Nithin Portfolio

Hey there,

(773)302-7427

I am Nithin Gowda.

and I'm a

nithinshivgowda29@gmail.com

Combining machine learning mastery with business intelligence, I develop intelligent solutions that

optimize processes, mitigate risks, and deliver measurable results.

WORK EXPERIENCE

Data Scientist/Software Developer

Summary: Led the use of advanced NLP techniques, including NER, LSTM, and BERT, to process 70,000 clinical trial data points for Myasthenia Gravis research.

Business Impact: Increased medical information extraction accuracy by 40%, enabling the identification of new patterns and treatment options, ultimately improving patient outcomes and reducing economic burden.

Network Connecting Dot Polygon Background. Concept of Network Business, Technology, Data and Chemical. Dot Connect Line Abstract Background Represent Futuristic Network and Data Transformation

May 2023 - Present

Jan 2024 - May 2024

Dec 2020 - Aug 2022

Jun 2019 - Nov 2020

Generative AI Engineer

Summary: Led a capstone project at CCC Intelligent Solutions to develop a Gen AI-powered SQL query engine using OpenAI GPT-4, Langchain, and advanced prompt engineering.

Business Impact: Improved answer accuracy by 35%, expanded answerable queries by 40%, and reduced errors by 75%, empowering CCC Intelligent Solutions to make efficient data-driven decisions and gain a competitive advantage.

Senior Data Engineer/ Scientist

Summary: Led a team of 9 Data Scientists to implement a Single Source of Truth (SSOT) solution for TIAA's customer data on Snowflake. Conducted A/B testing to analyze ad components and their impact on user engagement.

Business Impact: Improved customer data accuracy by 20%, enabling data-driven decision-making and enhancing the customer experience.

Data Engineer/ Scientist

Summary: Built and managed ETL pipelines to extract data from Teradata, load it into Hadoop, and transfer it to Hive and SAP HANA for the SPINE vendor assessment tool.

Business Impact: Cut data processing time by 40% and increased speed by 25% through optimized ETL pipelines, supporting Walmart's vendor assessment processes.