Professional Experience

Senior Data Scientist at University of Pittsburgh- Center for Population Health Management

Full Time, July 2022 - Current

  • Extensive experience utilizing Electronic Health Records (EHR) for analysis, demonstrating a deep familiarity with preparing and leveraging EHR data for both statistical and predictive purposes
  • Utilized causal forest algorithms to evaluate heterogeneity in treatment effects, allowing for a nuanced understanding of how different patient subgroups respond to various interventions
  • Spearheaded the development of precise predictive models to identify patients susceptible to adverse events using sophisticated machine learning methodologies.
  • Tested the effectiveness of a multifaceted Electronic Health Records (EHR)-based Population Health Management (PHM) intervention to improve evidence-based Chronic Kidney Disease care in high-risk patients.
  • Utilized mixed-effect models to analyze the impact of various factors on pain, fatigue, and depression, providing valuable insights into effective intervention strategies.
  • Designed and implemented a Tkinter application in Python to map addresses into the Area Deprivation Index (ADI), facilitating targeted resource allocation for underserved communities.

Data Scientist at University of Pittsburgh-Office of the Provost

Full Time, October 2017 - June 2022

  • Utilized data analytics tools to automate the generation of yearly/ad-hoc insights in static and dynamic formats, integrating data from multiple resources.
  • Improved University of Pittsburgh’s US News Ranking by 4 steps (between 2020 and 2021) using Machine Learning techniques including SVM, Random Forest, and Gradient Boosting.
  • Developed highly accurate (96%) predictive models for students’ success indicators (retention, dropout, and graduation), enabling proactive advising for students in need.
  • Collaborated with school deans to make data-informed investment decisions, optimizing the school’s US News and World Report ranking.
  • Automated recurring reports on gender and ethnic group equity, as well as admission and financial aid reports for the office of the provost and deans.

Entrepreneurial Experience

Co-Founder and CTO at Algebra Intelligence

Part Time, January 2020 - June 2022

  • Led a pioneering team in creating and deploying Taqtak, a groundbreaking mobile/web application for real-time monitoring within energy plants. Successfully secured $1,060,000 in funding in the pre-seed stage.
    • Oversaw the entire development lifecycle from conceptualization to execution, ensuring seamless integration and optimal performance.
  • Led the data science team in developing an energy generation forecasting tool using advanced statistical analysis and machine learning algorithms.

Teaching Experience

Adjunct Professor at TrineOnline University

Part Time, June 2024 - Current

  • Delivered course materials focused on statistical methods and analysis techniques pertinent to IT research. Guided students in applying statistical tools to real-world IT problems and projects.
  • Taught fundamental and advanced concepts of computer science using Python. Created hands-on projects to reinforce learning and encourage practical application of programming skills.
  • Instructed students on the principles and practices of data science and big data analytics.

Data Science Instructor at Simplilearn

Part Time, April 2023 - Current

  • Instructed comprehensive courses on Data Science, covering a spectrum from foundational mathematical and statistical concepts to advanced topics.
  • Designed and delivered engaging modules on data exploration, visualization techniques, and best practices, fostering a deep understanding among students.
  • Equipped learners with practical skills in applied Data Science and Machine Learning, utilizing both R and Python programming languages.
  • Received consistently positive feedback for adeptly balancing theoretical knowledge with hands-on learning experiences, ensuring students grasp concepts effectively and confidently apply them in real-world scenarios.