Martin Kaminskyj, Cpa

Payments Manager / Sr Financial Analyst @ DealMaker

About Martin Kaminskyj, Cpa

Martin Kaminskyj is a Payments Manager and Senior Financial Analyst at DealMaker in Toronto, Ontario, with a strong background in data analytics and financial analysis. He holds multiple certifications in data analytics and finance, and has experience working with companies across various growth stages.

Work at DealMaker

Martin Kaminskyj has been serving as Payments Manager and Senior Financial Analyst at DealMaker since 2021. In this role, he focuses on financial analysis and payment processes, contributing to the company's financial operations. His expertise in data analytics supports the development of effective financial strategies. He is based in Toronto, Ontario, Canada.

Education and Expertise

Martin Kaminskyj studied at the University of Toronto School of Continuing Studies, where he completed a Data Analytics Boot Camp Certificate in 2020. He also earned a Data Analytics certificate from BrainStation in the same year. Additionally, he is currently pursuing a Financial Modeling & Valuation Analyst certificate from the Corporate Finance Institute® since 2021. His academic background includes a Bachelor of Commerce degree with a major in Accounting and a minor in Marketing from Ryerson University, completed between 2011 and 2015.

Background in Financial Analysis

Martin has a diverse background in financial analysis, having worked at Curate Mobile Ltd. as a Financial Analyst from 2018 to 2020. He also gained experience at PwC Canada as an Audit Associate in Emerging Company Services from 2015 to 2017 and briefly in 2014. His work experience spans various stages of company growth, including pre-revenue startups and public companies with revenues up to $1.5 billion.

Technical Skills and Tools

Martin has developed strong technical skills in data analysis and database management. He is proficient in coding languages such as VBA, Python, HTML, and JavaScript. His database management skills include MySQL, PostgreSQL, and SQLite. He utilizes statistical analysis tools like Python's Numpy and R, along with data visualization tools such as Python's Matplotlib, Tableau, and JavaScript's Plotly.

Internal Control and KPI Monitoring

Martin has a strong background in internal control evaluation, providing recommendations to enhance financial processes. He is experienced in conducting variance analysis against benchmarks and monitoring key performance indicators (KPIs). His expertise in creating and evaluating both manual and automated financial and operational processes supports effective decision-making.

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