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# Sahiti Addanki

**Headline:** Senior Data Analyst \| SQL, Python, Databricks, Tableau
**Profession:** Senior Data Analyst \| SQL, Python, Databricks, Tableau
**Location:** United States

## About

Sahiti Addanki is a Senior Data Analyst specializing in SQL, Python, Databricks, Tableau, data pipelines, data governance, and operational process improvement\. Sahiti combines hands\-on analysis with end\-to\-end ownership: identifying operational problems, implementing practical solutions, and measuring their impact with data\. Her work spans supply\-chain operations, healthcare, banking, academic research, and data governance\. At The Home Depot, Sahiti built real\-time dashboards for more than 85 fulfillment centers, optimized 30\-plus SQL queries across 2TB\-plus datasets, and developed labor\-tracking tools used by more than 100 warehouses\. She also helped reduce inbound dwell time by one hour and increased CSAT by 50 basis points through operational metrics and compliance systems\. At Siemens Healthineers, Sahiti led four developers delivering more than 30 Oracle APEX applications across the United States, Germany, and India\. Her research experience includes NLP analysis of more than 60 student survey reports across eight courses, contributing to changes in more than four course structures and faculty\-training programs\. Sahiti is particularly drawn to autonomous, hands\-on roles where data can improve complex operational processes and customer outcomes\.

## Services

- Model Validation
- Faculty Training
- Downtime Reduction
- Data Scraping
- Production Pipeline
- Optimization Models
- Work\-Life Balance
- Data Analytics
- Manual Labor
- SharePoint
- Data Governance
- SQL\*Plus
- Data Pipelines
- Themes
- Increase Productivity
- Statistical Analysis
- Employee Evaluation
- Data Visualization
- Learning Analytics
- Data Science

## Highlights

- Built real\-time inbound and outbound dashboards for more than 85 The Home Depot fulfillment centers, enabling shipment tracking, improved labor productivity, and improved delivery speed\.
- Optimized more than 30 complex SQL queries using CTEs and temporary tables across datasets exceeding 2TB, cutting runtime 66% from three hours to one hour and improving reporting SLAs\.
- Built and deployed PowerApps for 3PL labor tracking across more than 100 warehouses, replacing manual Excel workflows and saving more than 360 hours annually\.
- Defined and implemented more than five operational KPIs, including IB Dwell, enabling an 8% reduction in warehouse dwell time\.
- Increased CSAT by 50 basis points through a Lane Verification compliance system that integrated WMS, delivery notes, and handheld audit data into a weighted composite metric\.
- Reduced inbound dwell time by one hour across more than 85 fulfillment centers through the IB Dwell metric, supporting same\-day shipment improvements\.
- Built an automated Microsoft Graph API and Azure\-based pipeline to ingest 3PL labor data from Microsoft Lists into BigQuery, eliminating manual Excel work and saving 10 hours of daily effort\.
- Improved the warehouse outbound auditing process through a five\- to 10\-minute final pre\-shipment check, reducing shipping errors and improving customer satisfaction\.
- Led a team of four developers delivering more than 30 Oracle APEX applications for operational workflows and reporting across the United States, Germany, and India\.
- Built ETL pipelines to automate XML\-to\-SQL Server data ingestion at Siemens Healthineers, reducing discrepancies and improving data quality\.
- Built Python automation to analyze medical\-equipment performance and automate manual monitoring processes at Siemens Healthineers\.
- Applied NLP topic modeling and word embeddings to more than 60 student survey reports across eight courses at Georgia State University\.
- Used survey\-analysis findings to influence changes in more than four course structures and enhance faculty\-training programs\.
- Developed a scalable Databricks pipeline for high\-volume web scraping using Python ETL\.
- Deployed Random Forest, Naive Bayes, and Logistic Regression models, optimizing performance with k\-fold cross\-validation and feature engineering\.
- Identified distance from home, income, and work\-life balance as significant predictive\-model features\.
- Automated server\-health reporting with Tableau dashboards at Zions Bank, saving 10 hours of manual work weekly\.
- Migrated Oracle schemas to DB2 at Zions Bank while ensuring data integrity for business\-critical reporting, including reporting for the TCS Bancs Product\.
- Audited more than 120 Novavax tables for data risks before data\-science use and flagged compliance gaps involving inconsistent data types, missing values, naming conventions, and audit\-trail maintenance\.
- Reduced downstream issues by 20% through Novavax data\-risk and compliance\-gap auditing\.

