3+ years of experience in Software Engineering/Development using Python
2.5+ years of experience in Machine Learning/ Data Science Engineering
After my successful internship at Teradata in 2016 is what made me dwell in distance
of data sciences, Artificial Intelligence, and machine learning.
The roadmap turned
towards Data Sciences & AI made me join Northbay solutions which, in fact, one of
Data Analytics and ML Amazon’s partner.
You can find my full CV here.
My mission is to create recommendation engines, perform data analytics with open tools to lower the barrier of entry for machine learning applications, promote reproducible science and democratize the access to high-quality machine learning algorithms.
I like programming and problem solving although I make basic mistakes on hackerrank and codality
Amazon Web Services Certified Professional
Specialization in Python Programming
Specialization in Code Quality/Documentation
Specialization in Statistics & Mathematics
Specialization in Algorithms(hardest)
Specialization in Machine Learning
Specialization in Statistics with Python
Specialization in Probability Theory
Specialization in Teradata SQL
Specialization in IOT & Quantum Computing(upcoming)
More than 100+ certification of completion
role: Tech Lead: Data Science & Neptune
Semantic Web Analysis with Graph database automation for their recommendation engines. A real time full query optimization for semantic relations within Companies/Organization.
role: Machine Learning Engineer
Textual Classification for sec.org documents consisting of multiclass and multilabel classes, including custom evaluation criteria and automation of classification and self tunable algorithms.
role: Machine Learning Engineer
Time Series Customer Loyalty Analysis & Predictive Analytics on 50 TB's of data. Mapping of 1000+ columns to 40 useful features which later onward counted in Customer Loyalty Analysis and Predictive Analytics for products.
CONFIDENTIAL CONFIDENTIAL Github Repositoryrole: Alexa SkillKit Engineer
Automation of a Virtual Assistant, Alexa interaction with Evision Education Platform, manipulation and others.
CONFIDENTIAL Project website CONFIDENTIAL Github Repositoryrole: Machine Learning Engineer
Document Grain based classifiation based on their target audience to which organization the problem/law relates to, A Recommendation Engine which works mainly for classification of sub sectional graining of sec.org documents.
CONFIDENTIAL Project website CONFIDENTIAL Github Repositoryrole: Alexa/ NLP Engineer
Artificial Intelligent assistant integration with (data lake) Datawareware house for automation along with BI users.
CONFIDENTIAL Project website CONFIDENTIAL Github Repositoryrole: Machine Learning and NLP Engineer
A virtual assistant with intelligence and huge API access for its intelligence acting as information retrieval, extractor engineer. Along with chatbot and OS automation.
Project website Github RepositoryPython Programming for Absolute Begineer(when I sucked at python), full series is 2h
You will start by learning about python Programming with complete beginner experience. Basic knowledge of usage of computer is required so don't get cocky.
Famous Channel
A guide to picking a model in scikit-learn based on the dataset and task. It tries to give a point to start for beginners, not absolute rules, so take it with a grain of salt.
Blog post Interactive version