WEST LAFAYETTE, Ind. — Purdue University is offering a new series of Data Science in Finance courses focusing on applications of data science and machine learning to solve modern financial problems ...

Long before data science came into use, data was still a mainstay in finance. However, data collection and processing in the traditional setting involved complex, lengthy, and inaccurate processes ...

From crowdfunding to cryptocurrencies, and from automated trading to Alipay, recent innovations in financial technologies have revolutionised the way we spend, save, borrow, and invest. Companies in ...

Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Finance is an evergreen field with an abundance of data. There ...

Ashmin Kaul's inspiring career reflects a deep commitment to innovation, drive, and strategic vision. His path- from ...

Money managers are addicted to data. Driven by a need to increase efficiency and effectiveness in their ability to make predictions, money managers have talked about, considered and held data science ...

“Success is no accident,” said Pelé, legendary Brazilian footballer. “It is hard work, perseverance, learning, studying, sacrifice, and most of all, love of what you are doing.” These words resonate ...

The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations increasingly rely on data-driven decision-making, the demand ...

Deena Narayanaswamy has nearly two decades of experience in credit risk management and data science, having held senior roles at top fintech and financial services companies. Most recently, he served ...

Elizabeth Onasanya has become a well-known name in the data science community, recognized for her significant contributions and leadership in the field. Her most notable achievement is the creation of ...

Data science is an essential field within computer science and machine learning that uses statistics, algorithms, and technology to make meaningful analysis and predictions from large amounts of data.