Experience

Revantage, A Blackstone Portfolio Company

• United States
• Real Estate
• 400 - 500 Employee

• Data Engineer

  • May 2023 - Present



Illinois Institute of Technology

• United States
• Higher Education
• 700 & Above Employee

• Teaching Assistant

  • Jan 2023 - May 2023

  • Prepare teaching materials and assignments for the subject 'Data Mining and Machine Learning'. • Grade and proctor assignments/exams and QA during office hours and on Blackboard/Student Emails. • Prepare teaching materials and assignments for the subject 'Data Mining and Machine Learning'. • Grade and proctor assignments/exams and QA during office hours and on Blackboard/Student Emails.



Revantage, A Blackstone Portfolio Company

• United States
• Real Estate
• 400 - 500 Employee

• Technology Intern

  • Jun 2022 - Aug 2022

  • Designed Data Models and built Data Pipelines for Databases & Data Warehouses of Blackstone’s hospitality sector. • Built Analytical dashboards to monitor Data Pipelines and obtain insights on real estate data. • Designed Data Models and built Data Pipelines for Databases & Data Warehouses of Blackstone’s hospitality sector. • Built Analytical dashboards to monitor Data Pipelines and obtain insights on real estate data.



Creda Health

• United States
• Wellness and Fitness Services
• 1 - 100 Employee

• Software Engineer

  • Jan 2021 - Jul 2021

  • Dealt with the World's Largest database of suspected side/adverse effects (World Health Organization). • Collaborated closely with senior management to connect product goals with medical research & identify data applications. • Initiated and led the project of creating a recommendation system for alteration of medicine dose in side effect events with variance explained above 85%. • Dealt with the World's Largest database of suspected side/adverse effects (World Health Organization). • Collaborated closely with senior management to connect product goals with medical research & identify data applications. • Initiated and led the project of creating a recommendation system for alteration of medicine dose in side effect events with variance explained above 85%.



Intelligent Machines Lab

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• Data Analyst

  • Sep 2018 - Dec 2020

  • Identified and achieved accuracy above 90% in classification to catch medicine suspect for side effects and predict the effect’s severity. • Innovated 3 research topics by exploring data on medical and healthcare topics with subject matter experts. • Performed Ad hoc analysis to support decision making and identifying new opportunities. • Designed and Adapted Data Models and maintained Databases & Data Warehouses, combining diverse applications. • Increased user engagement by 5 times more by analyzing and tracking UX. • Scraped data for different machine learning applications and data validation. • Saving ~ 2 hours of manual work each day by creating scripts to automate data tasks. • Improved user engagement by 25% by developing a chatbot that generate reports of health management recommendations • Coordinated with the development team to build real-time analytical dashboards and integrated third party APIs. Show less