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jaswanth kumar

iOS Developer and Aspiring Data Analyst
chennai, Tamil Nadu
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iamjaswanth@outlook.com
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9092256227
A highly adaptable and professional candidate. Communicates confidently and effectively at all levels. Passionate about work with a humble approach to strive for perfection. eager to maximise skills in a challenging environment and grow within a reputable organisation
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Work Experience

Doodleblue Innovations

iOS Developer
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Mar 2016 - Current
  • won 15K cash price in Hackathon which held by doodleblue
  • App Name:- iCanHelp
  • ICanHelp is a volunteering app for those who looking for Help . If volunteer Once accepted the Help request if he couldn't able to make it possible the app will detect 10$ from His Back Account . Done Using Stripe Kit Payment Gateway Developed in Swift
  • link for the App:https://itunes.apple.com/in/app/icanhelp-volunteering/id1099276760?mt=8
  • App Name:- Joyn
  • Get a small group together for dinner. Organize pick-up games. Plan a large gathering. All without the constant back-and-forth of emails, texts, calls and invites that takes too much time and makes scheduling with groups of friends painful.
  • JOYN allows organizers to send an invitation to their pre-populated friend groups and have them accept on a first-come, first Developed in Swift
  • Link for the app:https://itunes.apple.com/in/app/joyn./id1100897952?mt=8
  • Worked on ibeacons
  • LivelyHive
  • LIVELYHIVE is an education company. Our mission is to create unique educational content, delivered through interactive and engaging visuals. We aim to provide these experiences online and through apps. Our ultimate goal is to reach kids around the world who don’t have access to traditional enrichment programs in Language, Arts and Sciences at school or after school.
  • link for the App:https://itunes.apple.com/in/app/livelyhive/id1162691448?mt=8

FizzE-ventures

iOS Developer
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Nov 2015 - Mar 2016

FIZZ Cashier communicates with the FIZZ User App when an offer is availed and a payment is to be made. When a user requests a bill from the User App, FIZZ Cashier receives a notification. This will be listed on the ‘Pending Bills’ page until attended to. Once the cashier clicks on it, they will need to enter a few bill details such as bill amount, bill number and the amount saved.

The cashier then sends this bill to the User App. At this stage, the bill moves into another list called ‘Awaiting Payment’. Once the User App receives the bill, the user can use the 3rd party Payment Gateway to pay or handover cash. The cashier is also notified when the transaction becomes successful.

  • link for user APP https://itunes.apple.com/in/app/fizz-grab-offers.-get-rewarded./id1069850257?mt=8
  • link for cashier App https://itunes.apple.com/in/app/fizz-cashier/id1069883290?mt=8I
  • Involved in Design and Development
  • Implemented notifications with GCM (Cloud Messaging) and Parse notifications and mixpanel analytics
  • Published apps to App Store

Botcode

Data Analyst
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Mar 2014 - May 2015

Description: Abbott.com and Abbvie.com are Pharmaceutical companies which having medical Products. We have scrapped the data of medical products websites and pdf based upon the keywords. This process of scrapping we have done for different countries which we have submitted the data based on country list.

  • Analysis of the specifications provided by the clients.
  • Crawling the product websites based on the keywords of particular product.
  • MS SQL Server database administration, including configure Scheduled Tasks for regular Database Backup and Maintenance Activities, create and modify tables.
  • Perform regular reviews of the database to identify performance problems, inadequate.

Certifications

Learning R and Python

Learning R and Python for Data analysis

  • Importing & Cleaning Data with R
  • R Programming
  • Python Programming
  • LinkdIn profile URL https://www.linkedin.com/in/jaswanth-kothamasu-260776ab?trk=hp-identity-photo

Education

SRM University

B.Tech Electronics And Instrumentaion
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Jun 2009 - Aug 2013

Skills

  • Swift Programming
  • R Programming
  • Python Programming
  • Data Scrapping
  • Data Analysis