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Abhik Mahakul
Assistant Vice President at iCapital, Data & Analytics
Professional Background
Abhik Mahakul is an accomplished Data Analyst who has carved a niche in the field of data analytics with a wealth of experience and expertise across various organizations. With commendable proficiency in Business Intelligence (BI) tools like Looker and Tableau, Abhik has been able to leverage data to drive significant business strategies and transformation. He is adept in SQL and has honed his skills in data modeling using Snowflake—a critical foundation that empowers him to draw meaningful insights from large datasets.
At iCapital, where he served as the Assistant Vice President of Data & Analytics, Abhik played a pivotal role in enhancing data-driven decision-making processes. His significant contributions helped streamline organizational data utilization, thereby improving operational efficiency and strategic outcomes. Prior to this role, he showcased his analytical prowess at Navan as a Revenue Data Analyst, where he successfully utilized data insights to boost revenue generation and profitability.
Abhik's career journey also includes a robust tenure at Doma, known previously as States Title, where he functioned as a Customer Success Data Analyst. In this position, he was instrumental in developing data strategies aimed at optimizing customer experiences and fostering strong client relationships. His earlier experiences include positions as a Customer Success executive at AllyO, a Technical Support Specialist at Nevro, and a Senior Technical Support Agent at Medallia, showcasing his diverse skills ranging from analytics to customer service and technical support.
Overall, Abhik’s career illustrates a strong blend of analytical skills, technical knowledge, and a passion for transforming complex data into actionable strategies.
Education and Achievements
Abhik Mahakul possesses a robust educational foundation that supports his analytical acumen. He earned a Master’s Degree in Analytics from Villanova University, where he gained advanced knowledge and practical skills that underpin his current professional capabilities. This rigorous academic program equipped him with the tools necessary to analyze complex data sets and derive meaningful insights that drive business decisions.
Prior to his master's degree, Abhik completed his Bachelor’s Degree in Electrical Engineering at the University of Minnesota. His education in electrical engineering laid a strong technical groundwork, facilitating a seamless transition into the analytics field. Through his dedication to continuous learning and professional development, Abhik combines his engineering background with advanced skills in analytics, data modeling, and machine learning.
Achievements
Abhik Mahakul's career is highlighted by several notable achievements that underscore his expertise and influence in the data analytics domain. He continues to excel in utilizing programming languages such as R and Python to facilitate machine learning processes, enabling organizations to uncover valuable data insights that inform strategic initiatives. His commitment to harnessing the power of data not only enhances productivity but also leads to innovative solutions that benefit organizations and their stakeholders.
His ability to communicate complex findings effectively ensures that stakeholders understand data implications, fostering a culture of data-driven decision-making wherever he contributes. Abhik encourages collaboration across teams to explore opportunities that data presents, an approach that showcases his dedication to leveraging data analytics for successful business outcomes.
In addition to his professional roles, his earlier experience in various roles such as a swim instructor and lifeguard at the YMCA of Metropolitan Chicago exemplifies his diverse background and adaptability in different environments. This variety enriches his perspective, allowing him to approach data challenges with a holistic view and a commitment to impact.
Abhik Mahakul invites collaboration and discussion among peers and professionals interested in the transformative power of data, demonstrating an ongoing commitment to the analytics field and its vast possibilities.
