Melissa Anthony

Digital Anthropologist

I am a seasoned data specialist who is focused on what makes us human.

My origin as an anthropologist and background in social sciences gives me a deeper understanding of the human condition and guides the narratives I create to form empathetic solutions.

Highlights

Areas of expertise

NLP

As an anthropological linguist, my first love is to dive into language and speech patterns, which help empower my work's processing of human motivation. This passion came from my mother who taught English.

AI / Machine Learning

AI and Machine Learning is more than an API call, it's helped me become a better scientist and in turn propels my ambitions towards helping others that do not have the resources to harness this magic, let alone know that it exists.

Spatial Analysis

My enthusiasm for spatial analysis stems from its ability to unearth valuable insights and patterns within geographic data, fueling my commitment to employing advanced techniques for actionable solutions that empower informed decision-making and problem-solving across diverse fields.

Data Engineering

Data engineering allows me to architect and optimize the data pipelines that drive informed decision-making, transforming raw information into actionable insights, and enabling businesses to thrive in the data-driven era.

Data Design

My affinity for data design lies in crafting elegant and efficient data structures, making complex information accessible and visually compelling, while seamlessly connecting across platforms to facilitate data-driven decision-making and enhance user experiences.

Data Analytics

The valuable insights that this 15-plus-year skillset offers me is the ability to craft compelling stories for stakeholders to make important decisions and inform everyone involved, including me, how we can achieve more together.

projects

Explore my diverse range of projects

Gridscape

Application Development

Enhancing grid visibility capabilities

The development of GridScape, a geospatial tool, addressed the need for distribution system insights by providing a holistic view of the service territory, transformer triage, solar insights, and electric vehicle density. The tool leveraged specialized GIS tools such as ArcPy, and libraries like Python and R for application development.

Analysis
Business Insights
Visualization
GIS
Engineering

Too Many Cooks

OpenAI WebScraper

Ever get frustrated at the amount of extra sifting you have to do when looking for a recipe?

Harnessing OpenAI and Python to build a better Cookbook through prompt engineering. This involved using Python and an OpenAI chatbot to scrape recipes from the internet and create a user-friendly platform for finding recipes without ads.

AI
ML
Engineering

EV Dashboard

Power BI Visualization

Enhanced EV adoption insights platform

The EV Engineering Insights Dashboard, crafted with Power BI and advanced Python scripting, showcases technical prowess in data processing, geospatial analysis, and interactive visualization. Featuring sophisticated functionalities such as Power Query, Power Pivot, and Power View, along with Python packages like pandas and GeoPandas, the dashboard provides engineers, analysts and executives a comprehensive tool for handling complex EV registration data, offering insights into spatial distribution, historical trends, and dynamic changes in the electric mobility landscape.

Visualization
Business Insights
GIS

Oh, The Horror!

Sentiment Analysis

Where should you go to find a good horror movie?

​I scraped two subreddits and use natural language processing to recommend a site for new horror news.

NLP
Analysis
Engineering

AMI Meter Rollout

SAP Visualization

Improving financial and operational insights

The creation of an SAC dashboard to monitor the transition from standard to automated meters. This transition is significant as it represents a shift from using statistical sampling to obtain estimated loads by customer type to having 100% visibility of customers and their actual usage.

Analysis
Business Insights
Visualization
GIS

Help in a SNAP

Random Forest Vote Ensemble

Which groups are vulnerable to food insecurity in America during COVID?

I perform a risk assessment on SNAP user profiles using a 10-year gap analysis process involving GIS tools as well as interpreting a prediction model.

NLP
GIS
Engineering
Analysis

Behind the Mask

Image Classifier

Who wears masks? Let’s use AI to find out…

I built a neural network image classifier to predict which Twitter images, that were scraped using Tweepy, are wearing a mask.  I then map the distribution of images on a GIS map.

GIS
Neural Network
Engineering
Analysis