180+
years of combined experience in production-grade AI/ML modeling
300+
enterprise-level model deployments covering up to 250M service lines
Award-Winning
Modelers
and Data Scientists
At GlorifAI, we take immense pride in our elite squad of data scientists and modelers, whose collective mastery spans multiple industries and domains. This award-winning team is comprised of professionals with extensive experience in leveraging advanced analytics, machine learning, and AI to drive strategic business decisions and propel organizations toward unprecedented growth.
Ksenija Draskovic
Is the CEO and a leading practitioner at the forefront of Data Science operations. Her leadership and expertise have earned her the trust and respect of business leaders across industries. Ksenija and her team have played a pivotal role in helping Verizon achieve industry-leading results by maintaining the lowest customer churn rate from 2014-2019, a testament to her and her team's business and data-driven expertise.
With a Master's Degree in Computer Science and a Bachelor's in Electrical Engineering, her comprehensive knowledge, combined with her extensive industry experience, enables her to navigate the ever-evolving data science landscape with unparalleled results.
Embrace the power of data-driven decision-making and partner with us today to unleash the full potential of your data assets.
Filip Krunic
As the Chief Technology Officer of GlorifAI, Filip brings a wealth of experience and an unparalleled drive for innovation from the high-tech grounds of Silicon Valley. A self-taught programmer, he has worked at some of the most highly sought-after companies in the world like Google, Facebook, and Amazon. Filip's expertise in experiment design and building cutting-edge Data Science tools have helped large companies make better decisions about their data while streamlining complex and business-critical analytical processes.
With a Bachelor of Science degree in Mathematics from UC San Diego and a Master's degree in Information and Data Science from UC Berkeley, Filip's broad technical expertise allows him to rapidly problem-solve and test new technologies to help solve client challenges and deliver exceptional results.
Vadim Pliner
Is a Sr. Fellow Data Scientist with extensive experience applying advanced statistical and machine learning methods across various domains, including epidemiology, survey research, AI, and telecommunications. In the telecom space, Vadim has developed and implemented cutting-edge models to predict churn, evaluate customer CLV/LTV and influenceability, directly contributing to business growth.
His ability to innovate and translate data-driven insights into actionable strategies has established him as a leader in the field.
Vadim holds an MS degree in Mathematics and a PhD in Statistics, and his work has been widely recognized through 12 peer-reviewed publications with over 500 citations and two granted U.S. patents, with one additional pending.
Regina Beaupre
Is a seasoned Data Scientist with over 30 years of experience in the field, renowned for her expertise in statistical modeling and machine learning. She has made significant contributions to companies such as Acxiom, Verizon, and Afiniti, leveraging advanced ML and AI tools to drive impactful business outcomes.
Specializing in customer acquisition, retention, upsell, and churn analysis, Regina has a proven track record in optimizing operations and improving business results. Her ability to translate complex data into actionable insights has made her a valuable asset in every organization she has worked with.
Regina holds a Master’s degree in Statistics and a Bachelor’s degree in Mathematics from the University of Arkansas, underscoring her strong foundation in quantitative analysis.
Megan Chen
Is a skilled data scientist with deep expertise in predictive modeling, segmentation, and AI-driven insights. She has built and refined numerous models tailored to the telecommunications industry, driving significant business outcomes such as customer churn reduction, revenue growth, and customer lifetime value optimization. With a strong foundation in statistical modeling and machine learning, she is proficient in advanced algorithms like neural networks, text analytics, and survival analysis.
Megan has successfully led projects that leverage AI for predictive analytics, focusing on customer behavior and influenceability.
She holds a Ph.D. and Master's in Economics from the University of Miami and a Bachelor's Degree in Electrical Engineering from Tsinghua University, China.
Cheryl Warrick
Integrates advanced text analytics and segmentation systems to extract strategic insights from complex business problems. From pinpointing conversational intent and sentiment to evaluating influenceability, Cheryl enhances marketing efforts to be laser-focused and resonate with the right audiences at the right time.
With a strong foundation in predictive modeling for customer acquisition, revenue growth, service expansion, and surgical customer retention, she now leverages LLM outputs to enhance her analytical capabilities and drive smarter decision-making.
Cheryl received her BS in Statistics from Florida State University. Her enthusiasm for problem-solving unique client challenges drives her to deliver exceptional results.
Daniel Koch
Is a senior data science professional with over 10 years of experience in implementing predictive models that deliver actionable insights, improve business outcomes, and expand industry knowledge. Daniel's past projects have delivered over $1M in incremental monthly revenue for prior telecom clients.
Experienced in machine learning and data analytics, Daniel has excellent verbal, written and visual communication skills to effectively relay findings to business leaders and multidisciplinary stakeholders.
Daniel holds a Bachelor's Degree in Mathematics from Brandeis University.
Sasa Draskovic
Is an accomplished data professional with significant experience working across various financial institutions. With deep expertise in relational database design, ETL processes, and SQL performance optimization, Sasa excels at transforming data into actionable insights. He has a proven track record in leveraging Business Intelligence tools like Tableau to deliver impactful reports and dashboards that unlock the full value of data.
In addition to his technical skills, Sasa is a seasoned SQL trainer, having successfully certified thousands of students in both online and in-person formats.
Sasa holds a Master's Degree in Computer Science and a Bachelor's Degree in Electrical Engineering from the University of Belgrade, Serbia.
