Nirmisha Bollampalli

Senior Data Scientist @Bitvore

Irvine, CA, US
MOBILE NUMBERS
+13•••••••29

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WORK HISTORY

Oct 2017 — Present

Senior Data Scientist @Bitvore

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Orange County, CA, US

Advanced Machine Learning Implementation: Proficient in Python with extensive use of libraries like NumPy, Pandas, and SciPy. Skilled in building and optimizing models using TensorFlow and PyTorch, enhancing decision-making and business operations- Leadership in ML Project Delivery: Directed the development of a financial data summarization system using GPT-4 and an automated approval system with RoBERTa-based transformers, significantly improving process efficiencies- Innovation with Large Language Models: Utilized GPT-3.5 and GPT-4 to overhaul geo-analysis systems and content summarization, markedly increasing accuracy and extending market insights globally- Strategic Cross-Functional Collaboration: Worked closely with product teams and engineers, guiding data analysis initiatives and aligning technological solutions with strategic business objectives- Commitment to Professional Growth: Continuously enhancing skills through industry-relevant courses like Generative AI by Andrew Ng and active participation in professional communities, keeping pace with evolving AI technologies.

EDUCATION

N/A

University of Southern California

Master's degree, Computer Science

2012 — 2013

University of Southern California

Master's degree, Computer Science

SKILLS

C#OopJqueryWeb ApplicationsJunitData StructuresCssTomcatSqlLinuxJavascriptC++CProgrammingGitPhpXmlRestAjaxDatabasesOracleMac OsNetbeansJavaObject Oriented DesignSelenium TestingWeb CrawlingMysqlServletsSoftware EngineeringMercurialSpringHbaseCore JavaAlgorithmsHtmlCodeigniterWindowsEclipse

ABOUT NIRMISHA BOLLAMPALLI

Accomplished Data Scientist with a strong background in software engineering, possessing a deep understanding of natural language processing, entity analysis, and machine learning. Proven track record of delivering innovative solutions that enhance business operations, reduce manual effort, and drive customer engagement across multiple sectors, including financial services. Skilled in deploying robust models using state-of-the-art AI technologies to extract meaningful insights from large datasets.

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