I am experienced in extracting valuable insights through data analysis. I showcase a successful track record of analyzing complex datasets and identifying patterns. I have played a pivotal role in supporting applications for upgrades and swiftly resolving issues for smooth operations.
Overview
25
25
years of professional experience
Work History
Customer Service Representative
MCI
11.2023 - 07.2024
Represented top global brands, providing customer support for website inquiries at https://experianidworks.com/pluscreditlock and www.eddiebauer.com.
Senior Software Developer
Astadia
08.2018 - 05.2020
Support WEBMCS application for USAirforce client.
Develop new functionality for upgrade of Net MVC 4.0 application in .NET 4.5 Framework library for WEB MCS US Air Force
Develop new layouts for Terminals, Users, Transcode screens
Configuring and building MVC Web application WEB MCS for new client Requirements.
Design and develop model, view, and controller actions for WEB MCS
Applied Model-View controller design pattern to create strongly typed Views and HTML manipulation and event handling using jQuery javascript library .
Senior Software Developer
Robert Half Technology/ERC/Debt Management
04.2015 - 06.2015
Worked on investigating or analyzing production issues, familiarizing clients (Chase credit card) with their application/database testing environment, writing SQL queries for testing, running SSIS jobs for testing, providing results for user acceptance testing.
Application Support Developer
City of Jacksonville
07.2013 - 12.2014
Assisted City of Jacksonville customers in resolving many critical and ongoing issues
Supported and contributed to cost-saving efforts for multiple city departments, including JFRD, TAS, Employee Services, Concurrency Management, JaxParks, and JaxPension. This was achieved by enhancing .Net applications on Jacksonville.gov websites.
Utilized SQL server 2012 Data integration management tools to enhance FAMIS system by upgrading SSIS packages.
Streamlined Parks and Permits department processes by implementing a feature that allows customers to bypass the 15-day block on Special Use Permit applications, saving approximately 45 minutes per transaction.
Senior Application Developer
Citi Street /Altegra Systems-Jacksonville, FL
02.1999 - 01.2008
Supported applications for health enrollment and managing pension systems for employees of QWEST, Time Warner,General Dynamics, Saint Gobain, American Red Cross, State Street.
Designed and implemented SQL scripts for ongoing data feeds and database maintenance
Debugged and resolved technical issues with database applications
Proficiently analyzed business needs and devised effective technical solutions.
Developed SQL scripts and performed web development using ASP .Net C# for retirement planning and health and Welfare solutions on various domains.
Migrated databases and code from MS-Access/VB to the upgraded SQL Server 2005/.NET 2.0 environment
Migrated and oversaw the SQL Server applications transition for State Street such as check replacement and involved in testing ,reviewing Tax Refund systems. voyaretirementplans.com
Education
Data Science Graduate Program -
Tech IS(State of Ohio)
01.2023
Bachelor's degree - Computer Science and Engineering
University of Madras
01.1990
Skills
Expertise in developing databases and Web Applications on various architectural design patterns including MVC 30/40, in Net Framework 45
Proficient in developing systems built on SQL Server 2012 using Tables, Triggers, Views, and Stored Procedures in SQL and maintaining the database, including requirement analysis, design, data conversion, loading, and implementation
Exploratory data analysis and Visualization (Matplotlib and Seaborn libraries) with Python, NumPy, Pandas, MySQL, and Sk-learn libraries
Statistical Modelling, Predictive Modelling (Supervised & Unsupervised) algorithms and patterns
Tech IS, Predict the cost of medical insurance for an individual given their demographics., https://github.com/kigit2017/TensorFlow-Normalization/blob/main/insurance_regression_norm_NonNor m.ipynb, Jun 23, Dec 23
Amazon Food review, Score rating for determining the polarity or positive/negative comments., https://github.com/kigit2017/AmazonFooedReview, Jun 23, Dec 23
Kmeans clustering algorithm, Efficient clustering in large datasets (67K,SFO employees)., https://github.com/kigit2017/Clustering/blob/main/SFOEmployees_Kmeans.ipynb, Jun 23, Dec 23