## Experience

- **Senior Data Engineer at The Home Depot** (2022\-11\-01–2026\-03\-01) — Increased CSAT score by 50 basis points through Lane Verification compliance system integrating WMS, delivery notes, and handheld audit data into weighted composite metric\. Reduced inbound dwell time by 1 hour across the 85\+ fulfillment centers through IB Dwell metric, enabling same\-day shipment improvements\. Processed over 2TB of data and optimized team’s 30 SQL queries’ performance using CTE, temp tables, optimized JOINs, and brought execution times from 3 to 1 hour\. Built an automated pipeline using Microsoft Graph API and Azure credentials to ingest 3PL labor data from Microsoft Lists into BigQuery, eliminating manual Excel processes and saving 10 hours of daily effort\.
- **Senior Data Analyst, Supply Chain at The Home Depot** (2022\-11\-01–2026\-03\-01) — \- Built real\-time inbound/outbound dashboards for 85\+ fulfillment centers, enabling operations teams to track shipments and improve labor productivity and delivery speed\. \- Optimized 30\+ complex SQL queries \(CTEs, temp tables\) on 2TB\+ datasets, reducing runtime by 66% \(3 hrs \-&gt; 1 hr\) and improving reporting SLAs\. \- Built and deployed PowerApps used across 100\+ warehouses for 3PL labor tracking, replacing manual Excel workflows and saving 360\+ hours annually\. \- Defined and implemented 5\+ operational KPIs \(e\.g\., IB Dwell\), enabling teams to reduce warehouse dwell time by 8%\.
- **Data Analyst at CETLOE \- Georgia State University** (2022\-08\-01–2022\-10\-01)
- **Data Governance Intern at Novavax** (2022\-06\-01–2022\-07\-01)
- **Data Specialist at Novavax** (2022\-06\-01–2022\-07\-01) — ●​ Audited more than 120 tables for data risks pre\-data science use flagged compliance gaps \(inconsistent datatypes, missing values, naming conventions, maintaining audit trail\), reducing downstream issues by 20%
- **Data Scientist at Georgia State University** (2021\-08\-01–2022\-10\-01) — Applied NLP topic modeling and word embeddings on 60\+ student survey reports across 8 courses to extract recurring semantic themes in curriculum, teaching, and student experience\. Visualized using word clouds, influencing changes in 4\+ course structures & enhancing faculty training programs\. Developed a scalable Databricks pipeline to scrape high\-volume web data, utilizing Python for ETL\. Deployed ML predictive models \(Random Forest, Naive Bayes, Logistic Regression\) and optimized model performance using k\-fold cross\-validation\. Using feature engineering, finalized significant features like distance from their home, income, & work\-life balance\.
- **Graduate Research Assistant at Georgia State University \- J\. Mack Robinson College of Business** (2021\-08\-01–2022\-05\-01)
- **Senior Data Analyst at Siemens Healthineers** (2019\-04\-01–2021\-06\-01) — ●​ Led a team of 4 developers delivering 30\+ Oracle APEX applications that streamlined operational workflows and reporting across the US, Germany, and India ●​ Built ETL pipelines to automate XML to SQL Server data ingestion, reducing discrepancies and improving data quality ●​ Built Python automation to analyze medical equipment performance, automating manual monitoring processes
- **Senior Data Engineer at Siemens Healthineers** (2019\-04\-01–2021\-06\-01) — Led a team of 4 developers delivering 30\+ Oracle APEX applications that streamlined operational workflows and reporting across the US, Germany, and India\. Built ETL pipelines to automate XML to SQL Server data ingestion, reducing discrepancies and improving data quality\. Built Python automation to analyze medical equipment performance, automating manual monitoring processes\.
- **Data Analyst at Zions Bank** (2016\-03\-01–2019\-03\-01) — ●​ Automated server health reporting with Tableau dashboards, saving 10 hours of manual work weekly ●​ Migrated Oracle schemas to DB2, ensuring data integrity for business\-critical reporting
- **Data Engineer at Zions Bank \(Contractor\)** (2016\-03\-01–2019\-04\-01) — Automated server health reporting with Tableau dashboards, saving 10 hours of manual work weekly\. Migrated Oracle schemas to DB2, ensuring data integrity for business\-critical reporting for TCS Bancs Product\.
- **Graduate Engineer at Trio Motion Technology** (2015\-07\-01–2015\-09\-01)

## Education

- MS in Information Systems, Big Data Analytics — Georgia State University \- J\. Mack Robinson College of Business (2021\-08\-01–2022\-07\-01)
- High School, Maths, Physics, Chemistry, Computer Science \- C\+\+ — Tagore International School \(Vasant Vihar\) (2006\-01\-01–2011\-01\-01)
- Master's degree — Georgia State University \- J\. Mack Robinson College of Business
- Bachelor of Technology, Electrical and Electronics Engineering — Bharati Vidyapeeth University College Of Engineering, Pune
- Master of Science, Information Technology — Georgia State University
- Doctor of Philosophy, Business Administration and Management, General — Westcliff University
- Engineer's Degree, Electronics Engineering — Bharati Vidyapeeth University College Of Engineering, Pune

## FAQ

### What does Sahiti do?

Sahiti Addanki is a Senior Data Analyst with experience in SQL, Python, Databricks, Tableau, data visualization, data pipelines, data governance, statistical analysis, data science, learning analytics, and operational process improvement\. She focuses on using data to identify operational issues, implement solutions, and measure results\.

### What are Sahiti’s core strengths?

Sahiti’s strongest areas are operational analytics, complex SQL optimization, dashboarding, ETL and production pipelines, data governance, data scraping, model validation, and process improvement\. She prefers hands\-on problem\-solving and end\-to\-end ownership over purely analytical or strategic work\.

