Nandana Sreeraj

I am an MSc Data Science for Business student at Ecole Polytechnique, currently looking for 4-6 month internship opportunities in France. I have 5+ years of experience in this domain including more than 2 years of Full time experience as a data scientist in an AI based Startup. I was a speaker at PyData Berlin 2023 and an upcoming speaker at Data Science Conference, Europe 2024.

Data Scientist

Censius.ai

Collaborated on client side projects involving audio, image and video data, utilizing LLMs and GANs. Worked extensively on unstructered data to derive relevant information. Developed Gen-AI based MVPs for enterprises in domains like Legal, Marketing and Power Sector

Conducted evaluations of LLMs by employing metrics like Rouge Score, Bert Score, and other relevant scores. Implemented an Encoder-Decoder approach to detect drift in LLMs.

Engaged in data monitoring, focusing on performance, ensuring data quality, and addressing drift issues in structured data.

Junior Data Scientist Intern November 2020 - April 2022

Purplle.com

Applied Learning to Rank (LTR) techniques to improve product ranking, effectively identifying and addressing biases such as position bias, cold start bias, and confidence bias within the data.

Developed search term clustering methods to enhance search result relevance and user experience for specific search queries.

Machine Learning Intern September 2020 - July 2021

Phorena

• Collaborated within a team to develop customized machine learning modules designed for an IoT environment, emphasizing anomaly detection in temperature sensor data.

MSc Data Science for Business, HEC Paris
MSc Data Science for Business, Ecole Polytechnique, Paris
Bachelor of Technology in Computer Science, College Of Engineering Trivandrum (Best Outgoing Student in Computer Science Department)