Snehashis Jha is an experienced Data Scientist and ML Engineer specializing in the design and deployment of robust ML pipelines. He has professional experience at Accenture and Aprolyx, focusing on model training, MLOps, and cloud deployment on platforms like AWS and GCP Vertex AI. His technical expertise includes data cleaning, NLP, Computer Vision, and advanced programming in Python.
Experience
ML Engineering Analyst
Accenture
Project scoping; Managing and structuring huge datasets for model training in real time; Model training on H2O Driverless AI for financial data; Design of custom components for kubeflow and TFX; Deployment of ML pipelines on GCP vertexAI endpoints; Deployment of ML pipelines on AWS lambda. Projects included asset development for GCP vertexAI pipeline and project scoping for data engineering and model training pipeline on AWS for on-premise architecture migration.
Project Assistant (Level - III)
CSIR-CSIO
Real-time deployment project entitled – Pilot deployment of Intelligent Elephant Movement Detection and Alert System. Responsibilities included sensor data acquisition, multivariate prediction with neural networks, dynamic-data monitoring, and development of data analysis tools.
Data Scientist II
Aprolyx Technologies India Pvt Ltd
Intelligent system development for anomaly detection for faulty machinery using ML algorithms.
Assistant Professor
RIET
Served as Deputy HOD, dept. of ECE, and Project coordinator of Under Graduate Research Wing (UGRW).
Education
NIT Rourkela
Master’s Degree
ECE
SIT, WBUT
Bachelor’s degree
ECE
Licenses & Certifications
Deep Learning and Applications
IIITDM Jabalpur
Python for data science
R. Renagaswamy (IIT Madras) / NPTEL online Courses
Machine Learning
Coursera (Andrew Ng)