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Emulating Apple Silicon devices.
Springboard Program: Data Science Career Track - NLP
Easily enable / disable WiFi proxy on a jailbroken iOS device
An iOS SpringBoard tweak,double click to start the debug server.
Turning salesforce lead, oppty, & sales activities data => Sales predictions using pandas, Scikit-learn, SQLAlchemy, Redshift, XGBoost Classifier
Make the iOS Messages app translucent!
Assets.car files to replace Flash & Camera icons
Turning raw kickstarter text data => Campaign predictions using SpaCy, Scikit-learn, SQLAlchemy, SQLite3 & XGBoost Classifier (feat eng = Bag-of-Words, Tfdvectorizer)
Private tweak that supports some of my server toys
Collection of notes, code snippets, & mini projects for the ML Eng track.
Call center statistics analysis.
Hide the status bar time on the home screen http://insanj.github.io/HideHomeTime/
Airflow DAG scheduling to get stock data from Yahoo! Finance, save to csv files, fetch csv file to database and query.
Springboard Data Science Career Track assignments
Built Apache Airflow DAGs to automate Yahoo Finance stock data ingestion, storage, and querying, then extended with a Python log analyzer to monitor execution errors. Demonstrates orchestration, scheduling, operator use, and pipeline monitoring.
Repository for everything related Springboard Introduction to Data Science workshop
Brewery review analysis and summarization with NLP - Springboard Data Science Career Track - April 2020 Cohort - Final Capstone
🏁 Personal GitHub setup for easy project initialization
Set iOS wallpaper, by Activator gesture, to a random Unsplash image
Springboard - Data Wrangling Exercise 1
Springboard Intro To Data Science Training Projects
Dark styled system elements
iOS tweak to hide blue 'recently updated' and orange 'beta' dots next to app labels.
Recommendation engine for board games, using data from BoardGameGeek.com
A springboard project for new Drupal 8 projects, using as many standards and best practices as possible.
Topic model analysis of Berkshire Hathaway annual letters (Completed Capstone Project #2)
Springboard Capstone Project 1
Springboard guided capstone project
Optimized PySpark jobs by analyzing query execution plans and rewriting transformations for efficiency. Applied techniques such as reducing shuffles, tuning partitions, selecting efficient operators, and choosing optimal data formats. Demonstrates performance tuning for large-scale Spark ETL workloads using Python and PySpark.
Redesigned a Hadoop MapReduce post-sales reporting system using Spark. Processed automobile incident data to add make/year attributes and aggregate accidents by vehicle. Implemented RDD transformations, groupByKey, and reduceByKey to generate reports efficiently, highlighting Spark’s performance advantage over MapReduce.
Built a streaming fraud detection system with Apache Kafka and Python. Deployed a Kafka cluster via Docker Compose, implemented a transaction generator and fraud detector using kafka-python, and routed suspicious transactions to separate topics for real-time monitoring. Demonstrates event streaming, producers, consumers, and containerization.