LIVYA PALPATH VARGHESE

CAMBRIDGE,CANADA

Summary

Detail-oriented and driven financial analyst student with coursework in Financial Planning and Business Analytics. Skilled in data analysis, financial reporting, and customer service. Seeking to leverage strong analytical and technical skills in a Financial Analyst – Co-op role to contribute to Sun Life's Segregated Funds' Financial Management team.

Overview

years of professional experience

Work History

Customer Service Representative

PVR Group of Company

11.2021 - 07.2022

Managed inbound and outbound customer calls, addressing technical inquiries and providing solutions for various customer related issues
Demonstrated empathy and effective communication, ensuring high levels of customer satisfaction and retention
Utilized decision-support tools and resources to resolve complex and non-standard issues
Documented and updated customer interactions and technical resolutions accurately
Assisted in training new team members, contributing to improved team performance and cohesion.

Junior Accountant

Akshaya Sales And Marketing

12.2018 - 07.2019

Verified invoices and staff expenses reports
Reviewed employee time sheets to detect missed signatures and variance in calculated hours
Handled and reviewed accounting for cash, sales GST payables and receivables, prepared monthly bank and credit reconciliations and posted adjusting entries.

Education

Business Analytics -

Conestoga College

Ontario, Canada

04.2024

Financial Planning Services -

Conestoga college

Ontario, Canada

04.2023

Skills

Client relationship management
Financial reporting & analysis
Proficient in Microsoft Excel
Data visualization & statistical modeling

Strong communication and problem-solving skills
Knowledge of IFRS financial statements
Time management & attention to detail

Projects

1. Enhancing Healthcare Accessibility: A Geographic Analysis of Ministry of Health Services

Data Analytics
Date: Dec 2023

Conducted comprehensive data analysis to optimize healthcare service distribution for the Ontario Ministry of Health.
Analyzed service ratings, bed availability, population distribution, and geographic coverage using Python (Pandas, Seaborn, Matplotlib).
Performed Exploratory Data Analysis (EDA), data visualization, and linear regression to identify key operational challenges and insights.
Recommended solutions for improving service delivery, including real-time availability systems for doctors and beds, telehealth integration, and resource reallocation.

Tools: Python, Excel, Matplotlib, Seaborn, Linear Regression, Data Cleaning & Visualization
Key Skills: Data Analysis, Statistical Modeling, Geographic Analysis, Healthcare Service Optimization

2. Statistical Modelling of Fuel Price Prediction

Data Acquisition, Analysis & Visualization

Date: April 2024

Analyzed fuel price trends across Canadian cities (Toronto, Vancouver, Halifax) from 2018 to 2024.
Collected and examined data on Regular Unleaded, Premium Unleaded, and Diesel prices using Python (Pandas, Seaborn, Matplotlib).
Performed Exploratory Data Analysis (EDA), data visualization, and statistical modeling to identify price fluctuations and regional variations.
Developed linear regression and machine learning models to predict fuel prices and assess external market factors affecting volatility.
Provided insights on seasonal patterns and regional price stability to support decision-making in fuel pricing and distribution.

Tools: Python, Excel, Matplotlib, Seaborn, Linear Regression, Predictive Data Mining, Data Cleaning & Visualization.

Key Skills: Data Analysis, Statistical Modeling, Predictive Modeling, Market Trend Analysis, Fuel Price Forecasting.

Timeline