Jennifer Heffernan work email
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Jennifer Heffernan personal email
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Jennifer Heffernan is a Head of Data Science at Voicera AI. She possess expertise in c, matlab, java, c++, python and 14 more skills. Colleagues describe her as "I was Jennifer’s manager at Acquia for a year and a half. Jennifer was always very structured and analytical in her approach. She produced high quality work and her deliverables were complete (code, tests, runbooks, user documentation, presentations, etc). Jennifer worked on complex features that required extensive planning and, in some cases, required frequent communication with teams outside of the ML team. In her role, she has had to rapidly and successfully learn and leverage software such as Spark, Airflow, MLFlow or Jenkins. Jennifer has several years of experience working with AWS services and earned a couple of certifications. Overall, it has been a pleasure to work with Jennifer and I recommend her for any Data Scientist or Machine Learning Engineer position." and "I have been a professor at Stevens teaching required CS courses for almost two decades and Jennifer is clearly among the very best students I've had. She is hard working and smart. I recommend her without hesitation."
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Head Of Data ScienceVoicera AiHopedale, Ma, Us -
Data ScientistSensor Tower Oct 2021 - PresentSan Francisco, California, Us• Integration of a new data source as observationso Analysis and proof of concept for the new data sourceo Created a daily job to create observations and a daily monitoring jobo Included data processing and filtering, tuning, queries in ClickHouse, RSpec coverage, and integration with internal dashboards• Incorporated a data source to automatically apply an adjustment on select estimateso Included the detection of estimates to adjust and data processing to find new estimate targetso Extensive work on QA to verify that the automatic adjustments improve estimates and edge cases are removed from the system, ensuring a low risk of undesirable adjustmentso Implemented multiple expansions for more coverage and use cases• Various model improvements and tuning, staging environment improvements, and bug fixes• Majority of time spent working on production code in Ruby, frequent analysis work done in Jupyter Notebooks in python -
Machine Learning EngineerAcquia Sep 2020 - Sep 2021Boston, Ma, Us• Key contributor on the implementation of a recommendation systemo Compared different options for recommendation frameworkso Wrote production code for the recommendation system• Prototyped and implemented a clustering modelo Prototyped the model in notebooks, wrote production code to add the clustering model as an option to the machine learning pipeline, verified results and compared to existing model, made tweaks to improve results• Worked on an AWS intensive project from PoC to alpha versiono Involved the following AWS services: SageMaker, CloudFormation, IAM, Lambda, ECR, S3 -
Data ScientistAcquia Aug 2017 - Sep 2020Boston, Ma, Us• Contributor to NLP project for document classification and document similarity searcho Researched and tested algorithm improvementso Compared different approaches for handling documents in multiple languages• Explored clustering with customer datao Used PySpark on AWS EMR clusters and redshift• Worked on dashboards, reports and PoCs for a data analytics producto Wrote Looker LookML code for dashboards, both internal and customer facingo Worked on features and issues in the data pipeline involving RDS and Redshifto Designed statistical tests and metrics for A/B testingo PoC for multi-armed bandit algorithmo PoC for incorporating third party data -
Associate Technical StaffMit Lincoln Laboratory Jul 2015 - Aug 2017Lexington, Ma, Us• Conducted applied research on cutting edge computer vision techniqueso Researched and performed experiments on a person re-identification systemo Developed an evaluation framework • Key contributor on a sensor fusion projecto Assisted with data collectiono Cleaned and aligned datao Explored possible features and chose final feature seto Assisted with fusion algorithm implementationo Created visualization toolso Performed evaluations and sensitivity analyses -
Summer Research InternMit Lincoln Laboratory Jun 2014 - Aug 2014Lexington, Ma, Us• Researched and implemented Query Expansion algorithms for a search tool for short texts• Combined use of corpus based algorithms and lexical databases in a MATLAB project using c files wrapped with Mex files -
Software Engineering InternGoogle May 2013 - Aug 2013Mountain View, Ca, Us• Contributed to the open source software ios-driver by adding new capability• Implemented ability for Webdriver scripts to use ios-driver to collect performance logs from DevTools• Compared tools for data transfer in an effort to identify the best system for monitoring lab devices -
Summer Research InternMit Lincoln Laboratory May 2012 - Aug 2012Lexington, Ma, Us• Added user features for an interactive 3D model of a computer network using Unity 3D• Created MATLAB Scripts to organize real-time network data• Completed a presentations course leading up to a final presentation -
Technical InternBae Systems 2011 - 2011London, Gb• Created tools to analyze messages sent between processors• Wrote C++ code for embedded processors and for checking connectivity between processors
Jennifer Heffernan Skills
Jennifer Heffernan Education Details
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Stevens Institute Of TechnologyComputer Science -
Stevens Institute Of TechnologyComputer Science -
Stevens Institute Of TechnologyMathematics
Frequently Asked Questions about Jennifer Heffernan
What company does Jennifer Heffernan work for?
Jennifer Heffernan works for Voicera Ai
What is Jennifer Heffernan's role at the current company?
Jennifer Heffernan's current role is Head of Data Science.
What is Jennifer Heffernan's email address?
Jennifer Heffernan's email address is je****@****uia.com
What is Jennifer Heffernan's direct phone number?
Jennifer Heffernan's direct phone number is +161758*****
What schools did Jennifer Heffernan attend?
Jennifer Heffernan attended Stevens Institute Of Technology, Stevens Institute Of Technology, Stevens Institute Of Technology.
What skills is Jennifer Heffernan known for?
Jennifer Heffernan has skills like C, Matlab, Java, C++, Python, Software Engineering, Data Analysis, Machine Learning, Computer Science, Algorithms, Programming, Sql.
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