resume_puneet

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PUNEET GOYAL D.O.B – JANUARY 13,1992 || E-Mail – [email protected] || Ph. 09953082109 Address: I-316, Naraina Vihar, New Delhi-110028 CAREER PROFILE A skilled and talented professional seeking an opportunity to apply analytical skills, statistical techniques and mathematical methods to achieve self and organizational goals. I am proactive and highly focused with strong investigative skills, an analytical and logical approach to problem solving and am adept at handling and interpreting data. A graduate in Computer Science from Delhi University simultaneously pursuing actuarial studies from Institute of Actuaries of India and Institute & Faculty of Actuaries, London, UK. For past 2.5 year, working with Mercer India Private limited, rendering actuarial service toward pension funding valuation for US and doing Accounting Valuation work for Japan and US under USGAAP rules. EDUCATIONAL QUALIFICATIONS Degree/ Course Description Institution/University Year Performance Bachelor of Science(H) Computer Science Sri Guru Gobind Singh College of Commerce (University of Delhi) 2010-2013 58.7% Actuarial Science Institute of Actuaries of India & Institute & Faculty of Actuaries, London, UK 2010- Present NA High School Gyan Mandir Public School, Delhi(CBSE) 2010 83.4% Secondary School Gyan Mandir Public School, School, Delhi(CBSE) 2008 79.6% ACTUARIAL ACCOMPLISHMENTS Year- Actuarial Science Exams Cleared 2011- CT-1(FINANCIAL MATHEMATICS) 2012- CT -5(CONTINGENCIES) 2013- CT-7(BUSINESS ECONOMICS) CT-8(FINANCIAL ECONOMICS) 2014- CT-3(PROBABILITY AND MATHEMATICAL STATISTICS) CT-2(FINANCE AND FINANCIAL REPORTING)

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Page 1: Resume_Puneet

PUNEET GOYAL D.O.B – JANUARY 13,1992 || E-Mail – [email protected] || Ph. 09953082109

Address: I-316, Naraina Vihar, New Delhi-110028

CAREER PROFILE

A skilled and talented professional seeking an opportunity to apply analytical skills, statistical techniques and mathematical methods to achieve self and organizational goals. I am proactive and highly focused with strong investigative skills, an analytical and logical approach to problem solving and am adept at handling and interpreting data.

A graduate in Computer Science from Delhi University simultaneously pursuing actuarial studies from Institute of Actuaries of India and Institute & Faculty of Actuaries, London, UK. For past 2.5 year, working with Mercer India Private limited, rendering actuarial service toward pension funding valuation for US and doing Accounting Valuation work for Japan and US under USGAAP rules.

EDUCATIONAL QUALIFICATIONS

Degree/ Course Description

Institution/University Year

Performance Bachelor of Science(H)

Computer ScienceSri Guru Gobind Singh College of Commerce (University of Delhi)

2010-2013 58.7%

Actuarial ScienceInstitute of Actuaries of India & Institute & Faculty of Actuaries,

London, UK

2010-Present NA

High School Gyan Mandir Public School, Delhi(CBSE)

2010 83.4%

Secondary School Gyan Mandir Public School, School, Delhi(CBSE)

2008 79.6%

ACTUARIAL ACCOMPLISHMENTS

Year- Actuarial Science Exams Cleared2011- CT-1(FINANCIAL MATHEMATICS)2012- CT -5(CONTINGENCIES)2013- CT-7(BUSINESS ECONOMICS) CT-8(FINANCIAL ECONOMICS)2014- CT-3(PROBABILITY AND MATHEMATICAL STATISTICS) CT-2(FINANCE AND FINANCIAL REPORTING) CT-9(BUSINESS AWARENESS)2015- CT-6(STATISTICAL METHODS) CT-4(MODELS) 2016- CA1(ACTUARIAL RISK MANAGEMENT) Result Awaiting

Page 2: Resume_Puneet

EMPLOYMENT:

Process Developer, Mercer India Private limited 26 t h Dec, 2013 to Present

Roles and Responsibilities

PENSION VALUATIONS/RETIREMENT SERVICES-US

Understanding the raw data provided and rectifying the same to make it useful for ValuationComparing the vectors provided in the data to identify consistency in the data using vlookup, hlookup, find, replace and other tools for data cleaning

Generating queries to the client and confirming for undesirable changes in the data using various functions in Excel

Running Actuarial Valuation on manipulated data. Gain\Loss analysis by source on pension valuation liability results and explaining the model fit Producing actuarial valuation results and validating the same for funding and accounting purpose using

excel and business specific softwares Generating basic Statistics based on Pay, Monthly Pension, Age, Cash Balance, Service, duration etc to

be used for year end Valuation/Disclosure report Doing reconciliation of assets and liabilities and providing the current year status of the pension plan of

being at risk Provide effective measures to avoid risk and programming of additional assumptions to avoid risk of plan

being freeze.

SKILLS

Effectively working in a team-based culture Commitment towards excellence Willingness to Learn Quality work delivered within due timelines Ability to work in stressful situations

COMPUTER PROFICIENCY

Good knowledge of MS office. OS familiarity: Windows , Linux. Computer Language Knowledge: C , C++, Java. STATISTICAL ANALYSIS SYSTEM (S.A.S)

(Certification from WEBCOM TECHNOLOGIES)

STRENGTHS

Hardworking Analytical ability

Logical thinking

Accepting responsibilities

Interactive

Page 3: Resume_Puneet

Determined & Disciplined

Well organized and Coordinated

Good Communication Skills

ACHIEVEMENTS AND OTHER INTEREST

Awarded ‘Star of the Month’ for March, 2016 at Mercer India Pvt. Ltd. for working on one of the most complex Pension Plan under tight timelines.

Awarded ‘Star of the Month’ for June, 2015 at Mercer India Pvt. Ltd. for delivering exceptional good quality work.

Passed CT-1, CT-5, CT-7, CT-8 & CT-2 Actuarial science exams in first attempt. A New Round Robin Based Scheduling Algorithm for Operating Systems: Dynamic Quantam Using the

Mean Average. A lot of interest in mathematics & won mathematics Olympiad in year 2007 & scored 99 in maths in class

10th. I like Traveling, Playing & watching cricket, gymming and Listening Music.

DECLARATION:I hereby declare that the details provided by me in this resume are correct and I have knowingly not omitted/ misrepresented any information. I am aware that the company can use this data for verification purposes and any material inconsistency identified between the details shared above versus actual information would have a bearing on my employment, based upon company policies.