Senior R&D Scientist Resume

SUMMARY:

Successful projects utilizing machine learning and natural language processing algorithms and models.
More than 10 years systems architecture and 17 years full life - cycle software development experience.
Master’s degree in natural language processing (NLP) and machine learning (ML).

TECHNICAL SKILLS:

Machine Learning: Feature engineering, R, Spark 2, scipy, scikit-learn, numpy, pandas, WEKA

Natural Language: POS tagging, Semantic role labeler, word2vec, TF/IDF, Natural Language Toolkit (NTLK), Stanford Parser, ClearNLP, FastText

Algorithms: Neural networks/deep learning, decision trees/forests, SVM, gradient descent, convex optimization, clustering, Bayesian inferencing, Bayesian networks, conditional random fields, shift reduce parsing

C loud/OS: Amazon AWS, S3, EMR/Hadoop/HDFS/Map Reduce, Spark 2, Databricks, ElasticSearch, Data frame/RDD, Linux, UNIX

Languages: Python, Clojure, Scala, Java, C/C++, Perl, Lisp, SQL

Databases: Semantic Web/SPARQL, SQL, MySQL, Oracle, Sybase/TSQL, Postgres

PROFESSIONAL EXPERIENCE:

Confidentialy

Senior R&D Scientist

Senior research engineer and developer in natural language processing (NLP), machine learning, and text analytics. Research and development work consisted of proving out methods that were then delivered to the development team. Work included collaboration with in-house team and international data scientists.
Research and creation of language identification models that improved accuracy by 9.98% over the baseline with an F-measure of 0.968.
Researched and creation of profanity and personal identification information annotation solution that improved accuracy by 55% over the baseline with an F-measure of 0.639.
Research and creation of a review comment classification model using Databricks Spark that performed with an F-measure of 0.7.

Confidential

Data Scientist

Designed and developed an English text-parsing system that classifies an author ’s intention using natural language processing and machine learning algorithms. Technologies included Clojure, WEKA, Stanford NLP Parser, NLTK and Android.
Researched and created predictive machine learning models for text classification.
Created an annotation toolset, database, and access services for NLP automation.
Joined early stage startup based at Chicago tech incubator 1871 to create beta version ’s NLP solution.

Confidential

Architect/Team Lead

Architected, designed, and help implemented an interactive visual content delivery technology from proof of concept to production on time and in little over a year, which allowed the product to be used with iOS and other HTML5 only browsers.
Implemented to recommend process improvements and lead team of five developers.

Confidential

Software Consultant

Implemented improvements as a consultant to Confidential ’ development teams, which resulted in a productivity increase of more than 30%.
Built a video player to a mobile device platform that distributes education content in Africa.

We provide IT Staff Augmentation Services!

We'd love your feedback!

Resume Categories

Client Services

Job Seekers

Visa Sponsorship