My Experiences Log
Relevant Work Experience
• Engineer highly secure and reliable enterprise-grade software development across financial services using RESTful principles in a Scrum environment.
• Design, scale, and maintain secure data pipelines, build analytics applications that drive business intelligence.
• Developed and maintained Microsoft Azure cloud infrastructure across the bank, ensuring secure and reliable support for enterprise applications and internal technology operations.
• Faculty research aide under Professor Jill Slye analyzing research data, creating dashboards, and compiling and synthesizing research reports to communicate key insights.
• Automated extraction of underwriting data for 25,000+ insurance accounts for 10+ unique fields each via a multithreaded Python Selenium bot, replacing an infeasible manual process and enabling timely insights for business intelligence.
• Produced comprehensive Python reports by merging and feature engineering from internal datasets to support company initiatives, including underwriting analysis, policy tracking, and sales performance.
• Coded dynamic email and letter templates utilized in automated communications using Apache Velocity, integrating policy and customer data to generate personalized content for life insurance clients at scale.
• Guide and manage students in groups of 4 with final software engineering project requiring 2+ APIs, MongoDB or MySQL databases, proper containerization and orchestration, completed in an agile / scrum environment using Jira.
• Assist with creation of comprehensive unit testing / proper exception handling, extensive information security, complete documentation, and architecting model-view-controller (MVC) software design patterns.
• Hold 4+ hours of office hours and facilitate 2 lab periods in addition to assessment and administration for 15+ weeks.
• Developed a robust program for large-scale de-duplication of educational accounts in company's Salesforce instance,
achieving ~95% accuracy and processing 80,000+ accounts.
• Scraped 25,000+ data points from Google Maps autonomously through developed Python web scraping script for the
field population of over 4000+ strategic academic institutional accounts.
• Engineered a comprehensive Python web-scraping script utilizing Pandas and fuzzy matching algorithms to automate
mass verification of unverified educational accounts, resulting in a 90% reduction in processing time.
• Designed highly customizable Google Looker looks and dashboards to support the company’s community college
initiatives, enabling enhanced data visualization and decision-making for department-wide educational programs.
• Directed creation and marketing of an Onshape research event and design challenge at Boston University’s EPIC Lab,
leading to increased collaboration and partnership within the university space and among research stakeholders.
• Authored and published a 1,200+ word research blog by collaborating with relevant internal stakeholders and PTC
Education’s external partners.
• Proposed and implemented LookML solution for case-sensitivity of filter criterion for PTC Education Google Looker dashboards.
• My end of internship presentation to PTC employees and executives: Poster!
My Education
Masters of Liberal Arts in the field of Systems Engineering
Bachelors of Arts in Computer Science, Minor in Business Administration and Management
