Born and brought up in both technology and business, I have played versatile roles in this industry, as a Product Designer and Developer, Business Analyst and Project Manager, Pre and Post Sales, QA and Test Automation, Dev OPS and Data Architect
Started with 99's FoxPro & Visual Basic to today's Rust & Julia, I have been exploring the highest possibility of technology for solving industrial problems. Along with technology, I have also expertise in Health Care, Finance, Intellectual Property, and the e-commerce domain
Requirements and Python package implementation for Visually debugging, logging and testing using opencv and python. Logging and testing using opencv-log package
Configuration Multiple elasticsearch in rails by assigning model specific client.
Get started with Machine Learning using Jupyter notebook in Visual Studio Code. Also Execute python file like notebook file using VS Code.
Setting up tools like Anaconda, Python, Conda, Jupyter Notebook to get started with Machine Learning in Python. Intro on basic python libraries for analysing, visualizing, training and predicting data
Color calibration with color checker using machine learning techniques.Implementing using Partial Least Squares, Root Polynomial Regression and 3D Thin plate spline technique in python.
Deploying machine learning model to aws lambda using serverless framework and its plugin.
Using kaniko and ko, deploy kantive serverless cluster directly from source code without building image locally
Brief intro about Artificial Intelligence (AI), Data Science and Machine Learning. Simple explanation about Linear Regression and its evaluation metrics. Predicting the weight from height
Building a prediction system using Machine Learning from data which have conditional dependence and highly correlated features. Predicted using logistic regression by forming dependency event matrix.