Who is Brynn Lee? Overview
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Brynn Lee is listed as Data Scientist at IngenID, based in Los Angeles, California, United States. AeroLeads shows a matched LinkedIn profile for Brynn Lee.
Brynn Lee previously worked as Graduate Research Assistant at University Of Rochester and Data Science Project Lead at City Of Rochester. Brynn Lee holds Master Of Science - Ms, Data Science from University Of Rochester.
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About Brynn Lee
Data Scientist with 3+ years of experience in AI/ML, specializing in tackling high-impact challenges in audio and speech data, deepfake detection, resource optimization, GIS applications, and emergency response systems. Committed to using my expertise to safeguard personal security and support smarter decision-making in their everyday lives.■ Key Achievements Delivered to Real-World Clients- Advanced voice deepfake detection for 2M+ monthly voice biometrics validations (@IngenID, @AirLab).- Optimized emergency response strategies through predictive modeling for 500 personnel and 50K annual dispatches (@Rochester Fire Department).■ Education- MS in Data Science, University of Rochester (Dec 2024)- BS in Physics, Yonsei University (Feb 2019)■ Skills- Programming & Modeling: Python (TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn), SQL, R- AI/ML Techniques: Deepfake detection, Resource Allocation, Response Optimization, Deep Learning, Generative AI, NLP, Predictive Analytics- Soft Skills: Strong communication, project leadership, cross-functional collaboration, and thriving in fast-paced, high-pressure environments ■ Contactbrynnlee.ds@gmail.com
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Brynn Lee work experience
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Graduate Research Assistant
Current- Elevated a voice deepfake detection pipeline by upgrading nueral network architectures (AASIST) and integrating 20K+ diverse datasets (synthesized, cloned, recorded), enhancing model generalization and cross-domain.
- Designed and deployed a scalable dataset splitting logic with seamless integration of SAMO-specific loss functions, preserving data integrity across the entire modeling pipeline.
- Engineered a robust augmentation pipeline using RawBoost to address extreme class imbalance and incorporated error analysis workflows to refine model accuracy, achieving a current EER reduction to 0.05 during.
Data Science Project Lead
- Emergency Response & Resource Optimization for City of Rochester Fire Department
- Led the student team to analyze 1.6M+ incident records using time-series models (Prophet, SARIMAX) and geospatial tools (Folium, GeoPandas), forecasting incidents and optimizing resources for 500 personnel managing 50K.
- Delivered predictive models with (85% R² accuracy), evaluated fire stations placemebts, and recommended reallocation strategies for 19 vehicles, through comprehensive reports and html interactive maps.
- Secured recognition with media features on the University of Rochester News Center.
Data Scientist
- Synthesized a 14K audio dataset by integrating and fine-tuning 18 generative AI and neural network models (Text-to-Speech, voice cloning), enabling the development of a robust deepfake detection model with enhanced.
- Developed and executed a data collection strategy with 28 key parameters, optimizing parameter distributions to collect 400K metadata values, reducing dataset bias, and enhancing generalization.As a Data Scientist.
Co-Founder & Data Analyst
- As a Data Scientist:
- Conducted and automated NLP analysis of 50K+ messages from Korea's #1 user-ranked chat community in the category.
- Increased purchases by 25% and eliminated manual analysis of 300K+ messages annually, saving $6,500 per year.
- Built ETL pipelines and engineered features for a recommendation system, decreasing dropout rates by 10%.As a co-founder:
- Spearheaded end-to-end startup operations, from ideation to investor engagement, directly contributing to a strategy towards an educational platform for art students, resulting in a user base expansion across South.
- Successfully raised $3M in seed funding by leveraging data-driven storytelling and impactful visualizations in pitch decks.
Data Analyst
- E-commerce retailer of Korean food for U.S. market (#1 in category on Amazon US)
- Analyzed 7,800+ product reviews using NLP to uncover customer behavior patterns, boosting repeat purchases by 13% and driving the launch of two new products targeting loyal customers.
- Optimized Amazon ad campaigns for a $4M annual sales product line by refining keywords and budgets, increasing RoAS by 17%, resulting in an additional $680K in annual revenue.
- Improved project outcomes through ongoing 1:1 mentorship by Nvidia Korea's ex-CEO.
Brynn Lee education
Master Of Science - Ms, Data Science
Bachelor Of Science - Bs, Physics
International Business
Education record
Frequently asked questions about Brynn Lee
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What company does Brynn Lee work for?
Brynn Lee works for IngenID.
What is Brynn Lee's role at IngenID?
Brynn Lee is listed as Data Scientist at IngenID.
Where is Brynn Lee based?
Brynn Lee is based in Los Angeles, California, United States while working with IngenID.
What companies has Brynn Lee worked for?
Brynn Lee has worked for Ingenid, University Of Rochester, City Of Rochester, Artclub, and Living Jin.
How can I contact Brynn Lee?
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What schools did Brynn Lee attend?
Brynn Lee holds Master Of Science - Ms, Data Science from University Of Rochester.
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