# SAI AKHIL SADULA - Data Analyst
Source: https://hello.cv/saisadula
Baltimore

## Links
- LinkedIn | https://www.linkedin.com/in/saiakhilsadula

## About
Highly analytical Data Analyst with 4+ years of experience transforming complex datasets into actionable insights across web, app development, and digital marketing domains. Expert in Python, SQL, Tableau, and Power BI, with a proven ability to design interactive dashboards, optimize data pipelines, and drive business performance through cloud-based analytics. Leverages agile methodologies and cross-functional collaboration to enhance operational efficiency and data governance.

## Work
### Data Analyst | BCBS - Maryland, USA
Currently leads data analysis initiatives at BCBS, leveraging advanced analytics and visualization to optimize healthcare operations and patient care.
- Designed interactive Power BI dashboards to track provider performance and claims status, reducing reporting time by 6 hours/week.
- Built predictive models using Scikit-learn and logistic regression to identify high-risk patient populations, supporting targeted care programs for 25,000+ patients.
- Automated ETL pipelines with AWS Glue and SQL Server, decreasing manual data handling errors by 40% across clinical data systems.
- Implemented HIPAA-compliant data governance protocols, ensuring 95% compliance with PHI data policies and improving audit readiness.
- Collaborated with data engineering teams in agile sprints, enhancing backlog delivery velocity by 15% using Jira and Scrum.
### Graduate Assistant | University of Maryland Baltimore County
Served as a Graduate Assistant, developing analytical tools and automation scripts to enhance academic operations and data management.
- Created interactive dashboards in Tableau and Power BI to track student performance metrics, enhancing instructor decision-making and feedback processes.
- Developed Python automation scripts to streamline grading workflows, reducing manual effort by 30% through automated data processing.
- Leveraged AWS S3 and EC2 services for scalable data storage and computation, ensuring fast and reliable data management for large student datasets.
### Data Analyst | Airbnb
Analyzed extensive datasets at Airbnb to drive strategic insights, improve user experience, and optimize operational efficiency across global markets.
- Generated 120+ SQL-based analytical reports, tracking 10M+ guest bookings and revenue trends across 50+ global markets to inform regional strategy.
- Designed and implemented K-Means clustering models on 1.2M user records, enabling personalized campaigns for 600,000+ users.
- Built and managed a 15M+ record Snowflake data warehouse, improving query performance for cross-functional dashboards.
- Automated 25+ recurring data workflows via Azure Data Factory, reducing manual effort by 80%+ and enhancing pipeline reliability.
- Developed interactive Tableau dashboards to monitor refund trends and fraud alerts across 20+ markets, accelerating fraud detection by 75% (from 48 to under 12 hours).
- Standardized cleaning of 12 mission-critical datasets using Pandas, eliminating 95% of inconsistent entries and improving model training data integrity.
### Data Analyst Intern | Trinity Technolabs
Contributed as a Data Analyst Intern, developing dashboards and optimizing data processes to improve operational efficiency and reporting.
- Developed automated Excel dashboards with pivot tables and macros to deliver weekly summaries on 10,000+ energy usage records, enabling faster executive-level reviews.
- Supported ETL pipeline design using SSIS, improving data integration across 3 business units and reducing sync errors in supply chain data by 30%.
- Wrote intermediate SQL queries in PostgreSQL to extract monthly KPIs from 12,000+ logistics records, tracking 200+ shipments/month.
- Performed data cleaning on 500K+ supply chain rows using Pandas, achieving 95% data quality score as verified by internal audit teams.
- Analyzed inventory data spanning 2 fiscal years, uncovering seasonal overstock trends that led to an estimated reduction of 8,000+ excess units across key SKUs.

## Education
### University of Maryland Baltimore County | Data Science
### B V Raju Institute of Technology | Computer Science Engineering

## Skills
### Big Data & Databases
- MySQL
- MongoDB
- PostgreSQL
- BigQuery
- AWS Redshift
- SQL Server
- SSIS
- SSAS
- ETL
### Cloud Technologies
- AWS (S3, EC2, Lambda, Glue)
- Azure
### Programming Languages
- Python
- SQL
- R
### Data Visualization
- Power BI
- Tableau
- MS Excel (VLOOKUP, Pivot Tables, Macros, VBA)
### Data Processing Libraries
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- TensorFlow
- Apache Spark
- PySpark
### Machine Learning
- Regression
- Classification
- Clustering (K-Means, DBSCAN)
- Decision Trees
- Neural Networks
- NLP
### Data Warehousing & Modeling
- Snowflake
- Data Warehousing
- Data Governance
- Data Cleaning
- Data Wrangling
- Data Modeling
- Predictive Analytics
- Data Mining
- Automation Scripts
### Methodologies
- SDLC
- Agile
- Scrum

## Projects
### Waste Image Classification System
Developed a system for classifying waste images to support recycling and waste management initiatives.
### Uber Trip Data Analysis
Analyzed Uber trip data to identify patterns, optimize routes, and improve operational efficiency.
### Healthcare Data Analyst
Performed data analysis on healthcare datasets to extract insights for better patient outcomes and operational efficiency.

## Source
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