Skip to content
View bryce-bowles's full-sized avatar

Block or report bryce-bowles

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
bryce-bowles/README.md

About me

Professional Portfolio Website

https://bryce-bowles.github.io/ Created a Professional Portfolio Website to display my projects and thoughts.

Practicing Data Science and Machine Learning Engineering 👨‍💻. Captivated in learning descriptive, predictive and prescriptive/decision analyses that enhance and optimize business processes with data driven decision making.

  • 🌱 Proficient in querying data, wrangling, modeling, visualizing and presenting data using R, Python, SQL/PostgreSQL, Tableau, MS Power BI, StatTools, PrecisionTree, Excel/Access etc.

  • 🎓 Completed my Masters in Decision Analytics (MDA) (4.0 GPA) while working as an analyst full time 💼 in various data and technical roles

  • ⚡ Persistent curiosity, continuous desire to solve problems and excellent communication skills with the ability to build lasting relationships

  • 📶 I welcome you to join me on my data/tech learning journey! To get to know me more, I highly encourage you to view my Personal Portfolio Website, Resume, Academic Portfolio Document and Academic Transcript. Feel free to connect on LinkedIn or give me a follow on GitHub to stay in the loop!


Connect with me


My Skill Set

Skills and Tools

MySQL Adobe InDesign R PostgreSQL Oracle Python TensorFlow Hadoop Git pytorch Tableau Power Bi Illustrator Photoshop Bash
  • R (R-Studio):
    • Caret (randomForest, ranger, rpart, cubist, glm, gbm, xgbTree, nnet, and other boosting/bagging concepts etc.), dplyr, tidyverse, Ggplot2 etc.
  • Python (python 3, Juypter Notebooks):
    • Pandas, NumPy, SciPy, Pyomo, GLPK, Matplotlib, Scikit Learn, Plotly
  • SQL (Postgres SQL, SSMS, AQT, Oracle APEX)
  • MS Excel
    • Goal seek, solver, Palisade Decision Tools (Risk for simulation, Precision Tree for decision trees and StatTools for statistical analysis and forecasting)
  • Tableau
  • MS Power BI
  • SAP Crystal
  • KNIME

Master in Decision Analytics (MDA)

  • Course Descriptions GitHub Repository:
    • Advanced Decision Analytics / Management Science
    • Analysis and Design of Database Systems
    • Business Data Analytics
    • Business Intelligence
    • Business Policy and Strategy
    • Calculus with Analytic Geometry
    • Data Centric Reengineering
    • Database Management Systems
    • Decision and Risk Analytics
    • Forecasting Methods
    • Statistical Analysis and Modeling
    • Statistical Fundamentals of Business MGMT
    • Quality Management and 6 Sigma

Awards:



Work related Projects

Detailed descriptions of my work projects are on my Portfolio Website.



Popular repositories Loading

  1. office-workspace-optimization office-workspace-optimization Public

    Won Optimization model class competition issued by Dr. Brooks (M.D.A. department chair and professor). Proposed Python, Pyomo and GLPK network optimization model approach with binary variables and …

    Jupyter Notebook 4

  2. TS-Apple_Watch_Data TS-Apple_Watch_Data Public

    Time series health workout data was extracted from my Apple watch to analyze workout variables. A Scope, descriptive statistics, pivot tables, C-Chart and scatter plots were created to check workou…

    1

  3. KJ-manufacturing-TSF KJ-manufacturing-TSF Public

    KJ Manufacturing Company case scenario: Discussed the forecasting process at KJ Manufacturing, any relevant factors about the company and industry that are pertinent to the new forecast and Ken’s f…

    1

  4. tsf-richmond-bank tsf-richmond-bank Public

    Using MS Excel and R, accurately forecasted total core deposit data from a Richmond Bank. The Holt’s Linear Exponential Smoothing had the overall lowest “Quick and Dirty” MAPE (1.2%), the lowest ov…

    R 1

  5. ts-plots.R ts-plots.R Public

    ts-plots.R

    R 1

  6. lending-club-classification lending-club-classification Public

    Built a logistic regression model and a classification tree model for predicting the final status of a loan based on various variables available. Confusion matrix and misclassification rate for eac…

    R 1