Project: Update and Modernize Jump Starts of RStudio Connect

Created new jump starts for dash with added new package compatibility including new interactive graphing, cross filtering, and layouts. Removed any obsolete code from previous jump start and updated it with new syntax and functions.

Created new jump starts for Jupyter that included interactive charts using stock report data and user specifications

Added numerous graphing and data extraction techniques to jump start for pins

Researched n-grams, lemmatization and nuclear physics lexicon for topic modeling

Worked on program to auto populate literature database with science research papers and extract elements and chemicals mentioned within using researched NLP methods such as LDA

Added a flagging system to the program that tags matches for further user review (i.e. as an allowable way of matching 1H vs H, with a warning note included in the match metadata)

Project: Image Analysis for Fraud Detection

Using AlexNet, developed a program to augment the decision-making capabilities in the progress of identifying similar documents and images during the investigative phase of fraud cases.

Streamlined pre-processing of large amounts of data with a focus on error-handling (corrupt or empty files) and detailed documentation through logs and custom emails of important updates.

Added an interactive display table for simple viewing and sorting of case results through Power Bi/Tableau

Built foundation to graphing and data organizing program from libraries Pandas and JSON to identify mutations in mitochondrial DNA.

Automated conversion of Google Scholar data into bibliographies for studies using Python Scholarly Module and JSON.

Trained artificially intelligent robots to accomplish various tests, gather and analyze data on robots’ performances with an emphasis on depth perception, and evaluate the robots’ strategies on sorting and identifying items