About Me

I am a data scientist with years of experience in the industry. I am passionate about using data to solve real-world problems. I have a strong background in statistics, machine learning, and data mining. I am also proficient in a variety of programming languages, including Python, Javascript, and SQL.

Currently, I work as a Data Engineer for Eco Plumbers, Electricians, and HVAC Technicians where I create dashboards and general insights using Looker Studio, Google Cloud Platform, Postgresql/DBT, and Python libraries such as pyTorch, sqlalchemy, pandas/pySpark, Django, and matplotlib.

I am currently open to new opportunitys where I can use my skills and experience to make a positive impact on the world.

Projects | to be replaced with future blog content

Project 1
Projection Algorithm for daily Revenue and Sales algorithms

Using the derivative of previous data trends, as well as factors such a time of year, current technician availability, and leading business unit I was able to create a projection algorithm that come within 9% error from actual daily values before salemen and installers even start their day. This algorithm helped guide daily decisions to pinpoint possible problem business units and technicians so that management could target weaker units and focus on meeting overall budgets.

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Project 2
Developed a wrapper to log errors within a data pipeline

A script that allowed for communication with a Postgresql database and logs any error within python functions. This data can be used to report when certain pipelines break which allowed our department to know when theres possible breakages in our pipeline earlier and even fix them before customers see stale data.

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Project 3
Created a training tracker with features such as training expiration and technician training schedules

This web app was build on google sheets using Appscript to hookup google calendar in order to track and maintain training history for technicians in case of an audit. This sheet included sections for future expirations so that new training could be scheduled before their previous certifications expiration date and new hire sections so new hire's certifcations could be tracked.

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Skill 1
Machine Learning

I am proficient in a variety of machine learning techniques, such as MLOPs using GCP Vertex AI and Python libraries like Keras, TensorFlow(+TFX), and scikit-learn. I have used machine learning to solve a variety of problems, such as:

Skill 2
Data Engineering

I am proficient in a variety of data analysis and engineering techniques, with experience in BI-tools such as Looker, Tableau, and PowerBI. I have used exporatory data analysis techniques in both structured and unstructured databases, creating tools and insights such as:

Education

Awards