Joshua Jodesty
Lead Data Engineer at BlockScience.
Joshua E. Jodesty is a data engineer who implemented distributed machine learning data pipelines that forecast viewership for an AdTech firm. He contributed to a framework for simultaneous cross-disciplinary implementation of Machine Learning enabled data pipelines. He also conducted learning analytics research enabling universities to predict student performance in online courses. Most solutions were implemented using distributed / cluster computing frameworks on cloud-computing platforms. Joshua enjoys using distributed systems to solve complex problems with cross-disciplinary teams.
