Anoushka Dasgupta
Milwaukee,WI
Summary
Results-driven Analytics Engineer with extensive experience in building and optimizing data pipelines for AI/ML systems. Specialized in implementing automated monitoring solutions, data processing enhancements, and compliance frameworks at Northwestern Mutual. Proficient in designing ETL pipeline designs and developing robust validation systems that drive data quality and system reliability. Demonstrated success in collaborating across teams to deliver scalable analytics solutions that advance organizational objectives.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Analytics Engineering II
Northwestern Mutual
Milwaukee
01.2024 - Current
- Engineered and optimized data processing strategies for large language models, implementing efficient chunking mechanisms and experimental indexes to enhance model performance and data retrieval capabilities
- Designed and implemented automated compliance monitoring system for AI models, developing real-time validation checks and reporting tools to ensure adherence to business policies and regulatory requirements
- Architected comprehensive pipeline health monitoring system integrating cloud services, featuring automated validation checks and alert mechanisms to maintain system reliability and data quality
- Developed automated user analytics pipeline using API integrations, enabling efficient tracking of user interactions and behavior patterns while implementing robust data validation frameworks
Analytics Engineering Intern
Northwestern Mutual
Milwaukee
06.2023 - 12.2023
- Designed and implemented scalable ETL pipelines to extract, transform, and load data, resulting in valuable insights for stakeholders
- Inspected, cleansed, transformed, and modeled data to ensure data quality and reliability
- Utilized tools such as Databricks and Domino to load historical data into modern data platforms, improving data accessibility and efficiency
- Automated processes and replaced manual steps using Python, reducing time and effort required to access and maintain data
- Collaborated closely with data scientists and analysts to understand their data requirements and assisted in creating data models that supported advanced analytics and reporting needs
Technician
UWM Campus Technology Support
04.2022 - 05.2023
- Communicate with a consultant and advise the next appropriate step in classifying and troubleshooting an issue
- Answer technical questions from consultants and communicate with the team
- Resolved 20+ trouble tickets per day through efficient triaging of problems
- Maintained a 99% satisfaction rating in monthly end-user scoring through applied interpersonal skills and providing fast solutions
Associate Software Engineer
Accenture
Bangalore, India
05.2021 - 01.2022
- Received training on Big Data, Hadoop Distributed File System Hive, Scala, and Spark
- Started as a contract employee for Bank of America and assisted them in defining and reviewing requirements and use cases for their application
- Fixed defects and performance problems discovered during testing and created technical documentation for the software
Education
M.S. - Computer Science
University of Wisconsin – Milwaukee
12.2023
B.Tech - Computer and Communication Engineering
Manipal University
Jaipur, India07.2021
Skills
- Python
- SQL
- PySpark
- Databricks
- ETL Pipeline Design
- Data modeling
- Prompt engineering
- CI/CD
- Git
- Monitoring and Observability
Certification
- LLM102x: Large Language Models: Foundation Models from the Ground Up
- LLM101x: Large Language Models: Application through Production
Projects
Detecting Malicious URLS to prevent Cyber Attacks and Data Breach, Developed a novel platform, which analyzed and detected bad URLs by comparing them to an existing database using the lexical and host-oriented features of URLs. Performed data preprocessing, feature extraction and various machine learning algorithms on the processed data, to achieve the expected result. The system achieved an accuracy of around 91%. Runner Application, The application was designed to return an optimized path using graph theory algorithm. Implemented HTML, CSS, and Javascript to create the user interface. Enhanced map data visualization for the web application with javascript using Mapbox API. Mining Google Playstore for Automated Classification of App Reviews and Rating, Developed a web scraper using Selenium Web Driver and Beautiful Soup library, which collects the dataset for this project. Created an efficient platform, which worked on extracting user reviews of messenger applications and classified them into specific classes, to help developers resolve bugs and release quick updates. This system achieved an accuracy of 88-90%, varying according to the model implemented.
Affiliations
- Volunteered at various STEM events and summits, including CSforAll Summit, Girls & STEM, and Summerfest Tech event
Languages
English
Full Professional
Hindi
Full Professional
Timeline
Analytics Engineering II
Northwestern Mutual
01.2024 - Current
Analytics Engineering Intern
Northwestern Mutual
06.2023 - 12.2023
Technician
UWM Campus Technology Support
04.2022 - 05.2023
Associate Software Engineer
Accenture
05.2021 - 01.2022
M.S. - Computer Science
University of Wisconsin – Milwaukee
B.Tech - Computer and Communication Engineering
Manipal University