Hire the best Quantitative Analysts in San Diego, CA

Check out Quantitative Analysts in San Diego, CA with the skills you need for your next job.
Clients rate Quantitative Analysts
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based on 131 client reviews
  • $85 hourly
    25+ years in Software Development Available for 40-60 hrs./wk. Excellent references from CEOs of the companies. Bringing products to market: inception, spec, architecture, implementation, testing. Seeking for software development projects in the following areas on Windows Platforms: - Recent successful GPT-3/3.5/4 API experience with C#, DALL-E interface, and OpenAI Whisper. - Experience of developing RAG Web Service enabling chatting with private corpus of documents, based on Azure Cognitive Search SDK, Azure OpenAI API and Azure Cosmos Vector DB for vector, hybrid, and semantic search. Segmenting Word/PDF/Excel/CSV/Text documents, embeddings, and ingestion. - Worked with ML.NET in VSTO Outlook Add-In environment for email classification. - Experience with Text-To-Speech and Speech-To-Text using AWS, Azure, Google, Eleven Labs, and other vendors. Experience with Google Voice Services, including Diarization (recognition of different speakers and designation in the transcript), and Medical Transcription. Able to produce STS (Speech-to-Speech) application - interacting with ChatGPT over microphone and speakers. Recent Development Experience of TTS with OpenAI. - AI Training of basic GPT models using fine-tuning, and embedding techniques with vector databases, such as Pinecone, Qdrant, and Milvus APIs. - OpenAI Completion and Embeddings API, GPT-3/3.5/4, Whisper API for Transcribing and Translation - Azure Semantic Kernel, Azure Data Explorer (ADX), Azure Blob Storage, Azure Analytical Services. - AWS Text-To-Speech, AWS Storage - Web Services: REST-API, ASP.NET Framework and Core, WCF Web Services, Microservices - Azure Active Directory Authentication from Desktop Applications in C# - Desktop applications with C#/.NET Framework/.NET Core, WinForms, WPF, DevExpress - Microsoft Office VSTO/COM Add-Ins for Outlook, Excel, Word, and PowerPoint - Client/Server Systems: Sockets and high-level protocols, such as HTTP, FTP, MQTT - Windows Services - Microsoft Dynamics 365 - Hardware Interface: USB/RS232/RS485 Technologies and Frameworks: - Languages: C#, C/C++, Python, MicroPython, XML, JSON - Databases: SQL, SQLite, MySQL, Entity Framework 6/Core and LINQ. - Networking: Sockets (.NET and Winsock), REST API, WCF, HTTP, FTP, MQTT, packet-level TCP/IP, - Serial (RS232/RS485), MODBUS. - IDE: Visual Studio 2010 through 2022 - Office Add-Ins: VSTO Add-ins for Outlook, Excel, Word, PowerPoint. Add-In Express Framework. - VOIP: PJ SIP Stack with DBUS, Asterisk, Open Phone Abstract Library (OPAL) - Active Directory/LDAP/ADSI - Monte Carlo Simulations in C# - Linux: C/C++ and Python with MQTT Development on Ubuntu and Raspbian. - AES256 Encryption, Monte-Carlo Simulations, SHA256, PGP/GnuPG PKI (Public Key Infrastructure) Application binaries signing (Authenticode), Security Certificate generation in code based on CA. - Installers with Advanced Installer, Deployment strategies. - Product Licensing
    vsuc_fltilesrefresh_TrophyIcon Quantitative Analysis
    Plugin Development
    Microsoft Excel
    Microsoft Outlook
    Web Service
    Microsoft Visual Studio
    Windows Forms
  • $67 hourly
    I am an expert data scientist with a four years of experience conducting statistical analyses. My focus is on Bayesian modeling, which is allows for a flexible and powerful approach to obtaining data-driven insights. The Bayesian framework is superior to traditional machine learning or statistical methods because it is able to incorporate all relevant domain information---as well as providing easily-interpretable uncertainty quantification for decision making. I can build a model specifically tailored for your use-case which will always out-perform traditional off-the-shelf ML models. Statistics/Machine Learning Skills - Linear Regression - A/B Testing - GLMs - Gaussian Processes - Hypothesis Testing - Power Analysis - Latent Variable Models R Coding Skills - Software package development - Data visualization in ggplot - Webscraping - R Shiny app development - Data wrangling/cleaning - Merging data Education - PhD in Political Science with a Specialization in Computational Social Science (in progress)
