Kunal Choudhary

📞+44 7774904392

Kunal is a recent MSc Computer Science (Artificial Intelligence) graduate from the University of Nottingham, with a strong foundation in Data Science & AI. He possesses robust analytical skills & extensive knowledge in Machine Learning & Statistical Modelling.

Education📖

MSc Computer Science (Artificial Intelligence)

University of Nottingham, UK (2023-24)

Designing Intelligent Agents
Machine Learning
Big Data & Technologies

Mixed Reality
Handling Uncertainty with Fuzzy Sets & Systems

Actuarial Science

Institute and Faculty of Actuaries (IFOA), UK (2020-Present)

Cleared 8 Actuarial Science Exams specializing in topics like Risk Management, Regression, Time Series, Portfolio and Asset Pricing, Stochastic Calculus, and Statistical Modelling in R, Business Economics and Finance, Financial Derivatives, Reserving, and Communications.

CS1 Actuarial Statistics
CM1 Actuarial Mathematics
CS2 Risk Modelling & Survival Analysis
CM2 Financial Engineering & Loss Reserving

CB1 Business Finance
CB2 Business Economics
CB3 Business Management
CP3 Communications Practice
CP2 Modelling Practice

8 Actuarial Papers (Exempt), Society of Actuaries (SOA), USA.
6 Actuarial Papers (Exempt), Casualty Actuarial Society (CAS), USA.

Bachelor of Commerce

St. Xavier’s College, Kolkata, India (2019-22)

Graduated with a CGPA of 7.29 specializing in Finance and Accounting.

Delhi Public School, Ruby Park,

Kolkata, India (2004-19)

Passed Class XII CBSE Board Exam with a score of 94% (equivalent to A Levels) specializing in Finance and Economics.
Passed Class X CBSE Board Exam with a CGPA of 9.6 (equivalent to GCSE).

Experience

Senior Actuarial Analyst

Ernst & Young, India (Aug 2022 - Aug 2023)

Worked for a leading US-based client to revise premium rates for different insurance products driving more than $1 billion of revenue over the year 2022-23.
Designed and implemented an R-Shiny Dashboard automating the filing process for the client, significantly reducing errors and saving time and costs.
Enhanced communication skills through client interactions aimed at understanding business needs and explaining technical Actuarial findings.
Managed the team in the absence of the manager, ensuring smooth project continuation and coordination.
Conducted in-house training sessions on technical topics like GLM Modelling, R and R shiny programming, and Fundamentals of Deep Learning.

Actuarial Science Tutor

S Cube Tutorials, India (Sept 2020 – Present)

Mentored over 300+ students for Actuarial Exams, solving doubts and guiding them through these exams.
Recorded lectures teaching R programming and Statistics for Actuarial Science.
Designed an ‘R to Python’ course teaching Python programming to students well-versed in R.

Skills & Certifications

R & R Shiny Programming, Python, Unity Game Engine, Alteryx, Tableau, Power BI, Advanced Excel & MS Suite, Deep & Machine Learning, Data Science

EY Badges

Data Science & Data Visualization (2022)

Coursera

Deep Learning Specialization by Stanford University
Machine Learning Specialization by Stanford University
Econometrics by HSE University
Summary Statistics in Public Health by John Hopkins University

demy

LinkedIn Learning

Tableau and R for Analytics Projects

Great Learning

Time Series Analysis in R

Achievements

Sports: Rowing🚣‍♂️

Participated in West Bengal State Championship (2018); Captain of School Rowing Team (2018-20); Coach of School’s first female rowing team (2019). Rowing played a crucial role in shaping my discipline, perseverance, and leadership skills.

Volunteering: Member of Economics MIG and General Insurance Machine Learning Group (IFOA)

Responsible for raising awareness and understanding within the profession about an actuary’s use of economics and advancements using data science.

References

Available upon request.