Jayant Jain

Software Engineer

Bengaluru, Karnataka, India5 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Proficient in developing Restful APIs using Spring Framework.
  • Experienced in data analysis and machine learning applications.
  • Strong problem-solving skills with a focus on student performance improvement.
Stackforce AI infers this person is a Backend-focused developer with experience in Education technology and data analysis.

Contact

Skills

Core Skills

Spring FrameworkApplication DevelopmentData AnalysisMachine Learning

Other Skills

AlgorithmsBack-End Web DevelopmentCode ReviewCommunicationCore JavaData Mining AlgorithmData StructuresDesign PatternsHibernateJUnitJavaJava8JavaScriptManagementMicroservices

About

A young developer with the aim to build something useful, and learn new technologies.

Experience

Gojek

Software Engineer

Jun 2022Present · 3 yrs 9 mos

Rakuten india

2 roles

Associate Software Engineer

Sep 2020Sep 2022 · 2 yrs

Software Engineer Intern

Jan 2020Sep 2020 · 8 mos

  • Working with Rakuten Travel team, developing Restful APIs for the same using SpringBoot Framework.
SpringBootRestful APIsSpring FrameworkApplication Development

Scii

Data Analyst

Feb 2019Nov 2019 · 9 mos · Tumkur, Karnataka, India

  • Worked on a project(Team of 6 members) about descriptive analysis of student data to uncover patterns, relationships and correlations using Machine Learning algorithms.
  • The data is collected from different categories of students is used to analyse the academic/non-academic performance of students. The project intends to find peculiar patterns/behaviour that directly or indirectly affects the student's performance. The aim of the project is to increase the student's performance and to help the company create similar solutions for their clients. My Work is to create the appropriate survey by analysing the characteristics of the student, collect the relevant data from the students, filtering, generalisation and discretisation of data, removing ambiguity and inconsistency and using the K-means, agglomerative and spatial clustering algorithms by using Python's API sci-kit learn to generate the desired output.
  • Exposure: Data Mining Algorithm, Machine Learning, Python, Jupyter Notebook.
Machine LearningPythonData Mining AlgorithmData Analysis

Education

Cambridge Institute Of Technology

Bachelor of Engineering - BE — Computer Science

Jan 2016Jan 2020

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