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311-calls-in-boston

airbnb-quality-metrics-in-boston

analyze-acs-dataset

bike-collisions-in-boston

case-study-model

Created datasets with SQL by connecting to Snowflake and calculated Case Study metrics in R on a monthly basis using the cumulative method to forecast the effects that our omnichannel can have on TRx, incremental revenue, Return on Investment (ROI), and the number of patients.

census-data-for-new-england

emergency-medical-services-in-boston

foster-youth-in-ma-schools

generating-airbnb-dataset

generating-craigslist-dataset

generating-yelp-dataset

k-means-clustering

Created Python-based K-Means Clustering to group customers/HCPs based on common characteristics

llm-chatbot-python

https://graphacademy.neo4j.com/courses/llm-chatbot-python/

machine-learning

matching-adresses

portio-hugo

Portio Hugo is a simple, minimal and responsive Portfolio Hugo Theme. Portio Hugo is well organized, well-formatted, and named accordingly so it’s easy to change any and all of the design. Portio is built with Bootstrap 4. You can customize it very easily to fit your needs.

progression-algorithm

Developed a daily calculation of HCPs' behavioral data in Python to track the stage of each customer within the program journey to deliver the next best message and used Support Vector Machine model in R to predict where a prescriber will be at the end of the program. Use a Bagging model to optimize the model and increase accuracy.

sanity-check

Sanity check between data for building permits 2019 and 2018

survey-about-covid-19-in-boston

time-series-rshiny

Designed and implemented an interactive R Shiny dashboard to visualize billable hours per project and client, enhancing company-wide transparency and insights. Utilized advanced time series forecasting models to predict future hours, optimizing resource allocation and strategic planning.