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

Digital anthropologist

That's me!

*THIS IS AI'ed*
Former archaeologist turned GIS Supervisor at an electric company, I've found surprising parallels in modeling bias/variance trade-off. In archaeology, bias is inherent due to limited, biased samples, influenced by site conditions and archaeologists' presence. Adding variance means exploring diverse samples or consulting elders for nuanced cultural insights. In the electric industry, excess data can lead to distorted models; reality often defies system-wide predictions due to unique cases. Field crews, akin to archaeologists, prove vital in refining models, reducing both bias and variance. The key takeaway: human interpretation bridges gaps in modeling across seemingly disparate fields.

FAQ

Frequently asked questions

What type of projects do you take on?

 I usually work on B2C software, that's my forte--where I shine best. But I also have about 15 B2B software products in my portfolio. I do end-to-end product design + branding.

What is your hourly rate?

I only charge hourly for my ongoing projects that need work on the regular. One-time projects are charged upfront to keep it transparent and clean! My hourly rate is $100.

What time-zone do you work in?

I work Pacific Standard Time, but I'm always ready to help out in emergencies, no matter the hour.

What is the typical timeline for a project?

Depends on the scope of the project, really. Some projects take less than a week. Some take months. The best way to find out is to get on a quick call with me, and discuss it. No strings attached!

How do you charge for projects ?

I quote a price upfront--so that you know exactly what you're paying and for what, and there are no surprises later. The exact cost of your project depends on the scope and requirements!

What does your design process look like?

I take a problem-forward approach. Whether we're iterating on an existing product or building a new one from scratch, how to solve the user's problem in the simplest way possible is my first concern.

Send me an email to understand my process in depth!

What metrics do you use to measure success?

The best metrics are customer adoption, happiness, task success, and engagement. There are a number of frameworks such as the System Usability Scale that help us understand product performance and I'm happy to help with that.

What if I need help after the project is complete?

I always make sure to help out my clients one month after the project ends, for free. For any help post that, we can work out an ongoing arrangement!