Disha An

Disha An has a diverse range of work experience in various industries. Disha began their career as a Trader Intern at Hong Kong Jinbao Group, where they conducted market research and analyzed market trends. Disha then worked as a Sales Intern at Citi, assisting customers with their financial needs and introducing financial products.

Disha also gained experience as a Financial Business Analyst Intern at China Merchants Bank, where they provided analysis and support in financial services. Disha continued to develop their skills as an Asset-Backed Securities Analyst/Data Analyst Intern at R&R Consulting / Creditspectrum, conducting risk analysis and developing evaluation templates.

In 2017, Disha interned as a Fixed Income Analyst at Jefferies, where they performed valuation and risk analysis on bonds and created reports for senior management. Disha also served as a Graduate Assistant at Stevens Institute of Technology, providing English language support to international and lab students.

Disha's experience as a Data Scientist at both Shell and Salesloft showcases their skills in machine learning, data manipulation, and forecasting. At Shell, they built machine learning algorithms to forecast energy prices and collaborated with data engineering teams. At Salesloft, Disha utilized their data science expertise to help revenue teams close more deals.

In addition to their professional experience, Disha also volunteered at Grace Masters - Toastmasters, where they contributed to the club's activities and communication initiatives.

Overall, Disha An has a strong background in data science, financial analysis, and sales, with a proven ability to apply their skills across different industries.

Disha An completed their Bachelor of Economics degree in Finance at Liaoning University from 2011 to 2015. Following that, they pursued a Master of Science - MS degree in Financial Engineering at Stevens Institute of Technology from 2016 to 2017. Additionally, they obtained various certifications from different institutions, including Coursera and LinkedIn, which cover a wide range of topics such as regular expressions, natural language processing, SQL optimization, sales, machine learning, statistics, data analysis, and programming. The obtained certifications span from 2017 to 2021.