### What did Sahiti accomplish as a Senior Data Analyst, Supply Chain at The Home Depot?

At The Home Depot, Sahiti built real\-time inbound and outbound dashboards for more than 85 fulfillment centers to help operations teams track shipments, improve labor productivity, and improve delivery speed\. She optimized more than 30 complex SQL queries on datasets exceeding 2TB, reducing runtime by 66%, from three hours to one hour, and improving reporting SLAs\. She also built PowerApps for 3PL labor tracking used across more than 100 warehouses, replacing manual Excel workflows and saving more than 360 hours annually\.

### What did Sahiti accomplish as a Senior Data Engineer at The Home Depot?

As a Senior Data Engineer at The Home Depot, Sahiti increased CSAT by 50 basis points through a Lane Verification compliance system that integrated WMS, delivery notes, and handheld audit data into a weighted composite metric\. She reduced inbound dwell time by one hour across more than 85 fulfillment centers through the IB Dwell metric, supporting same\-day shipment improvements\. She processed more than 2TB of data and improved 30 SQL queries from three\-hour to one\-hour execution times using CTEs, temporary tables, optimized joins, and related techniques\. She also built a Microsoft Graph API and Azure\-credential\-based pipeline that ingested 3PL labor data from Microsoft Lists into BigQuery, eliminating manual Excel processes and saving 10 hours of daily effort\.

### How has Sahiti improved warehouse operations?

Sahiti defined and implemented more than five operational KPIs, including IB Dwell, which enabled teams to reduce warehouse dwell time by 8%\. She also improved the warehouse outbound auditing process by adding a five\- to 10\-minute final check before shipment, reducing shipping errors and improving customer satisfaction\.

### What did Sahiti accomplish at Siemens Healthineers?

At Siemens Healthineers, Sahiti led a team of four developers that delivered more than 30 Oracle APEX applications supporting operational workflows and reporting across the United States, Germany, and India\. She built ETL pipelines to automate XML\-to\-SQL Server ingestion, reducing discrepancies and improving data quality, and developed Python automation to analyze medical\-equipment performance and automate manual monitoring\.

### What did Sahiti accomplish as a Data Scientist at Georgia State University?

At Georgia State University, Sahiti applied NLP topic modeling and word embeddings to more than 60 student survey reports across eight courses\. She identified recurring themes in curriculum, teaching, and student experience, visualized them with word clouds, and influenced changes to more than four course structures and faculty\-training programs\. Sahiti also developed a scalable Databricks pipeline for high\-volume web scraping and Python ETL, and deployed Random Forest, Naive Bayes, and Logistic Regression predictive models optimized with k\-fold cross\-validation\. Her feature engineering identified significant factors including distance from home, income, and work\-life balance\.

### What did Sahiti accomplish as a Data Analyst at Zions Bank?

As a Data Analyst at Zions Bank, Sahiti automated server\-health reporting through Tableau dashboards, saving 10 hours of manual work each week\. She also migrated Oracle schemas to DB2 while maintaining data integrity for business\-critical reporting\.

### What did Sahiti accomplish as a contract Data Engineer at Zions Bank?

As a contract Data Engineer at Zions Bank, Sahiti automated server\-health reporting with Tableau dashboards, saving 10 hours of weekly manual work\. She migrated Oracle schemas to DB2 for the TCS Bancs Product while ensuring data integrity for business\-critical reporting\.

### What was Sahiti’s work at Novavax?

As a Data Specialist at Novavax, Sahiti audited more than 120 tables for data risks before data\-science use\. She flagged compliance gaps involving inconsistent data types, missing values, naming conventions, and audit\-trail maintenance, reducing downstream issues by 20%\. Sahiti also served as a Data Governance Intern at Novavax\.

### What other professional roles has Sahiti held?

Sahiti has also held roles as a Graduate Research Assistant and Data Analyst at Georgia State University and its J\. Mack Robinson College of Business, and as a Graduate Engineer at Trio Motion Technology\.

### What kind of work does Sahiti prefer?

Sahiti seeks roles with autonomy and authority to independently own and solve problems\. She is motivated by the full cycle of identifying an issue, implementing an operational solution, and analyzing its impact with data\.

### What is Sahiti’s graduate education?

Sahiti holds a Doctor of Philosophy in Business Administration and Management, General from Westcliff University\. She earned an MS in Information Systems in Big Data Analytics and a master’s degree from Georgia State University’s J\. Mack Robinson College of Business, as well as a Master of Science in Information Technology from Georgia State University\.

### What is Sahiti’s engineering and early education background?

Sahiti earned a Bachelor of Technology in Electrical and Electronics Engineering and an Engineer’s Degree in Electronics Engineering from Bharati Vidyapeeth University College of Engineering, Pune\. She completed high school coursework in Mathematics, Physics, Chemistry, Computer Science, and C\+\+ at Tagore International School, Vasant Vihar\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAAAb9lY4B05LEtNwXoBHmxoRU4SkSj\-aHEFo

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