Python Developer | Data Science | Django | Full Stack Developer Platform Planning and Designing at Tata Communications
Professional web developer with a brief but a very insightful career in data-driven decisions for platform designing and involved in business opportunities, PoC as well as website development. Experienced Software Engineer with a demonstrated history of working in the telecommunications industry and is handling various responsibilities that are helping the company as a whole to move forward in the telecom industry. Skilled in Python as well as handled dataset and has a decent knowledge of Data analysis as well as in Data Science. Strong engineering professional with a Bachelor of Engineering focused in Computer Engineering.
Mumbai, India vinay-bhat-a092b8154 vvb-1997 [email protected]
July 2019 - Present
Developed and implemented a machine learning tool that provides an estimated date for the service delivery for which helped increase by 31% of revenue.
Helped in the improvement of services to customers as well as in new installation by providing tools to visualize and analyze various PoPs across India.
Providing support as well as designing and implement various tools that speed up the decision-making process.
Successfully deployed tool to analyze and provide an estimated location for connection between two ASN.
Worked on gathering data for any business opportunities in the market across the globe.
Provided an insightful report for migration from a legacy system for web stack to Django environment and leading the team to smoothly transition to the new environment
Dec 2017 - Jan 2018
Provided services in various train management systems such as Freight Operations Information System (FOIS), Passenger Reservation System (PRS), and Unreserved Ticketing System (UTS).
Worked with different systems and architectures which are essential in communications such as ISDN, VoIP, and DSLAM.
Installed hardware communications equipment on-site and integrated with software for monitoring of systems remotely.
Understanding the dynamics of any opportunities or threat to any potential traffic drop from or towards top customers across the globe and to analyze the reason and subsequently discover a solution to the problem. For an efficient and accurate analysis there are various python scripts comprising various tools such as pandas, requests and several APIs calls which collects as well as analysis crucial data to monitor and alert for any changes in customer traffic.
The main goal for the project was to explore an untapped market or to find any opportunity for the existing business. This was done by thoroughly analyzing and studying every changing market's current background and major players as well as making futue predictions.
Create and implemented a working system that can provide a probable location of the connection between two AS networks. The system mainly relied on the various python packages such as pandas, requests, and various APIs to collect accurate data for analysis and finding the probable connection or location.
Developed and deployed a very precise machine learning model that can be used by the installation team to provide a rough ETA required for the service which can be quoted to the customer. For the UI, Flask was used as a backend framework for customer requests and pass the inputs to the model for processing and predicting the output to the user, and the frontend is handled by jQuery.
Worked on providing a better visualization tool for resources across India which can be used by the service team as well as product managers to provide necessary services to the customers as well to provide product managers to take accurate business decisions. Based on the updated as well as maintaining a historical record for any changes in the POPs across India which is stored in a secure SQL server and using geopy for a city to geo coordinates.
Implemented an automated script with a frontend UI that can be used by the product managers to have a detailed as well an overview of various client-side resources. For the portal, the LAMP structure is used and the python script processes the inputs and generates the summary report which is sent to the user automatically.
Jun 2014 - May 2018
Jun 2012 - May 2014
Jun 1999 - May 2012
Data Analysis Machine Learning Business Insights Python Automation
Helped in understanding as well as providing workarounds for the various hurdles faced by special candidates during interviews. Preparing toys and games for students which can ignite their aptitude towards science and maths.
This patient healthcare system provides automated laboratory tests, the appointment system, infrastructure for medical records with security for an unauthenticated person or entry, and GPS features the patient can access their medical data remotely.
The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.