Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Additional Information
Timeline
Generic
Tanya G. Roosta

Tanya G. Roosta

Saratoga,CA

Summary

US Citizen SUMMARY Highly motivated, self-starter individual with more than 12 years of work experience in data science and analysis and machine learning in high tech and quantitative finance industries. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.

Overview

17
17
years of professional experience
1
1
Certification

Work History

Amazon

  • Led Cross-Functional Collaboration:

    Collaborated with a diverse team of scientists, machine learning engineers, software engineers, and product managers.
    Facilitated seamless communication, resulting in 20% reduction in project development timelines.
    AI Foundation Model Development:

    Successfully built and deployed AI foundation models from design through training to implementation.
    Improved model efficiency, leading to a 15% increase in processing speed and 10% reduction in computational costs.
    High-Impact Applied Research:

    Conducted cutting-edge applied research, incorporating the latest AI developments into customer experiences.
    Implemented innovative AI features that contributed to 30% increase in customer engagement.
    Technology Stack Utilization:

    Leveraged diverse technology stack including Pytorch, AWS, HuggingFace, Lightning, and VectorDBs.
    Optimized model performance, resulting in 25% improvement in accuracy and 20% reduction in resource utilization.
    Insight Extraction from Data:

    Utilized advanced technologies to extract meaningful insights from vast volumes of numeric and textual data.
    Implemented data-driven strategies that led to a 25% improvement in decision-making processes.
    Interpersonal Communication:

    Effectively translated complex technical concepts into tangible business goals.
    Enhanced team collaboration by bridging the gap between technical and business perspectives, resulting in 15% increase in project alignment with organizational objectives.

Senior Research Science Manager/Tech Lead

AGI
11.2021 - Current
  • Amazon
  • Leading a team of scientists and software engineers working on scalable generative AI techniques to increase customer interaction with their Alexa devices through improving their conversational experiences
  • In this role, I devise strategic roadmap for product release, work with various teams to scope requirements, do research and build the prototype technical solution, and oversee the end-to-end implementation in production
  • Working on providing proactive experiences to the customers, using personalization with generative AI techniques.

Senior Research Scientist

Alexa Devices
06.2019 - 10.2021

Lecturer

University of California
07.2022 - Current
  • Innovative Instructional Methods:
    Employed innovative instructional methods to demystify complex statistical and machine learning concepts, fostering a dynamic and engaging learning environment.

    Student-Centric Approach:
    Adopted a student-centric approach, tailoring curriculum delivery to diverse learning styles, resulting in a significant improvement in student comprehension and retention rates.

    Real-World Application Emphasis:
    Integrated real-world applications into the curriculum, enabling students to apply statistical and machine learning principles to practical scenarios, bridging the gap between theory and industry relevance.

Lead Machine Learning Scientist

SumUp
03.2018 - 05.2019
  • As a key contributor at Analytics, a dynamic Fintech startup, I led impactful research initiatives while simultaneously showcasing my leadership prowess. My role encompassed not only the development of robust code and REST APIs, hosted on AWS API Gateway, but also delved into the realms of cutting-edge research in topic modeling, text summarization, document recommendation, sentiment analysis, and streaming text analytics.

    In addition to hands-on technical contributions, I took charge of managing a team of skilled scientists and engineers across the entire technical stack. My leadership ensured seamless collaboration and synchronization, resulting in scalable and reliable feature development that aligned with our organizational objectives.

    Furthermore, I actively engaged with prospective clients, demonstrating my ability to understand their unique needs. I played a pivotal role in developing proof-of-concept solutions tailored to address specific client requirements, showcasing both my technical acumen and strategic thinking in transforming research outcomes into practical solutions that meet client expectations.

Director of Data Science and Machine Learning Lead

Moody’s Analytics
05.2014 - 03.2018
  • As a versatile leader, I spearheaded diverse engagements within the banking and financial sector, assuming dual roles as the quantitative model lead and team manager. I successfully navigated a spectrum of projects, overseeing the development and implementation of quantitative risk measurement products and services.

    In my capacity as a team manager, I fostered a collaborative environment, steering a team of professionals toward shared objectives. My leadership extended to projects encompassing intricate domains such as credit risk modeling for commercial wholesale portfolios, commercial real estate, residential mortgages, and counterparty credit risk.

    In the execution of these projects, I demonstrated a unique ability to communicate complex quantitative concepts to stakeholders, ensuring a comprehensive understanding across all levels. My interpersonal communication skills played a pivotal role in bridging the gap between technical intricacies and strategic objectives, contributing to the success of engagements and strengthening relationships with clients and stakeholders.

Senior Quantitative Risk Analyst

Federal Reserve Bank of
06.2012 - 04.2014
  • In my capacity as the lead quantitative analyst overseeing supervisory exams, I played a central role in the examination processes of major bank holding companies regulated by the Federal Reserve Bank of San Francisco, including industry leaders such as Wells Fargo, Union Bank of California, and Zions Bank. Additionally, I actively contributed to critical system-wide initiatives at the Federal Reserve, including the Comprehensive Capital Analysis and Review (CCAR) and BASEL II quantification exams, showcasing my expertise in regulatory compliance and risk assessment.

    My analytical skills were prominently featured in my responsibilities, which extended to conducting empirical research in pivotal areas such as credit risk modeling, systematic risk indicators utilizing Credit Default Swap (CDS) spreads, and Commercial Real Estate (CRE) modeling and analysis. Employing a comprehensive research methodology, I meticulously gathered data from diverse sources, including Bloomberg, RCA, FRED, FR Y-9C, and 14A bank schedules. My proficiency in data cleaning processes and the application of sophisticated time series models allowed me to extract actionable insights from complex datasets.

