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Sarath Lavu

@sarathlavu

Data Scientist at HiLabs

Bangalore, India

https://www.linkedin.com/in/sarath-lavu/

HiLabsIIT KANPUR

Sarath Lavu is a Data Scientist at HiLabs with a background in Economic Sciences from IIT Kanpur. He has expertise in developing LLM-based pipelines, multi-class classifiers, and optimizing data processing workflows. His technical skills include Python, PySpark, and AWS, complemented by strong analytical experience in econometrics and time series analysis.

Experience

Data Scientist

HiLabs

•Jun 2021 - Present•Bangalore, India

Developed a question to report generation pipeline using LLMs deployed on sagemaker to fetch relevant data & plot graphs. Implemented a multi-class classifier to map raw columns present in data. Achieved an accuracy of 98%. Enhanced data processing pipeline efficiency by up to 8x through utilization of pandas’ built-in filtering, optimization of data types, and targeted performance enhancements. Designed and implemented the automation of data extraction, cleaning and parsing process, leading to a 70% reduction in manual work. Restructured and optimized the code base to shift from windows to linux aws cloud resources thereby reducing the costs by 50%.

Data Science Intern

HiLabs

•Feb 2021 - May 2021•India

Implemented a classifier model to predict the credibility of a healthcare related webpages. Achieved 90% F1 score using LightGBM classifier. Developed scripts to extract, clean and parse unstructured data in various formats such as html tables, pdfs from more than 10 different health insurance websites.

Education

IIT KANPUR

MS

Economic Sciences

May 2021•Grade: 9.5 / 10

Dual Degree

IIT KANPUR

BS

Economic Sciences

May 2020•Grade: 7.6 / 10

JUPITER JUNIOR COLLEGE

BIE, A.P

May 2016•Grade: 97.9%

Skills

Python
R
Scala
Flask
PySpark
Hadoop
MySQL
Git
AWS S3
EC2
SQS
Pandas
NumPy
Scikit-Learn
Matplotlib
SciPy
statsmodels
Machine Learning
Data Mining
Applied Probability and Statistics
Econometrics
Introduction to Bayesian Analysis
Program Evaluation: Methods and Applications
Macroeconomics