    vsuc_fltilesrefresh_TrophyIcon Quantitative Analysis
    R Shiny
    Bayesian Analysis
    Causal Inference
    A/B Testing
    Statistical Infographic
    Statistical Analysis
    Data Visualization
    Data Science
    Bayesian Statistics
    Machine Learning
  • $95 hourly
    My scientific research background, attention to detail, and 13 years of experience translates into a unique ability to present complex ideas to diverse audiences, guaranteed to meet the professional standards of your institution or business. I am a professional researcher and writer with a master’s in neuropsychology, and many Ph.D classes under by belt. After I received rewards for my academic presentations and writing, and authored highly impactful neuroscience/behavioral research papers in top journals (cited over 150 times), my colleagues began to ask me to edit their manuscripts. As I was recognized as being an enterprising scholar, I was flown out to meet Dr. Neil Degrasse Tyson on two occasions (ABRCMS 2010 and SROP 2010). Since then, my writing and research projects have expanded. I have worked with diversified academic, pharmaceutical, legal, and business professionals. During my employment at The Reilly Group (non-profit think tank owned by the Chancellor of Nevada), I worked with world-renowned academics from The London School of Economics, Harvard University, and The Central Bank of Malta. As an organizational consultant, I have worked on publicly funded projects that inform policy in areas such as education and pension reform. On the Upwork platform, I have worked with professionals from The Institute for the Future, TedX, and Microsoft (see talent cloud). Tasks: -Originate and design complex research studies -Find academic articles via my access to research databases -Write and synthesize literature reviews within short deadlines -Ensure your content is differentiated, impactful, compelling, and unique compared to similar publications -Create and synthesize literature review matrices/ annotated bibliographies/ article summaries -Accelerate your study design and methodology- quantitative or qualitative -Pinpoint validated instruments for data collection -Produce and substantiate methods section -Interpret intricate statistical outputs - Run statistical analyses (hierarchical multiple regression, linear regression, factor analysis, ANOVA, descriptive and normality tests, correlations, demographics, power analysis, frequency analysis) -Create tables and charts according to format style -Analyze, code, and interpret thematic qualitative data -Triangulate quantitative and qualitative findings -Ensure research articles are aligned with journal specifications -Designate journals with suitable Impact Factors for your particular article - Revise your drafts based on comments -Ensure orientation to formats such as APA 7, Harvard, Chicago, Turabian, and Legal styles -Write IRB materials according to institution parameters -Develop powerpoint slides (with oral remarks for each slide) and poster presentations -Create psychometric questionnaires/surveys on Qualtrics and Survey Monkey
    vsuc_fltilesrefresh_TrophyIcon Quantitative Analysis
    APA Formatting
    Research Papers
    Internet Survey
    Scientific Literature Review
    Academic Writing
    Scientific Writing
  • $40 hourly
    I'm a experience Mixed Methods UX Researcher with a deep love for user interviews and usability testing. I have a grasp on a wide range of the UX methodologies and tools and am looking to best apply them for you and your users needs. Qualitative Research: ● Methodologies: Generative Research, User Interviews, Usability and A/B testing (moderated and unmoderated), Open/Closed card sorting, Tree testing, Diary Studies, Concept testing, Surveying. ● Tools: Usertesting.com/UserZoom, Optimal Workshop, dScout, Zoom, Figma. Quantitative Research: ● Methodologies: Experimental Research, Statistical Analysis, Multivariate Statistics, Multilevel Modeling, Survey design, Card Sorting, Tree Testing, Data Visualization. ● Tools: R, Python, SPSS, Optimal Workshop, Excel.
    vsuc_fltilesrefresh_TrophyIcon Quantitative Analysis
    App Usability Analysis
    Tree Testing
    Card Sorting
    Qualitative Research
    Scientific Research
    User Experience
    Usability Testing
    Design & Usability Research
    UX & UI
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