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Data Engineer/Scientist. This profile showcases some of my personal and academic projects. BS/MS University of Pennsylvania
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Coalesce.io
Data Scientist
June 29, 2026 – Present
nyc_apt_searcher
June 9, 2026 – Present
Project to make everyone's lives easier when searching for an apartment in NYC.
View Projectdemo_issue_control_plane
June 8, 2026 – Present
Control plane to monitor the status of outstanding issues on the codebase and monitor fix status with Devin.
View Projectintro_to_mcp_anthropic
April 25, 2026 – Present
Repo to hold practice content for the Anthropic course: https://anthropic.skilljar.com/introduction-to-model-context-protocol
View Projectdatabricks_cert_baby_names
August 7, 2023 – September 19, 2023
Repository to hold notebooks from the databricks certification course.
View Projectvalue_estimation
May 28, 2020 – May 29, 2020
Repository to store work from the course "Machine Learning and AI foundations: Value Estimation" on LinkedIn Learning.
View Projecturl-shortener
May 26, 2020 – May 26, 2020
Repository for coursework completed for linkedin learning Flask development course.
View Projectbraf_implementation
April 20, 2020 – May 13, 2020
Implementation of the Biased Random Forest Machine Learning Algorithm in dealing with class imbalance on the Pima diabetes dataset.
View Projectnlp_case_study
March 26, 2020 – March 31, 2020
Repository to hold files for preliminary nlp data processing of various .txt documents.
View Projectrecommendation_systems
March 18, 2020 – March 23, 2020
Repository to hold course materials from the course https://www.linkedin.com/learning/building-a-recommendation-system-with-python-machine-learning-ai/welcome
View ProjectMIT_6.0001x
February 6, 2020 – February 6, 2020
Repository for original coding solutions to introductory python course on MIT openCourseware
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, demonstrating self-driven learning and exploration in data science. However, the lack of diverse team projects or open-source contributions makes it difficult to fully assess cultural fit in a collaborative professional environment. The projects align with a Data Scientist role, but the breadth of technologies outside Python is limited, which might impact adaptability to diverse tech stacks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided assessment scores for English and Psychometric tests are 0, which does not allow for evaluation.