Mahek Parekh
About Mahek Parekh
Mahek Parekh is a Research Analyst at Accrete, where she has worked since 2019. She holds a B.Com in Financial Markets and a CFA, and has contributed to various projects focused on investment analysis and sentiment scoring.
Work at Accrete AI
Mahek Parekh has been employed at Accrete AI as a Research Analyst since 2019. In this role, she collaborates with domain experts to enhance user interfaces and identify bugs in the Natural Language Processing machine learning model. She contributed to the development of Rumour Hound, a platform that provides sentiment scores for S&P 500 companies based on ESG practices and industry rumors. Additionally, she worked on Money Flow, a product designed to analyze changes in capital flow themes, assisting investment professionals in identifying investment opportunities. Her work involves utilizing narrative trends and source accuracy to predict shifts in global asset sentiment.
Education and Expertise
Mahek Parekh holds a Bachelor of Commerce in Financial Markets from S K Somaiya College of Arts Science & Commerce, where she studied from 2015 to 2018. She also achieved the Chartered Financial Analyst (CFA) designation through the CFA Institute. Additionally, she completed a Certified Financial Planner program at the Financial Planning Standards Board (India) from 2015 to 2017. Her foundational education includes a Junior College degree from K J Somaiya College of Arts & Commerce, where she studied from 2013 to 2015. She completed her schooling at Hiranandani Foundation School, achieving an 81.5% score.
Background
Before joining Accrete AI, Mahek Parekh briefly worked at Special Situation Advisors (India) Pvt. Ltd. in 2018 as an Investment Banking Operations professional. This role lasted for one month and took place in Vashi. Following this, she worked at Accrete in a Research & Intelligence capacity for two months in 2019 before transitioning to her current position as a Research Analyst.
Achievements
During her tenure at Accrete AI, Mahek Parekh has played a significant role in enhancing the accuracy of buy/sell calls derived from quarterly earnings calls through advanced sentiment analysis techniques. Her contributions to the development of platforms like Rumour Hound and Money Flow demonstrate her ability to leverage data analytics for investment strategies. She has utilized narrative trends and source accuracy to provide insights into global asset sentiment, thereby offering a competitive edge to investment professionals.