Tejas Pinto
*** ****, ****** *******, **** Cross Road, Borivali West, Mumbai – 400103
+91-993*******; ***********@*****.*** *****.*****@*******.***
Date of Birth: 28th March 1991
Academic Qualifications
Qualification Name of the Institution Year Percentage
Post Graduate Programme in Indo-German Training Centre,Mumbai 2013 - 2015 70.00%
Business Administration
B.E. (Electronics and St. John College of Engineering and Technology 2013 61.00%
Telecommunication)
Diploma (Electronics and St Xavier’s Technical Institute, Mumbai 2010 75.57%
Telecommunication)
S.S.C. (10th std.) St Francis D’Assisi High School, Mumbai 2007 78.00%
Practical Training as a part of the IGTC Dual Programme
Bajaj Allianz General Insurance Company Ltd.
Department: Technical (Underwriting & Risk Engineering) June 2014 - July 2014
PROJECT 1
Project Objective: Process reengineering for the Health Insurance Department
Project Detail:
Observed and analyzed the process flow for issuance of the various health insurance policies
Created a process map of the above using Microsoft Visio
Identified the bottleneck in the process
Suggested modifications which was used for the reengineering process
Department: Technical (Underwriting & Risk Engineering) Jan 2014 - Feb 2014
PROJECT 1
Project Objective: Development of key insurance underwriting worksheets for a major business conglomerate
Project Details:
Grasped the basics of general insurance industry and its functionality as well as processes.
Worked through the rigour of insurance underwriting basics, commercial tariffs and applicable rating
practices and existing market practices
Accompanied a risk engineer for a Risk Inspection to a Chemical Plant and got a hand-on experience in
detecting the various fire hazards as well as other risks the plant faces.
Prepared skeleton quote worksheets of Fire Policies for the factories and offices as well as for stocks.
Attempted to make quotes for Contractor Plant and Machinery
PROJECT 2
Project Objective: Evaluation of Marine Losses of a client
Project Detail:
Scrutinized the marine losses reported by Siemens Ltd for the Past 3 years
Standardized the data from which data mining could be done to get the required analysis
Analyzed the data to infer the highest losses as well as the highest frequency of claims on the basis of three
criteria
o Transporters
o Routes
o International or Domestic
Additional Qualifications
Level A1 Deutschkurs from Max Muller Bhavan, Mumbai
P Academic Projects at IGTC
Marketing Plan for the launch of a new fast food chain (Pan-India)
Supply Chain Management project- A Business Plan for a Plastic Bottling Plant
Service Marketing Project- A Business Plan for a Women’s Self-Defense Institute
Academic Projects Prior to IGTC
Line Following Robot using Microcontroller and IR Sensors – Diploma Final Year
Automatic Attendance System with Power Conservation using Microprocessor & IR Sensors – Engineering
Final Year
Co-curricular Activities
Participated in sports in school and colleges as well as external tournaments
Participated in debate at college level
Interest
Playing sports like soccer and basketball
Studying and investing in the stock market