Kashif Sheikh, a Manager at StoneTurn, is a full stack data scientist and artificial intelligence (AI) engineer with over 15 years of experience assisting clients in the financial, technology, government, and legal sectors on data-oriented solutions impacting e-discovery, compliance, and regulatory issues.

Kashif specializes in data architecture and engineering, automation, forensics, analytics, business intelligence, visualizations and storytelling. Leveraging the latest advancements in AI and machine learning, he builds software solution to help empower clients efficiently process vast amounts of data, streamline complex tasks, and achieve more accurate, actionable insights. Kashif operates across a wide spectrum of use cases to enable clients to make better data-driven decisions, including investment research, accounting and finance, sales and marketing, public opinion surveys and analysis, and product development.

Prior to joining StoneTurn, Kashif led operational data analytics at Remesh, an AI software company, and consulted independently as a full stack data scientist.

He has previously held roles as a sell side investment analyst on top ranking equity research teams including ISI Evercore, where he specialized in the financial services sector, and Nomura Securities, where he covered the technology sector. Additionally, he was a buy side investment analyst at Techstars where he sourced fintech companies across blockchain and cryptocurrencies, AI, security, and payments. He also helped develop high frequency trading systems at Merrill Lynch, one of the largest early market participants in the space.

Kashif has previously practiced as an attorney at Thacher Proffitt & Wood and Quinn Emanuel in banking and securities-related regulatory and litigation matters. Prior to his work as an attorney, he held federal government roles at the Patent & Trademark Office (USPTO) as a Patent Examiner and the Securities & Exchange Commission (SEC) in the Division of Enforcement, gaining invaluable experience with the administrative procedures behind intellectual property and securities regulation.