Sr. Manager
Infosys Technologies Ltd
مجموع سنوات الخبرة :27 years, 5 أشهر
Achievements and Certifications
• Certification in “ITIL (Foundational)” from EXIN Asia.
• PMP and Agile on Scrum trained.
• JDA Certification in Space & Floor Planning from JDA.
• Recognized with “Project Excellence” in Syntel - AIG project.
• Received “Project Star” award in Capgemini - Visteon project.
• Received “Insta” Award for effectively handing client visit.
• Received “Insta” Award for effective support handling.
• Learnt Artificial Intelligence and Machine Learning for classical models.
• Learning “Deep Learning” in AI.
Artificial Intelligence and Machine Learning: Highlights:
➢ Fundamentals of Python Programming
➢ Data Science: Exploratory Data Analysis and Data Visualization
➢ Foundations of Natural Language Processing and Machine Learning
➢ Classical ML Models - K-NN, Naïve Bayes, Logistic / Linear Regression, SVM, DT, Random Forest
➢ Feature Engineering, Productionization and deployment of ML Models
Contribution:
As a
Contribution:
Joined in FSI unit as a
Team Size: 35
Goodyear is one of the world's largest tire companies, with operations in most regions of the world. Together with its subsidiaries and joint
ventures, Goodyear develops markets and sells tires for most applications. Goodyear operates more than 60 plants in 26 countries.
4
Contribution:
As a
Team Size: 25
CapGemini planned to develop a global transition tracking tool. This tool will assist in implementing the Transition Methodology across the
group and will provide the following functionality.
➢ Central Repository
➢ Transition Tracking and Monitoring
➢ Highlighting Risks/Issues
➢ Project Configuration
➢ Resource Mapping
➢ KT Progress
➢ Dash Board/WSR weekly Reporting
➢ Global KPI Reporting
My responsibilities include
➢ Function as a liaison with the Capgemini Transition community worldwide to agree the requirements
➢ Planning for the schedule for the development and release of the tool
➢ Managing the development team to get the best from them
➢ Reporting and Progress updates to the Capgemini transition leadership.
Technologies involved: .Net, ASP.net, SQL Server 2005
General Motors Corporation, also known as
First Health is a unique national managed care company serving the group health, workers' compensation and state public program markets.
The First Health® Network is the nation's largest directly contracted national network.
Contribution:
As a
DaimlerChrysler Corporation (DCX) is located at Detroit, USA and is the 3rd largest car manufacturer in United States. DaimlerChrysler is
a leading automotive, transportation and services company with a rich history spanning more than 200 years.
Contribution:
As a
Contribution:
As a
Kemper Insurance Companies is one of the largest insurance carriers for personal and commercial lines of insurance in US. This project
involves Business Enhancement of their Personal Lines Information System (PLIS) module. Kemper is a group of 4 companies LMC,
AMICO, AMPICO and AMM. Kemper deals with Auto, Home as well as Package policies.
Contribution:
Branch code conversion project (BCC) had 1990 COBOL / IMS Programs. The conversion project was a part of Business Enhancement to
the system in which the numeric Branch-code field was being converted to alphanumeric to accommodate larger number of branches.
The project (PLIS) was involved study of the current system and implementing new business requirements. The work involved modification
as well as new coding. The IMS-DB/DC, DB2 programs modified using Change Data Set (CDS) facility and tested in the simulated IMS-DC
region BTS.
Right Price included Screen Scrapping work by analyzing the IMS-DC Cobol programs and designing the use cases for web enabling at
client site.
Software: Dos, Windows-95, JDK1.1.6, Servlet, html4.0, JSP, VA-java 3.0, IBM WAS, Dream-Weaver
Tools/Utilities: MF-Revolve, REXX and REQL
for primary responsibility was the PPT, MPT & MYT run in system testing of the modified programs,
and quality assurance of the programs as well as Data Aging.
Software: VS-COBOL II, VSAM, JCL, IMS, FOCUS and SAS
Fundamentals of Python Programming Foundations of Natural Language Processing and Machine Learning Classical ML Models – K-NN, Naïve Bayes, Logistic / Linear Regression, SVM, DT, Random Forest Feature Engineering , Productionization and deployment of ML Models, ML – Real World Case Studies Data Science: Exploratory Data Analysis and Data Visualization Data Mining (Unsupervis ed Learning) and Recommender Systems Artificial Neural Networks (ANN), Convolutional Neural Networks CNN, Deep Learning Completed project on predicting the energy consumption of a building. The problem was to find; how much energy a building would have consumed without any retrofits. This problem was also a part of Kaggle challenge namely “ASHRAE - Great Energy Predictor III - How much energy will a building consume?”
(