Rushali Naikoti
Urbana,Illinois
Summary
Seasoned Analyst with extensive experience in deploying large-scale enterprise solutions, optimizing data pipelines, and enhancing data analytics capabilities. Proven track record in collaborating with cross-functional teams to meet business needs, improve processes, and exceed performance requirements. Skilled in data visualization, machine learning, ETL processes, and cloud technologies. Recognized for strong communication, task prioritization, and delivering data-driven insights that support strategic decision-making.
Overview
5
5
years of professional experience
2
2
Professional Certifications
Work History
Data Analyst
Exelon Corporation
Champaign, IL
09.2023 - 05.2024
- Analyzed reel tracking technology to identify performance variations across locations, optimizing costs and enhancing revenue through in-depth data analysis
- Designed and implemented ETL pipelines using AWS Lambda and Apache Kafka for real-time processing of sensor data from reels, and utilized AWS S3 for secure data storage, while developing complex SQL queries for MySQL databases to ensure real-time data availability and support data extraction
- Leveraged CI/CD practices with GitHub Actions to automate integration and testing processes, and created Tableau visualizations to provide actionable insights and support investment decision-making on reels.
Business Technological Analyst
Deloitte Consulting India Pvt Ltd.
09.2021 - 06.2023
- Successfully deployed Workday Enterprise Management cloud for two prominent US clients, including a leading American Multinational retail corporation with a chain of supermarkets and an American Healthcare retail corporation
- Efficiently streamlined business operations for clients by seamlessly integrating finance, payroll, and HR data into a unified system, utilizing XSLT code for data integration from legacy systems to Workday (EIBs, Studio, Reporting, Connectors)
- Developed REST and SOAP APIs alongside constructing interactive dashboards for enhanced HR operations
- Automated Business Processes by developing Chatbot by creating API's for one of the clients which helped them in easy incident management, making retail store operations easy
- Worked on a project from end to end including design calls, unit testing, SIT, E2E testing, and post-production support
- Ensured end-to-end system integration and interoperability of vendor system and workday by proactively communicating with clients and collecting all the required connectivity details which led the successful go-live of the project
- Received an Applause Award for my dedication and contribution to the successful completion of the project.
ML Intern
TVASHTAA Data Solutions
05.2019 - 08.2021
- Developed and optimized data pipelines using Apache Kafka and Spark Streaming, and built machine learning models with Python and AI/ML libraries to enhance data analytics capabilities
- Collaborated with the team to gather requirements and translate them into technical solutions, ensuring alignment with project goals
- Implemented data ingestion modules, designed scalable ETL pipelines, and processed large datasets using Big Data technologies such as Apache Spark and Hadoop
- Created data visualizations and reports to present findings and insights to stakeholders, aiding in data-driven decision-making.
Education
Master of Science - Business Analytics, United States
Gies College of Business, University of Illinois At Urbana-Champaign
Champaign, United States05.2024
Skills
- Data Visualization and Presentations
- Data Cleaning
- ETL processes
- SQL
- Python Programming
- Tableau Software
- R Programming
- NoSQL Databases
- Jira, Rally
- KNIME
- Machine Learning
- AWS
- Azure
- Google GCP
- Hadoop
- Spark
- Hive
- Power BI
- GitHub Actions
- Java
- Matlab
- Apache Kafka
Certification
- IBM Data Analyst Professional Certification
- KNIME Certification
Campusinvolvement
University of Illinois Urbana Champaign, Champaign, Illinois, Research Assistant, 09/2023, 05/2024, Reviewing eight different strategic management journals, to address the set of critical issues relating to the use and interpretation of count data models in strategic management research
Accomplishments
- Achieved recognition with an Applause Award through effectively contributing to the successful completion of the project.
- Managed a team of 30 members and oversaw an entire technical event as Joint Secretary for the ISTE Student Chapter GNITS.
- Earned the Certificate of Excellence in 2017-2018 and 2020-2021 for outstanding academic achievement among 180 students in the Electronics and Communication Department at GNITS.
Projects
Modelling for Property Valuation:
- Improved dataset compatibility by selecting variables based on correlation and distribution analysis. Used the random forest model, which was trained on a subset of variables, to estimate the price of homes for sale, particularly in Cook County. Created and contrasted several regression models, including random forest, lightgbm, lasso regression, and linear regression, to determine which model produced predictions that were most accurate and had the least amount of error
Integration of Cloud-Optimized Data Ecosystem Project:
- Established scalable MongoDB clusters in the cloud for secure dataset management, migrated Yelp data from Kaggle, converted JSON to data frames using Python for in-depth analysis, facilitated a connection between KNIME Workflow and MongoDB, integrated NFT data from Flipside using a Python API connection, and enabled real-time retrieval of NFT sales information for seamless workflow integration
The Impact of SEC Filing Similarity on Tech Company Stocks:
- Analyzed the relationship between stock prices and similarities in SEC filings, using information from the study "The Positive Similarity of Company Filings and the Cross-Section of Stock Returns." Examined data for 8 tech companies spanning five years (2018–2022) in order to verify the study paper's hypothesis using Text scraping techniques to create a similarity index, which was then used to track its direct impact on stock prices
Timeline
Data Analyst
Exelon Corporation
09.2023 - 05.2024
Business Technological Analyst
Deloitte Consulting India Pvt Ltd.
09.2021 - 06.2023
ML Intern
TVASHTAA Data Solutions
05.2019 - 08.2021
Master of Science - Business Analytics, United States
Gies College of Business, University of Illinois At Urbana-Champaign
- IBM Data Analyst Professional Certification
- KNIME Certification
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