2+ Years of Experience in Coding in Python using libraries such as scikit-learn, Pandas, matplotlib, statsmodels and other machine learning / data science libraries
Very Good Proficiency on writing Applications using Python
Exposure to various Machine Learning and Data science concepts and algorithms
Developing Machine Learning algorithm for classifying user Health / Fitness Data
Developing Machine learning algorithm and analytical techniques for Pattern recognition.
Experienced in both Supervised Machine Learning & Reinforcement Learning
Developing mathematical models related to smart wearables application
Identify/ Provide approach and data to validate the model(s)
Tune the model(s) to improve results
Testing / Profiling the developed model and implement new features from data
Proficient in SQL databases like MySQL, PostgreSQL, Oracle and NoSQL databases like MongoDB
Developing Python application for Business Analytics and Customer Insights
Regression based Predictive models for data forecast
To develop Python Back-end Applications for data storage, data retrieval and Processing
To develop algorithms for smart wearables which are primarily used for health and fitness parameters and gesture recognition
Creating / using a Profiler to validate model improvements
Identify and implement new features from given user data to improve data analysis
To work with Firmware engineers on implementing algorithms tested on python onto the Device Hardware using Embedded C
Documenting Code and Mathematical Models developed in Python
Domains like python development, Firmware Development, Embedded Engineering, Internship with stipend.