DanM's Projects
Final Project for IBM Data Engineering & Python Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification
Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders
Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
Project for IBM Data Engineering & Python course on ML & AI -- Created predictions for noise of an airfoil based on various physical features
Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database
Project for IBM Data Engineering & Python course on ETL & Big Data -- Scraped website data and made API calls for additional data; wrangled and transformed this data and loaded into a SQL database.
Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing
Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in data, wrote to SQL database and performed queries, performed statistical analysis and issued reports
Project for University of Michigan Python Programming Specialization -- Read in documents with images and text, and utilized CV libraries/packages to extract specific types of images and text, pairing them together
Project for IBM Data Engineering & Python course on Linux & Shell Scripts -- Wrote and executed bash scripts to manipulate folders and files to create a full directory backup with automation using crontab
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
Project for IBM Data Science course on ML Models & Analysis -- Read in large dataset of home sales and utilized polynomial linear regression analysis to make predictions of future home sales prices
Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.
Project for University of Michigan Python Programming Specialization -- Read in tweets and analyzed their content to perform basic sentiment analysis
Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.
Project for University of Michigan Applied Data Science Specialization -- Developed functions to score similarity between text passages.
Personal
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
Independent Project - Kaggle Competition -- I worked on the Data Science London data set for the Data Science London + Scikit-learn competition.
Independent Project - I created a Docker image that stands up a website that live weather alerts on an interactive map.
Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.
Independent Project - Kaggle Dataset-- I worked with the Mall Customer Segmentation Dataset, which provided a various instances of shoppers of different ages, incomes, etc. I utilized unsupervised ML clustering algorithms to identify useful customer segments.
Independent Project - I joined and manipulated data from disparate tables of movie information using Python & SQLite; defined schema, created tables/views, queried data, etc. Utilized CTE's, Window Functions, and other DDL, DQL, DML, and DCL scripts.
Independent Project - Kaggle Dataset-- I worked with the News Category Dataset, which provided a headline and description, etc. in .json format; used NLTK for NLP, tokenizing, lemmatizing, and finding part-of-speech; trained and tuned parameters on classifier models to predict news category based on headline text.
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
Independent (personal) project in which I automatically generate README files for each of my repositories from my coursework
Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.
A full set of the certificates achieved my the work I completed as part of various Professional Certifications, Specializations, Courses, and Projects.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent