Data Scientist with 16 years of total IT experience in building applications utilizing Python, R, Java, RESTful API, Microservices, Hadoop, Spark, SQL and PL/SQL and delivering solutions across various domains such as Service cloud & Marketing cloud, Manufacturing, Healthcare, Retail and Telecom Domains.
12+ years of experience as Java Developer.
4+ years of experience as a Data Scientist in building data analytics and machine learning applications using Python, R, Java, PySpark, Hadoop using AWS platform.
4+ years of experience in developing machine learning applications using Keras, PyTorch and Tensorflow using GCP, AWS cloud platform.
My Last project with Timeseries data:
Project:
Human Activity Recognition (IOT Application)
Clients:
The University of Salford, UK
Tools and Technologies:
Python, R, Tensorflow, FFNN, RNN LSTM, Keras, NumPy, Pandas, Matplotlib, Shiny R, Power BI, Kafka, Hive, Apache Cassandra, Google Dataproc, Google BiqQuery, Google Data Studio, Google AI and MySQL
Description:
This project presents a novel system based on the Internet of Things (IoT) to Human Activity Recognition (HAR) by monitoring vital signs remotely. I used machine learning algorithms to determine the activity done within four pre-established categories (lie, sit, walk and jog). Meanwhile, it can give feedback during and after the activity is performed, using a remote monitoring component with remote visualization and programmable alarms.