A dedicated professional who entails a crisp knack for optimized programming and is intrigued majorly by Data Science and ML operations. Looking forward to growing as a Machine learning professional.
Overview
7
7
years of professional experience
1
1
Certification
Work History
ML Engineer
Tiger Analytics
11.2024 - Current
Created and maintained MLOPs pipelines for Data Compilation, Cleaning, Manipulation along with model training, monitoring, retraining and inferencing.
Created and maintained infrastructure for ETL pipeline for CI/CD along with introducing the version control using Databricks.
Implemented Dynamic code for Data Services viz., Data Quality, Data Drift, Anomaly detection on both Text and Numerical Data along with the state of art dashboards respective to the features.
Implemented code for Feature Engineering and Data Engineering so as to dynamically handle the incoming data using the generic and most prominent algorithms and methodologies for the same.
ML Engineer
Zolnoi Innovations
08.2023 - 11.2024
Designed the ETL pipeline to fetch relevant data from various data sources and merge the data when required.
The pipeline entails preprocessing the data and make it usable for further operations as per the functionality requirements.
Deployed the pipeline for automated executions at regular intervals using Prefect and Docker.
The pipeline is implemented in python and deployed to cloud EC2 through github actions to deliver and S3 bucket for packing and unpacking.
Trained various ML models to serve the requirements laid by the business cases.
The models are based on unsupervised learning and the algorithms used are Autoencoders, Clustering and Association amongst a few.
Once trained the models are depoyed for inferencing and retraining using ML Ops famework BentoML.
The model training and is implemented in python and deployed to cloud EC2 using github actions to deliver and S3 bucket for packing and unpacking.
Data Engineering Analyst
Accenture
10.2021 - 07.2023
Acting as an Individual contributor, I merged the data sets whilst keeping the original data intact and perform various data filtration and transformation operations.
Using python modules such as pandas, numpy and scipy.
Also I built and enhanced the GUI which is built using WX python.
The deployment was made using Microsoft Azure.
Software Engineer
Tech Mahindra
11.2018 - 10.2021
Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.
The requirement precisely was to verify specific values returned by the inbuilt command line tools to examine the system performance.
Python scripts were built from execution of the commands to fetching the output to extracting the relevant value to verifying where the value stands in respect to the threshold.
Education
M.Tech - Data Science & Machine Learning
PES University
Bengaluru
04.2001 -
B.Tech - Computer Science
Jaypee University of Engineering & Technology
Guna
04.2001 -
Skills
Model Training Frameworks
Tensorflow
Pytorch
Scorch
ML Algorithms
CNN
DNN
LSTM
Auto Encoder
Linear Regression
Data Visualisation
Plotly
Matplotlib
PowerBI
Database Management
SQL
MongoDB
PostgreSQL
Data Processing Modules
Pandas
NumPy
SciPy
PySpark
Programming Language
Python (OOP)
ML Ops and ETL
Prefect
BentoML
Web API Tools
Flask
FastAPI
Cloud
EC2 (AWS)
Microsoft Azure
Certification
2018, Big Data Analytics, Acadgild, Bangalore, Karnataka