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Data scientist in finance and business intelligence. Previous experience in digital marketing, advertising and conversational AI. Expertise includes analysis and modeling on large and sparse datasets, cross-functional communication, and code development and deployment in fast-paced production environments. Skilled in Python, SQL, Spark/Pyspark, geospatial data, machine learning algorithms, NLP, large language models, at home in cloud environment. Graduate of The Data Incubator. PhD in Neuroscience.Specialties: Generative AI, conversational AI, LLM, prompt engineering, geospatial data, human behavioral data, digital marketing, programmatic advertising, signal processing, NLP, Deep Learning, ML Platform Development, data analysis and analytics, Python, SQL, NoSQL, Pandas, Spark/PySpark, PyTorch, Keras/TensorFLow, Docker, CI/CD Data Pipelines, API Devlopment, Scikit-Learn, MLOps, AWS, statistics, statistical modeling, tableau, MS Office, Excel
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Nexstratus
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Data ScientistCrowdstaffing @ Google Jun 2023 - Present
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FreelanceFreelance Feb 2023 - Jun 2023
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Senior Data ScientistBigtincan Apr 2022 - Jan 2023Waltham, Massachusetts, Us -
Data ScientistAdtheorent Sep 2019 - Mar 2022New York, New York, Us- Machine learning model development and optimization for digital advertising. Main focus: cookieless CPA and incremental CPA modeling, visitation modeling, audience retargeting and lookalike modeling- Building large scale (dataset size > 1 TB) automated data pipelines using Python, SQL and Spark- Real time monitoring and troubleshooting of data ingestion, model building and update status, compute time, and delivery volume using customized Airflow tasks for reporting and notifications -
Data Science FellowThe Data Incubator Jun 2019 - Aug 2019Phoenix, Az, Us- Created machine learning pipelines to use satellite image data to predict corn crop yield. Created a web app to to navigate and visualize corn yield data. - Constructed social network graphs from scraped data using requests, beautiful soup and networkx.- Built predictive models using unstructured review data from Yelp to predict restaurant success using sklearn and NLP.- Analyzed user behavior on Stack Exchange using spark, ElementTree, and NLP.- Built high performance image classifiers using convolutional neural networks with tensorflow and Keras.- Analyzed NYC restaurant health inspection data with advanced SQL queries. -
Postdoctoral Research FellowAlbert Einstein College Of Medicine Aug 2015 - Jun 2019Bronx, New York, Us- Used statistical modeling to identify factors related to drug addiction. This work identifies a previously unknown role for the ventral pallidum in addiction behavior.- Built classification models using general linear regression to predict neural response to a stimulus and validate findings from statistical models.- Developed a unique video-overlay based data visualization tool using R and Pure Data to visualize an animal's locomotor parameters in real time. -
Adjunct ProfessorCuny Hostos Community College Sep 2018 - May 2019Bronx, Ny , UsTaught and developed “General Biology I” for 1st-2nd year majors students. -
Research AssociateStony Brook University Sep 2014 - Aug 2015Stony Brook, Ny, Us -
Adjunct ProfessorNew York Institute Of Technology Sep 2014 - Dec 2014New York, New York, UsProfessor of Neuroscience for Occupational Therapy -
Research AssociateUniversity Of Pennsylvania Jan 2006 - Jul 2007Philadelphia, Pa, Us -
InternInnaphase Corporation Jun 2004 - Aug 2004 -
InternMoore Capital Management Jun 2003 - Aug 2003 -
InternMoore Capital Management Jun 2002 - Aug 2002
James Lederman Skills
James Lederman Education Details
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University Of PennsylvaniaBiology -
Stony Brook UniversityNeuroscience
Frequently Asked Questions about James Lederman
What company does James Lederman work for?
James Lederman works for Nexstratus
What is James Lederman's role at the current company?
James Lederman's current role is Data Scientist.
What is James Lederman's email address?
James Lederman's email address is le****@****ail.com
What is James Lederman's direct phone number?
James Lederman's direct phone number is +120385*****
What schools did James Lederman attend?
James Lederman attended University Of Pennsylvania, Stony Brook University.
What are some of James Lederman's interests?
James Lederman has interest in Collecting Antiques, Exercise, Home Improvement, Collecting Art, Shooting, Reading, Sports, The Arts, Golf, Home Decoration.
What skills is James Lederman known for?
James Lederman has skills like Neuroscience, Optogenetics, Patch Clamp, Electrophysiology, Molecular Biology, Cell Culture, Confocal Microscopy, Animal Models, Life Sciences, Animal Behavior, Matlab, Statistical Data Analysis.
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