I am a Full Stack Developer with 9+ years of experience, skilled in Python Web Application (Flask, Django), Python REST API, Data (Analysis, Wrangling, Cleanup, Pre-Processing & Visualization etc.), Lotus Notes & XPages development. I have been working in the field of computer programming for almost a decade and highly passionate about Machine Learning & Data Science.

I actively involve myself in Agile Scrum Sprint Planning, Daily Scrum Meetings, Sprint Reviews, Sprint Retrospective Meetings. Working experience on Agile Kanban framework and managing incidents and requests on ServiceNow tool.

I am a quick learner and result oriented person, enjoy working both in team and individually.

My skills include Python 3.x, Python (Flask & Django), WTForms, Jinja Templating, Python REST API, Blueprint, Automation (unittest, pytest), ORM, Python for Data Science, Supervised, Unsupervised, Reinforcement Algorithms, Data Analysis, Data Wrangling & Clean-up, Data Visualization, IBM Watson Services, Knowledge on Docker, Android (Basic) etc.

I have had experience of working with both SQL & NoSQL databases and have utilized MySQL, SQL Server, Cloudant (NoSQL), CouchDB (NoSQL), Lotus Notes Db etc. based on different projects.

I have working knowledge on Cloud Platforms like AWS, Google Cloud & IBM Bluemix and have used various services like S3, Transcribe, IAM, Google Map API, IBM Watson, Object Storage, Cloudant etc. into various projects.

I enjoy solving problems with applied machine learning, predictive analysis, spatial analysis, deep learning (text, audio & visual).

I am also able to create interactive web applications and dashboards using Python's Web framework, jQuery, Dojo, JavaScript, Bootstrap, HTML5, CSS3, Ajax, XML, JSON etc.

I am an MBA graduate and take full advantage of my financial & business skills that I had learned in theory. This leads me to solve any problem in a much productive way.

Additionally, I have good skills in math & statistics essential to work in machine learning.

Note: I have created an IBM Watson based solution for municipalities to manage & report (solid garbage's & dead animals). I have extensively used the Watson Visual Recognition service, Cloudant Db and Python to accomplish the working model. The solution was also selected for IBM Watson Build 2018 challenge.

Presently, I am working on an own product for auto transcribing the recorded meetings using AWS Transcribe service and formatting the transcription into a real MOM template. I am using other services like Microsoft Graph API for interacting with a live meeting via a bot and fetching the other details like (Title, Date/Time, Location, Organizer, Chair, Participant details etc.) and AWS S3 service storing the objects like Images, Audio files, Text files etc.

I am fluent in English and love to communicate.