Suvaleena Paul
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Georgia State University
Manipal Institute of Technology
Suvaleena Paul of Kolkata earned a Master of Science In Analytics degree with a concentration in Data Science In Business from Georgia State University during the fall 2022 semester. More than 3,0...
February, 17 2023 - Verified by Georgia State UniversityIdentifying opportunities for new fraud strategy development using statistical and analytical techniques with the goal of being able to identify and mitigate new and emerging fraud threats
Building and optimizing data-driven, analytically based fraud rule strategies which could encompass application fraud, digital money movement products, device authentication strategy
Optimizing existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies.
Analyzed financial data related to budget and expense and provided meaningful solutions to Toyota Motor North America
Transformed raw critical business data in AWS Redshift using SQL queries for further analysis
Developed Tableau/PowerBI expense analysis reports for purchase order of vehicles for the client
Built a machine learning pipeline for tweet extraction from Twitter for changes in stock prices followed by streaming the data in batches through Kafka topics and running an ML model script in Apache Spark
Developed a Tableau dashboard to visualize the analysis of the predicted test dataset stored in MongoDB
Scraped Twitter using Twint and labeled extracted tweets on Health Technology Discourse during COVID for Sentiment and Emotional analysis using Vader and designed monthly topic models
Handled front-end customization with software development in java for designing web application
Developed back-end integration of banking functionalities and customized APIs in Java for deployment
Received a Performance Based Incentive of INR 5000 for 12 months for graduating the training program
Automated processes and optimized SQL queries utilizing Alteryx and visualized the data in Tableau
Revamped business processes using Business Intelligence tools and automation to increase efficiency by saving 40 hours/month of human engagement on data analysis and database structuring
With a team of 7, organized the first ever Alteryx based Hackathon hosted by the organization
Designed a model using ABC Analysis to maintain an optimum level of inventory per month
Identified excess inventory of additives blocking a capital of approximately USD 10 million and proposed efficient raw material distribution options that led to an overall profit for the firm

