"I am an experienced machine learning engineer and computer scientist, with a successful record of over 15 years of delivering predictive machine learning models

Practically, I have been helping out students in data science who need help with concepts and implementing programs/models using python, R, Matlab I can also help them implement math models in pytorch, tensorflow. I can guide them on basics and implementation of parallel programming concepts in map-reduce as provided by Apache Spark.

I have experience teaching for graduate programs at UCalifornia Santa Cruz extension and St Marys College

I have programmed several machine learning modeling projects that applied statistical machine learning and deep learning algorithms in classification, regressions, time series forecasting, computer vision, growth marketing, natural language processing and understanding, I have programmed neural network models for word embeddings, machine translation, sentiment analysis, and BERT. Attached are details on an NLP/NLU project of mine

https://www.linkedin.com/posts/rajeevseth_exploiting-advances-in-transfer-learning-activity-6864081694081855488-H_Q5

In the domain of quantitative finance, I have years of education in Finance, and experience building math models for risk quantification, stock selection, portfolio optimization, time series predictions etc.

Send ALL your problem set information in ONE package to [email protected]

Some students approach me for very specialized consulting topics as if they were debugging code in a job setting, rather than requesting tutoring knowhow to learn a new topic in machine learning. As you know, tutoring is not the same as debugging your programming project. Programming and debugging are time consuming so I cannot promise instant solutions when we start working together on your programming projects. You would need to be patient as all open source software is buggy" less...