and cause\.

### What was Apoorva’s work as a Reference Data Associate 1 at JPMorgan Chase?

As a Reference Data Associate 1 on JPMorgan Chase’s Market Data and Analytics team, Apoorva used analytics and visualization to support decision\-making and prioritize automation and process improvements\. She applied design thinking to identify data patterns and improvement opportunities, supported consumer\-query analysis and issue resolution, profiled new datasets, and documented characteristics for logical data models, quality checks, and exception alerts\.

### What data tools and data\-management experience does Apoorva have?

Apoorva developed an understanding of the business data architecture and data\-management lifecycle, including sourcing, consumption, and retention or disposal\. She used Excel, SQL, Tableau, Power BI, Alteryx, Qlik Sense, and scripting to analyze large datasets\.

### What did Apoorva do as a Data Analyst intern at ChristianaCare?

At ChristianaCare, Apoorva developed and implemented Excel automation scripts for internal processes that reduced reporting time\. She also created and maintained interactive Tableau dashboards across departments to automate analysis and support informed decisions\.

### What technical analytics work did Apoorva perform at ChristianaCare?

At ChristianaCare, Apoorva executed SAS and SQL queries for ETL operations and gained experience working with large datasets\.

### What did Apoorva do at FRndZzy?

At FRndZzy, Apoorva collected and analyzed student information, correlated it with institutional information using SQL, and gained exposure to scripting basics\. She analyzed feedback\-form data to identify the top 10 app\-improvement suggestions and coordinated with students and management to conduct interviews efficiently\.

### What did Apoorva do as a Graduate Assistant at the University of Delaware?

As a Graduate Assistant under Professor Edward Hartono, Apoorva supported MISY 160, Business Computing: Tools and Concepts, and MISY 225, Introduction to Programming Business Applications\. She helped train students in Python, Microsoft Access, and Microsoft Excel for Business Analytics use\.

### What did Apoorva do as a Senior Software Engineer at Mindtree?

Apoorva served as a Senior Software Engineer at Mindtree from May 2020 to January 2021\. She led a team of eight engineers supporting Azure virtual machines, OS\-level issues, storage, and networking oversaw performance conducted meetings and training and assisted engineers with daily questions\.

### What client and escalation responsibilities did Apoorva have at Mindtree?

At Mindtree, Apoorva provided root\-cause analysis for cases that did not meet standards, including NTB cases, and worked on escalated cases\. She coordinated with other teams for end\-to\-end client support, escalated cases to backend teams through ICM, and kept clients updated on team progress\.

### What was Apoorva’s IMTS Engineer role at Mindtree?

From October 2017 to May 2020, Apoorva worked as an IMTS Engineer at Mindtree, providing L1/L2 technical support for Microsoft Azure virtual machines on an IaaS platform team\. Her work included escalated and premium\-support cases\.

### What Azure virtual\-machine experience does Apoorva have?

Apoorva has hands\-on experience with Azure Classic and ARM connectivity, configuration, and management issues\. She supported virtual\-machine and virtual\-machine\-scale\-set deployments, advisory work, sizing, performance, licensing through AHB, unavailability root\-cause analysis, and connectivity issues\.

### What Azure configuration and migration work has Apoorva performed?

Apoorva worked with Azure availability sets, availability zones, proximity placement groups, alerts, metrics, VM extensions, and marketplace VM issues such as missing plan information\. She also assisted with migrations from ASM to ARM, across regions, subscriptions and resource groups, and from on\-premises environments to Azure using VHDs, along with OS\-disk swaps and nested virtualization\.

### What Azure storage and Kubernetes experience does Apoorva have?

Apoorva has experience with Azure File Share, File Sync, disk encryption, unmanaged\-to\-managed disk conversion, disk resizing, snapshots, images, disk conversions, Storage Explorer, and other storage issues\. She also supported Azure Kubernetes Service deployments, upgrades, scaling, node failures, cluster failures, and cluster deletions\.

### What diagnostic and networking tools has Apoorva used?

Apoorva analyzed logs using Kusto and KQL, as well as Jarvis, execution graphs, and PerfInsights\. She also configured and managed Azure virtual networks\.

### What is Apoorva’s graduate education?

Apoorva holds a Master of Science in Business Analytics and Information Management from the University of Delaware\.

### What is Apoorva’s undergraduate education?

Apoorva holds a Bachelor of Technology in Computer Science from St\. Martin's Engineering College, which is affiliated with JNTU H\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/apoorva\-gorak

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