- Led and mentored a team in the development and deployment of predictive models, algorithms, and data integrity across all platforms (AWS, GCP, Azure)- Set up and maintained multi-cloud infrastructure for applied AI and machine learning applications- Developed and deployed a consumer insight application using generative AI, Python, and Streamlit- Led a team to build an AI-based translation app for academic, business, and literature use cases, utilizing advanced LLMs (GPT, Claude… Show more - Led and mentored a team in the development and deployment of predictive models, algorithms, and data integrity across all platforms (AWS, GCP, Azure)- Set up and maintained multi-cloud infrastructure for applied AI and machine learning applications- Developed and deployed a consumer insight application using generative AI, Python, and Streamlit- Led a team to build an AI-based translation app for academic, business, and literature use cases, utilizing advanced LLMs (GPT, Claude, LLaMA)- Led the development of personalized recommendation engine with state-of-the-art Graph Neural Network (GNN) framework- Were continuously integrating the latest advancements in data science and AI into organizational projects Show less

- Transformed forecasting framework with significantly enhanced accuracy in predictions of student enrollment, retention, graduation rates, and call volume- Implemented advanced machine learning techniques for effective business forecasting, marketing, and conversion. Drove major improvements in the organization's data-driven decision-making processes- Crucially enabled informed decision-making among stakeholders through comprehensive analysis of both structured and unstructured data… Show more - Transformed forecasting framework with significantly enhanced accuracy in predictions of student enrollment, retention, graduation rates, and call volume- Implemented advanced machine learning techniques for effective business forecasting, marketing, and conversion. Drove major improvements in the organization's data-driven decision-making processes- Crucially enabled informed decision-making among stakeholders through comprehensive analysis of both structured and unstructured data, enhancing interpretation of complex trends for tangible organizational benefits Show less

- Developed a comprehensive lifetime revenue estimation model utilizing individual-level data to drive financial forecasting and strategic planning- Designed and implemented a cohort-based tool for forecasting new student enrollments, enhancing enrollment planning and resource allocation- Created retention risk predictive models for various institutions, significantly contributing to improved student retention strategies- Provided robust support in regulatory reporting and analysis,… Show more - Developed a comprehensive lifetime revenue estimation model utilizing individual-level data to drive financial forecasting and strategic planning- Designed and implemented a cohort-based tool for forecasting new student enrollments, enhancing enrollment planning and resource allocation- Created retention risk predictive models for various institutions, significantly contributing to improved student retention strategies- Provided robust support in regulatory reporting and analysis, customer lifetime value analysis, revenue reporting, and campaign analysis, addressing diverse internal client needs- Created different data processing pipelines with stored procedures and task schedulers to automate various reports Show less

- Extracted, merged and cleaned up National Children’s Study research data with SAS- Analyzed and validated relationships across various data sets, found inconsistency and fixed issues with data - Assured data quality to produce final deliverable analysis data

- Modified and interpreted predictive pricing models critical to driving insurance performance with SAS- Performed cluster analysis to encompass demographic patterns in various states and imputed missing values utilizing multiple imputations by SAS- Created test batches and random samples for implementing model changes- Took directions from leadership and executed accordingly to deliver results associated with customer orientation, consistency, and cost structure- Extracted… Show more - Modified and interpreted predictive pricing models critical to driving insurance performance with SAS- Performed cluster analysis to encompass demographic patterns in various states and imputed missing values utilizing multiple imputations by SAS- Created test batches and random samples for implementing model changes- Took directions from leadership and executed accordingly to deliver results associated with customer orientation, consistency, and cost structure- Extracted, manipulated, interpreted, analyzed, and communicated data with SAS, Excel VBA, and T-SQL to support and assist business partners focused on both routine and special requests Show less

- Collected, processed, and analyzed student laboratory data to support advanced laboratory experiment design- Conducted structure design and ad hoc coding to streamline lab experiment deployment and management- Designed, established, and implemented online registration system using MySQL relational database server, PHP, and Access to collect and manage participant registration data- Provided technical support for systems of high complexity