Summary
Overview
Work History
Education
Skills
Certification
Accomplishments
Machine learning projects
Timeline
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Chippy Ann Jerrin

Summary

Ambitious Full Stack Developer with 9.5 years of experience in developing and mentoring new developers. Proponent of human-centric management approach and owner of deep technological expertise. Adept at combining scientific tools and common sense to maintain uptimes and exceed service level agreements.

Overview

11
11
years of professional experience
1
1
Certification

Work History

Senior Tech Analyst

DBIZ Solutions
01.2023 - Current

Client : McMillan Shakespeare Limited

Type : Provided salary packaging and Novated leasing solutions

  • Was part of BAU team and Implemented new features and functionalities to meet changing business requirements on a project based on .Net application and Azure.
  • Utilized Azure DevOps board for Project management, collaborating with cross-functional teams to deliver project milestones.
  • Created an SSIS Package to communicate data from On-Premise server and Azure cloud SQL server ensuring seamless integration of data with both the systems.

Technology Lead

Infosys Ltd
06.2014 - 12.2022
  • Project 1 : Amanat
  • Type: Managing the details about Company assets across the Locations, The Project was a Legacy application and was implemented on VB.Net
  • The Application was built for managing both software and Hardware assets in Infosys
  • Provided full lifecycle support to clients from initial client interaction and requirements analysis through design, coding, testing, debugging, implementation and integration
  • Provide ongoing application support and troubleshooting
  • Implemented SSIS packages for inter application data communication
  • Got Opportunities in Designing Database for most of the New Requirements
  • Involved in Releases and auditing of the application
  • Project 2: Asset Management system (AMS)
  • Type: Reengineering of Asset Management system, Project Implemented on MVC Framework
  • Reengineering of Asset management with new DB Structure, UI and all functionalities
  • Handled one full module, lifecycle support to clients and requirements analysis through design, coding, testing, debugging, implementation and integration
  • Implemented SSIS packages Related to the module
  • Implemented Power BI and SAP BO Reports for the application
  • Project 3: EXIM
  • Project Implemented on asp.net framework 4
  • Project handled Registering the details regarding importing and exporting of various assets
  • Handled new enhancement and project support for customers

Education

B-TECH - Electronics and Communication Engineering

VJCET
01.2014

Skills

  • C#
  • ASPNet
  • ADOnet
  • MVC
  • HTML
  • JQuery
  • JavaScript
  • SQL SERVER 2012, 2016
  • SSIS Packages Development
  • SAP BO Report generations
  • Power BI
  • Microsoft Excel
  • Power Point
  • Word
  • Data science with Python
  • Machine Learning
  • Agile
  • Azure DevOps
  • Azure SQL
  • Microsoft Azure

Certification

  • Agile Project Management, Coursera
  • Data science with python, SimpliLearn
  • Machine Learning, SimpliLearn
  • Microsoft Azure Developer Associate (AZ-204) Cert Prep by Microsoft Press

Accomplishments

  • Received 'Fast Bloomer' award from CIO, 04/01/16
  • Received Outstanding Ratings for Performance Evaluation
  • Received insta award (Certificate of Appreciation) from Infosys

Machine learning projects

  • Income qualification, This project contained data set for Costa Rican household characteristics and the poverty level classified. On this data we had to see if there is any biases in the data and needed to cleanup the columns for null and non-integer values. Data set is then modelled using random forest classifier and again cross validated for accuracy.
  • Predicting Testing time for a Leading Car Manufacturing Company, This project contains dataset of features shared by a leading car manufacturing company to predict the time taken by the car to pass testing. Since there are more than 300 columns, we had to do a dimensionality reduction using PCA. Before that we encoded all object type columns using Label Encoder. To get the best performance we used XGBoost algorithms and iterated through different parameters to get the optimal result.

Timeline

Senior Tech Analyst

DBIZ Solutions
01.2023 - Current

Technology Lead

Infosys Ltd
06.2014 - 12.2022

B-TECH - Electronics and Communication Engineering

VJCET
Chippy Ann Jerrin