    In essence, my role not only involved leadership in supervisory exams for major financial institutions but also active participation in crucial Federal Reserve projects. Through the execution of rigorous empirical research methodologies, I demonstrated a keen ability to analyze data intricacies, enhance credit risk assessment, and contribute substantively to the effectiveness of regulatory frameworks.

Senior Quantitative Researcher, Portfolio

Allianz Global Investor Capitals
10.2010 - 05.2012
  • Entrusted with spearheading the development of a statistical risk model for emerging markets, I showcased my strong quantitative and analytical skills by employing advanced techniques such as principal component analysis (PCA). This endeavor involved a meticulous approach to data analysis, enabling the creation of a robust model to assess and manage risks associated with emerging market dynamics.

    Demonstrating my analytical prowess, I further crafted a strategy centered around the minimum variance portfolio. Rigorous testing of this strategy culminated in the establishment of the AllianzGI U.S Managed Volatility Fund (NGWAX). My quantitative skills played a pivotal role in designing and implementing this strategy, contributing to the fund's inception and success in navigating market volatility effectively.

    In summary, my involvement in developing a sophisticated risk model and formulating a successful investment strategy underscored my quantitative acumen and analytical capabilities, substantiating my proficiency in handling complex financial analyses and strategic decision-making.

Software Engineer

Cisco Systems
08.2008 - 02.2010
  • Utilizing my coding expertise, I spearheaded the development of software in C language, specifically for the Group Encrypted Transport Virtual Private Network (GETVPN) solution. This project showcased my proficiency in programming and my ability to navigate intricate coding tasks within a robust technology stack.

    In addition, I actively collaborated on crafting the functional specification document for the SmartGrid project. This endeavor required not only a deep understanding of project requirements but also the application of my technical skills to articulate complex functionalities. These experiences underscore my capability to leverage diverse technology stacks and contribute effectively to multifaceted software development initiatives.

Software Engineer (Graduate Intern)

SRI International
06.2007 - 09.2007
  • Developed software in C language for the Group Encrypted Transport Virtual Private Network (GETVPN) solution Collaborated on writing the functional specification document developed for the SmartGrid project

Education

Ph.D. I - Electrical Engineering and Computer

University of California
Berkeley, CA

Masters - Statistics

Masters - Electrical Engineering and Computer Science

Masters - Financial Engineering

Haas School of Business

Bachelors - Electrical Engineering and Computer Science

2008

Skills

  • COMPUTER SKILLS
  • Proficient in:
  • Python, Java, C, C, R, Matlab
  • Familiar with: SAS
  • SQL, Tableu
  • PATENTS
  • Written Communication
  • Conflict Resolution
  • Team Building
  • Problem-Solving
  • Project Planning
  • Organization
  • Self-Directed

Accomplishments

  • What is Lost in Knowledge Distillation
  • NeurIPS 2023 (ENSLP)
  • Once-for-All Federated Learning: Learning from and Deploying to Heterogeneous Clients
  • FL4Data-Mining 2023
  • Quantifying Catastrophic Forgetting in Continual Federated Learning
  • ICASSP 2023
  • Feb 24
  • Learning from Federated Learning in Real World
  • ICASSP 2022
  • Training Mixed-Domain Translation Models via Federated Learning
  • NAACL 2022
  • PerFedSI: A Framework for Personalized Federated Learning with Side Information
  • FL NeurIPS
  • Communication-Efficient Federated Learning for Neural Machine Translation
  • NeurIPS 2021 (ENSLP)
  • Convergence Analysis of Reweighted Sum-Product Algorithms
  • International Conference on
  • Acoustic, Speech, and Signal Processing 2007
  • For more of the older publication list, please see: http://www.frbsf.org/economic- research/economists/tanya-roosta/

Certification

Dynamic Group Creation for Managed Key Servers. Granted: 6/2014 Sender-specific Counter-Based Anti-Replay for Multicast Traffic. Granted: 6/2011 Protection of Control Plane Traffic against Replayed and Delayed Packet Attack. Granted: 2/2014 Updating Machine Learning Models Across Devices. Filed, Number P75341-US01 Updating Machine Learning Models. Filed, Number P75359-US01

Additional Information

  • AWARDS AND HONORS , Best student paper award, the International Conference on Acoustic, Speech and Signal Processing, 2007 National Science Foundation Graduate Student Research Fellowship, 2001-2004 UC Berkeley Dean’s Honor list, 2000

Timeline

Lecturer

University of California
07.2022 - Current

Senior Research Science Manager/Tech Lead

AGI
11.2021 - Current

Senior Research Scientist

Alexa Devices
06.2019 - 10.2021

Lead Machine Learning Scientist

SumUp
03.2018 - 05.2019

Director of Data Science and Machine Learning Lead

Moody’s Analytics
05.2014 - 03.2018

Senior Quantitative Risk Analyst

Federal Reserve Bank of
06.2012 - 04.2014

Senior Quantitative Researcher, Portfolio

Allianz Global Investor Capitals
10.2010 - 05.2012

Software Engineer

Cisco Systems
08.2008 - 02.2010

Software Engineer (Graduate Intern)

SRI International
06.2007 - 09.2007

Amazon

Ph.D. I - Electrical Engineering and Computer

University of California

Masters - Statistics

Masters - Electrical Engineering and Computer Science

Masters - Financial Engineering

Haas School of Business

Bachelors - Electrical Engineering and Computer Science

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Tanya G. Roosta