Waste Image Classification System
Summary
Developed a system for classifying waste images to support recycling and waste management initiatives.
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
BCBS - Maryland, USA
|Data Analyst
Baltimore, Maryland, US
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Summary
Currently leads data analysis initiatives at BCBS, leveraging advanced analytics and visualization to optimize healthcare operations and patient care.
Highlights
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.
University of Maryland Baltimore County
|Graduate Assistant
Baltimore, Maryland, US
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Summary
Served as a Graduate Assistant, developing analytical tools and automation scripts to enhance academic operations and data management.
Highlights
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.
Airbnb
|Data Analyst
Bangalore, Karnataka, India
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Summary
Analyzed extensive datasets at Airbnb to drive strategic insights, improve user experience, and optimize operational efficiency across global markets.
Highlights
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.
Trinity Technolabs
|Data Analyst Intern
Bangalore, Karnataka, India
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Summary
Contributed as a Data Analyst Intern, developing dashboards and optimizing data processes to improve operational efficiency and reporting.
Highlights
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
Baltimore, Maryland, United States of America
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Masters
Data Science
B V Raju Institute of Technology
Narsapur, Telangana, India
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Bachelor 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
Uber Trip Data Analysis
Summary
Analyzed Uber trip data to identify patterns, optimize routes, and improve operational efficiency.
Healthcare Data Analyst
Summary
Performed data analysis on healthcare datasets to extract insights for better patient outcomes and operational efficiency.