---
title: "Vivek Duggirala - Data Analyst in Hyderabad | Tal"
description: "Meet Vivek Duggirala, Data Analyst at Deloitte USI | SQL, Python, Data Visualization | Automating Processes, Enhancing Security, Optimizing Data Infrastructure based in Hyderabad. AI stack includes claude code, deepseek, and grok. Explore public work links including github."
image: "https://tal.club/meet/vivek-duggirala/share-image"
---

# Vivek Duggirala on Tal

## Headline

Data Analyst at Deloitte USI \| SQL, Python, Data Visualization \| Automating Processes, Enhancing Security, Optimizing Data Infrastructure

## About

I am a highly experienced and results\-driven Data Analyst and Data Scientist with over 2 years of expertise in transforming complex datasets into meaningful insights across HR, Technology, and Security domains\. My strong foundation in data science, coupled with advanced skills in data visualization and predictive modeling, enables me to deliver impactful analytics solutions that drive strategic decision\-making\. I am proficient in leveraging tools such as Python, SQL, and Tableau to extract valuable insights from data, enhancing operational performance and supporting business objectives\. Throughout my career, I have successfully automated HR analytics dashboards, significantly reducing manual reporting time and improving data accuracy\. I have also implemented data reconciliation solutions that streamlined processes and mitigated compliance risks\. My commitment to continuous professional development is evident as I pursue certifications to further enhance my skills and deliver innovative solutions\. I am now seeking senior\-level opportunities where I can leverage my expertise to contribute to organizational success\. Key Achievements: \- Automated HR analytics dashboards, reducing manual reporting effort by 45% and improving KPI visibility across five process areas\. \- Developed an AI\-driven data reconciliation solution that reduced reconciliation errors by 70% and improved operational efficiency by 55%\. \- Implemented a real\-time traffic analytics system achieving 98% accuracy, optimizing operational processes and incident detection\. \- Enhanced data quality by 40% through engineered data profiling pipelines and data cleaning strategies\.

## Location

Hyderabad

## AI stack

claude code

deepseek

grok

hugging face

Supabase

Wispr Flow

## Work experience

Data Analyst at Deloitte, Oct 2025 \- Present · 1 yr 2 mos, Hyderabad, In my current role at Deloitte, I focus on developing and automating HR analytics dashboards using One Model and Excel, integrating data from SAP HANA and SQL Server to enhance KPI visibility across five process areas\. I have successfully eliminated over 50 hours per week of manual Excel\-based reconciliation by deploying autonomous AI agents that leverage semantic matching and fuzzy logic across disparate HR systems\. Additionally, I create a dynamic data dictionary and knowledge graph that links technical metadata with business semantics, establishing a single source of truth for critical HR data assets\. Achievements: I implemented an offline Mistral\-large\-2407 model on Deloitte servers, transforming HR reporting by enabling real\-time actionable insights and reducing report generation time by 65%\. I also delivered the integration of LLMs into existing analytics workflows, improving insight accuracy and timeliness by 45%\. Furthermore, I developed an AI\-driven data reconciliation solution that streamlined processes, reduced reconciliation errors by 70%, and improved operational efficiency by 55%\.

Data Scientist at IVIS Security Inc\., Nov 2024 \- Sep 2025 · 11 mos, Mangalagiri, Andhra Pradesh, India, Led efforts to get STQC compliance for make in india government regulations for IP Camera's Firmware code security\. Led the redesign of the company's Video Monitoring System's Web app and Mobile Apps\(IOS and Android\)\. Implemented Live Monitoring of Incidents data using Prometheus and Grafana, cutting down response times significantly by 60%\. Developed and deployed a real\-time foot traffic analytics system utilizing YOLOv8 for object detection and DeepSORT for multi\-object tracking, achieving 98% accuracy of person counting at entry/exit zones in dynamic environments\. Implemented transfer learning on the YOLOv8n model using the FLIR ADAS dataset for nighttime object detection, achieving a mean Average Precision \(mAP\) of 0\.55\.

Data Analyst at Talent Hub Inc, Jan 2024 \- Aug 2024 · 8 mos, Frisco, TX, In my role at Talent Hub, I engineered data profiling pipelines and data cleaning strategies using Python and SQL, which improved overall data quality by 40%\. I documented data transformation mappings and developed Tableau dashboards to support issue remediation\. My responsibilities also included preparing monthly performance and risk reports for executive stakeholders, aligning with audit controls\. Achievements: I built governance\-focused dashboards to track quality metrics and enhance reporting accuracy across cross\-functional systems\. Additionally, I conducted peer QA reviews and performed root cause analysis on flagged issues, supporting remediation strategies and enforcing data governance policies\.

Software Developer at Indus Valley Consultants, Feb 2023 \- Jan 2024 · 1 yr, Miamisburg, OH, During my role at Indus Valley, I automated end\-to\-end ETL workflows using Python and SQLite, significantly reducing manual processing effort by 80%\. I implemented secure data exchange mechanisms and optimized AWS Glue job performance for large\-scale transformations\. Achievements: My efforts ensured audit traceability and adherence to data quality standards, enhancing pipeline efficiency and metadata consistency across cloud\-based data ecosystems\.

Intern at Erudex, Jun 2019 \- Nov 2019 · 6 mos, Hyderabad, Erudex provides educational softwares to Institutions and students\. In my role at Erudex, I developed advanced Tableau visualizations leveraging data blending and complex SQL constructs to extract insights from large\-scale education datasets\. I improved reporting accuracy and supported metadata documentation\. Achievements: My contributions led to a 25% improvement in reporting accuracy, enhancing the overall effectiveness of the data analysis efforts\.

## Education

Postgraduate Degree, Data Science and Machine Learning, Scaler

Master's degree, Information Systems, University of Maryland \- Robert H\. Smith School of Business

## Public links

- github: https://github\.com/vik9612

[View the original profile](https://tal.club/meet/vivek-duggirala)

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