Allahabad Engineer

SHIVAM KUMAR SINGH

Email- admd1g@r.postjobfree.com

GitHub- https://github.com/SHIVAMtheGABBAR

LinkedIn- www.linkedin.com/in/shivam-kumar-singh-08038a191 Phone : 914-***-**** Bangalore, India

TECHNICAL SKILLS

Languages – C++, Java

Cache - Redis

Database – Mysql, MongoDB

Operating Systems – Linux, Windows

Concepts – Data Structure,Algorithms OOPs, DBMS, Linux Operating system

Others– Springboot, Postman, GitHub, Intellij IDE

EDUCATIONAL QUALIFICATIONS

MASTER OF COMPUTER APPLICATION

CGPA - 7.99 Passout - 2020

National Institute Of Technology, Karnataka, Surathkal BACHELOR OF SCIENCE (Mathematics)

Percentage - 65.83 Passout - 2017

Phoolchandra Singh Tulshi Devi Mahavidhyalaya, Allahabad, Uttar Pradesh

INTERMEDIATE (12 th)

Percentage - 83.40 Passout - 2014

S. S. Convent Intermediate College, Allahabad, Uttar Pradesh MATRICULATION (10th)

Percentage - 82.16 Passout - 2012

S. S. Convent Intermediate College, Allahabad, Uttar Pradesh ACHIEVEMENTS

1. Secured AIR-66 IN NIMCET -2017

2. Secured AIR-49 IN KIIT Entrance Exam

3. Secured AIR-34 IN PUNE University Exam

4. Got 2nd place in coding event organized

in Engineer’18 by Informatica.

EXTRA CURRICULAR ACTIVITIES

1. Group leader of Scout and Guide team in school . 2. Worked as member of technical team in Ignite’17 and Ignite’18.

3. Member of Mind Fuel Club (A Technical club).

CODING PROFILES

1. https://www.hackerearth.com/@shivam897

2. https://www.hackerrank.com/Shivamarima57201

3. https://auth.geeksforgeeks.org/user/shivamkumarsingh786 EXPERIENCE

ARVIND INTERNET – BANGALORE, INDIA

Intern - Jan-2020 to Sep-2020

Software Development Engineer - Oct-2020 to Present

- Recommendation of Apparels and Footwear using springboot and postman.

- Made sure software projects were done correctly and worked as they should have debugging and correcting any problems that were discovered.

PROJECTS

1. RECOMMENDATION OF APPARELS AND FOOTWEAR

- Recommending Apparels and Footwear to the users based on their given brands or sizes in different scenarios.

- Implementing backend for Recommendation using springboot and postman.

2. NETFLIX MOVIE RECOMMENDATION SYSTEM

- Recommending movies to the netflix users based on the rating given by them.

- Used the surpise library and applied different algorithms in it and improved the accuracy by ensembling models.

3. BLOOD BANK MANAGEMENT SYSTEM

- An efficient blood donor and blood searching system based on registered users information and location.

- This platform also gives the precise health report to the user based on the donated blood.

HOBBIES

1. Table Tennis

2. PC Gaming

3. Cricket

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