Data Science Hero- A to Z Data Tips
My research aims to help others understand the concepts and mechanisms which underlay difficulty of relating information to business partners. Much of Data Science & Analysis is the use advanced Statistical methodologies and technologies . However, my goal is to explain the reasons 'why' methodologies are used, how to better relay your findings to business using advanced visualizations, and my specific passion of combining behavioral sciences and data science to find behavioral trends. I hope you find my research and tips to be helpful in our ever ending search for continued development. This blog will be good for anyone wishing to learn more about Python, Tableau, communicating to business partners/business stakeholders, and SCRUM . methodologies. I like to think each of as as full stack developers , as a Data Scientist we fill in the gap and constantly look over the edge of the unknown.
Bio
Who I Am
Experienced Business Intelligence Data Scientist with a demonstrated history of working with Digital/Loyalty data within the retail industry and government data. Strong business and analytical professional with a Master of Intelligence Studies focused in Predictive Intelligence Analytics. Highly experienced in Agile Methodologies and have served as SCRUM master, and Project Manager on several industry changing projects . Professional specialty is behavioral sciences merged with data science methodologies .Providing behavioral insights both in regard to segmentation and profiling as well as experimental stimuli (promotions) response . Experience in working in fuel space optimizing pricing,logistic optimization. predicting market reactions, and reducing waste using models in Python & R . Expert at Tableau creating visualizations to tell insightful stories based on such research .
My Research
Data Maturity Cycle
This is your Project Description. It’s a great place to describe your Project in more detail. Add images and provide visitors with essential information about your work, including the project length, partnerships or any successful outcomes. To hook new potential clients, show how your work has provided solutions for past clients.
Exploratory Data Analysis
Exploratory data analysis is a must have skill set data scientist and enthusiast need. Find insights in your data that can later be used for analysis & visualizations.
Data Mining & Machine Learning
We still have only a very limited understanding of Data Mining & Machine Learning. Answering questions about this is essential for understanding the mechanistic role it plays on other scientific processes, and for developing tools to further explore this research avenue with more sensitive measurements and improved data collection.
Visualization Wizard
In an effort to gain a better understanding of what my data and models mean, I have in the last several years begun to use a new technique to visualize my experimental models. My current tool of choice is Tableau due to its data blending capabilities, leading edge visualizations, and customization code to incorporate Python & R.
