Name: Arun Kumar Palani
Experience : 5 years
Native: Indian
Address: Redhills, Chennai, TN.
Zip code: 600052
Email: 231996arunkumar@gmail.com
Status: Single
2020 - Current : MBA IS- Annamalai University.
2018-2019 : PGDM Industrial Relation & PM - First Class
Annamalai University - DDE.
2013-2017 : Bachelor of Engineering in ECE - 8.34(Cgpa)
Valliammai Engineering College( SRM groups of college).
2013-2011 : Higher Secondary Schooling - 94%
Dharam Hindhuja Matric Hr.sec School ( Hindhuja groups).
2010-2011 : SSLC - 92%
Ramakrishna Matriculation school
Have 5 years of Experience in software development - Full stack developer, Front end web design, Cloud technologies.
Project 1 : Global Payments.
GP is a financial sector project where we can on-board Merchants to use our payment gateway. So every transaction the merchant is making, based on the transaction limit we will provide them discounts and also transaction commission to the person who on-boards that merchant.
Role: Developer
Technology:
Tools : Visual Studio 2017
Operating System : Windows 8.1
Base Language : C#
Application Platform: MVC,WEB-API,Vue- JS.
SDLC : Agile
Source Control Tool: Git Hub
Continuous Integration Tool: Team-city, Build Master
Project 2 : Trans-union - Rental screening.
Cibil score calculator project for the people who are searching for rental house and house leasing policy. Based on the cibil score of the person the landlord may decide to give their for rent.
Role: Developer
Technology:
Tools : Visual Studio 2015
Operating System : Windows 8.1
Base Language : C#
Platforms Worked: MVC, WCF Service, API, Knockout JS.
SDLC : Agile
Source Control Tool: TFS
Project 1 : TOGS (Trimble oil and Gas)
Domain : Transportation.
TOGS is a leading provider of advanced location-based solutions for fleets across all of the U.S. and Canada. From the front of the cab to the middle of the fields to the back office – you, your drivers, and your entire fleet are in constant communication. It’s about safety. It’s about efficiency. And it’s about truly working as one.
Role: Software Developer
Technology:
Tools : Visual Studio 2017
Operating System : Windows 8.1
Base Language : C#
Application Platform: Asp.net, MVC, Web Api, .net core, Sql.
SDLC : Agile
Source Control Tool: Git Hub
Continuous Integration Tool: Team-city, Octopus.
Project 2: ELD
Domain: Transportation.
Eld is the transportation regulation followed in US and Canada transport system. Migrating all the older version of Tablets attached within truck will be modernized and replaced with new transportation rules where driver can avoid Paper logs for their reports and they can get it in their tablets and printable format.
Role: Software Developer
Technology:
Tools : Visual Studio 2019
Operating System : Windows 8.1
Base Language : C#
Application Platform: Asp.net, Web Api, Sql.
SDLC : Agile
Source Control Tool: Git Lab
Continuous Integration Tool: Jenkins
Server side Programming:
C#, Asp.net Web Api, Mvc, web forms
Client side programming:
Html, Vue-js, Jquery,Javascript, Css
Relational DB : SQL
Cloud: Azure Sql, Kusto DB
1.Bringing all assets at one point and perform analytics: Data group, set(vehicles, assets, drivers), Analyze, Visualize, Prediction, Deploy(Implementation and usage in real time).
2.Driver journey management(Home back concept): Driver can go home everyday, truck and driver exchange and goods exchange at terminals by using Block-chain.
A proposal for Improved ELD version with advanced features:
1.Generation of a unique QR code for each driver which eases the manual process of Inspector with a single scan. Scanning the QR code the Inspector can inspect the driver logs to e-verify whether the driver is compliant with regulations.
2.Driver Details Screen includes Driver Profile , HOS and Driver Availability time details. Driver Logs Screen includes the number of Violations, Events, Conflicts, Engine hours
A proposal for Driver sentiment analysis using azure machine language
To reinforce the use of machine learning in our ELD website to facilitate driver sentiment analysis.
Generated a machine learning model in azure ML portal and trained the model with historic data and predict the future sentiment using the score.
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