• Worked on Midcontinent Independent System Operator (M-ISO) wholesale electricity market data.
• Developed real time fuel price monitoring system that tracks intraday fuel prices from ICE (Inter Continental
Exchange) across all hubs of the Midwest US. ICE is a provider of market infrastructure, data services and technology solutions to a
range of customers. Provided insights with ICE data using data wrangling, analysis, and visualizations.
• Coordinate ServiceNow ticket processes and closure
• Review and approve user system access reviews each quarter for OCS systems
• Achieved 20 minutes to 1 second efficiency improvement of the proprietary data visualization system by improving
modularity and scalability of the code using
• Generated map visualizations and insights on key metrics for shareholder and public reports of 10+ major US power
plants
• Scrum master and administrator of agile processes for a team of 8 including daily scrums, sprint planning, sprint
reviews and sprint retrospectives.
• Developed eLearning and health products using Agile methodology and deployed successfully in 40+ schools.
• Designed, built, managed, and operated the REST APIs in Python for continuous integration and delivery (CI/CD)
framework for backend micro-services using Docker for container orchestration along with Jenkins.
• Building, maintaining, and supporting API gateway infrastructure and associated tools to connect all backend micro-services for cross-product and cross-service accessibility. Used Figma to deliver project requirements to the team.
• Created ~USD 200,000 cost savings through automation of data entry though SFTP sync job
• Designed system architecture to extract data from external servers, trigger and process the retrieved information
using FTP, AWS Lambda, and relational databases using Django.
• Built multiple classifiers to analyze customer reviews and star ratings by implementing Naive Bayes, Logistic
Regression, Support Vector Machine, Random Forest, and XG boost showing F1 scores for different models. Achieved a 0.58 score as the
best score using XGboost. Enhanced the XG boost with Word2Vec F1 score from 0.55 to 0.58 by tuning the parameters like
SMOTE to avoid overfitting.
• Established new processesto facilitate data collection techniques to analyze customer behavior on website. Configure
and utilize Tableau, Google Analytics, Google Tag Manager, and D3js with JavaScript for visualizations to track visitor flow and
interaction on website.
• Mentored 120 students on Data Visualization (Google charts, Orange, Weka), and JavaScript courses. Extensively used Jupyter Hub to help students with Explorative Data Analysis.
Walmart client:
• Migration of store and customer databases from Linux to AWS cloud.
• Automation of data backup infrastructure.
• Accelerated the population of in-store server data by bridging between IBM servers and Walmart system configurations.
Walgreens client:
• Automated the EC2 activities using Lambda, python script and Boto3,
Tasks: Start/Stopping EC2 instances, backing up EC2
Instances, removing unattached EBS Volumes, Deregistering OLD AMIs
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