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Eshwar Sai Prasad R

@user.2500101

Machine Learning Engineer & Data Engineer

Chennai, India

Vivriti Asset ManagementImarticus Learning

Eshwar Sai Prasad R is a detail-oriented machine learning engineer with expertise in developing, training, and deploying ML models using Python, Scikit-learn, TensorFlow, and Keras. He has professional experience at Amazon as an ML Data Associate and at Vivriti Asset Management as a Data Engineer, where he built scalable pipelines, automated workflows, and improved data quality. Eshwar has also independently developed freelance projects including an LLM-based client response system and a Kafka-based object tracking solution.

Experience

Data Engineer

Vivriti Asset Management

•Nov 2022 - Mar 2023

Data standardization of clients using NLP techniques. Hands-on with AWS services (S3, Athena, Glue, DynamoDB, Redshift, Lambda). Developed algorithm to extract mismatched columns using Pandas, NumPy, Semarchy. Automated file flow from mail to MS SharePoint. Improved code modularity in HiveQL achieving 20% reduction in query response time. Built scalable pipelines and maintained APIs with PySpark and REST API.

ML Data Associate

Amazon

•Aug 2019 - Mar 2022

Generated metrics reports via SQL and published them on Power BI dashboards. Collaborated with cross-functional teams handling data-driven core operations using AWS cloud. Involved in data preparation for Text Analytics, Speech Analytics, NLU, and Model building. Conducted statistical tests for NLP of Amazon devices. Handled performance enhancement projects in Python.

Education

Imarticus Learning

PGDM

Data Analytics and Machine Learning

Jan 2022

Batch PGA-22

Rajalakshmi Engineering College

Bachelor of Engineering

Computer Science Engineering

Jan 2014 - Jan 2018

Licenses & Certifications

BigData with Hadoop and Spark

CloudxLab

Skills

Python
SQL
ETL
Machine Learning
Deep Learning
AWS
Power BI
Tableau
Neural Networks
NLP
OpenCV
PySpark
Statistics
scikit-learn
TensorFlow
Keras
Pandas
NumPy
FastAPI
React
MongoDB
Docker
Flask
SQLite
S3
AWS Athena
AWS Glue
DynamoDB
Redshift
Lambda