Learn more about me
Data Scientist Data Scientist I am a passionate data scientist with expertise in analyzing and interpreting complex data sets. I have a strong background in statistical analysis, machine learning, and data visualization.
My academic foundation, encompassing a BS and BA, complements my hands-on project experience across diverse domains. I am passionate about solving challenging problems with innovative analytical techniques, and I continuously strive to stay updated with the latest advancements in the field. I pride myself on being a great communicator and an effective collaborator, which allows me to work seamlessly with cross-functional teams and deliver impactful results.
Beyond my technical pursuits, I enjoy exploring the great outdoors. Hiking, fishing, and camping not only provide a refreshing counterbalance to my analytical work but also inspire creative problem-solving and foster a resilient, adaptive mindset. These activities keep me grounded and reinforce my commitment to maintaining a healthy work-life balance.
Feel free to explore my portfolio and resume to gain further insight into my professional journey and experiences. If you have any questions or would like to discuss potential opportunities, please do not hesitate to contact me.
John Pospisil
Programming: Python, SQL, HTML5, CSS3, Javascript, Express, Node, JSON, XML
Visualization: Jupyter Notebook, Tableau, Excel Charts
Database: PostgreSQL, MongoDB
Soft Skills: Excellent presentation, verbal, and written communication skills
Job Ready Programmer
Master SQL queries and sub-queries using large datasets in a PostgreSQL environment.
365 Careers
Mathematics, Probability, Statistics, Python, Advanced Statistics in Python, Machine Learning, Neural Networks, Tensorflow 2.0, and Deep Learning.
SuperDataScience Team
Create interactive Dashboards and Storylines using various charts, Calculated fields, timeseries data, aggregation, granularity, joins, and relationships.
Udemy
Python Data Preprocessing, Regression, Classification, Clustering, Association Rule Learning, Reinforcement Learning, Natural Language Processing NLP, Deep Learning, Dimensionality Reduction, Model Selection, and Boosting.
Udemy
HTML, CSS, JavaScript, Node, MongoDB, and Bootstrap.
Collabnet
Rodgers Instruments LLC, Hillsboro, OR
John Pospisil Audio Development, Portland, OR
Wright State University, Dayton, OH
Berklee College of Music, Boston, MA
Ohio State University, Columbus, OH
Contact Me
Portland, OR
john@johnpospisil.com
+1 503 577 0499