The number of individuals using flights has dramatically increased in recent years. Since prices fluctuate owing to several factors, it is challenging for airlines to maintain their prices.

Given the numerous circumstances present at that specific time, airline firms utilize complex algorithms to determine trip prices, by taking into consideration monetary, marketing, and numerous social elements.

Join us in an extensive masterclass with our expert, Olayinka Fadahunsi ( Head of Data Science and Engineering,  Equity Bank Limited) to learn how you can build a model that can predict flight fares accurately and understand the important factors that influence the prices.

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About Speakers

Olayinka Fadahunsi

Head of Data Science and Engineering, Equity Bank Limited

Yinka Fadahunsi, currently working as Head of Data Science and Data Engineering at Equity Bank Limited, is a data professional with over 8 years of experience in finance technology. Over his career, Yinka has contributed to creating and executing data strategies at various levels. He actively participates in data science competitions to solve real-world problems and expand his skillset.
 

Post-Graduate Program in Data Science & Business Analytics

Data science and business analytics are among the most popular emerging domains and sought-after career options. According to a report by LinkedIn, Data Science dominates its emerging job ranking with a whopping 37% hiring growth over the past three years.
Worldwide, industries are adapting to data science at an unprecedented rate, with 56% of business leaders using data science in some capacity in 2022. (Statista.com)

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