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Conducting research on SVI correlations with School Climate.
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Conducting research on SVI correlations with School Climate.
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dylanpicart/README.md

  • 👋🏾 Hi, I’m Dylan Picart, and I'm a Data & Analytics Engineer at Partnership With Children

  • 🎓 I studied Physics & Philosophy at Adelphi University, with specializations in Engineering, Metaphysics, and Artificial Intelligence

    • Previously, I was a Computational Neuroscience & Deep Learning Researcher at Neuromatch

  • 💻 I'm skilled in:

    • Programming Languages: Python, SQL, Bash, C, JavaScript, MATLAB, Visual Basic, YAML, Jinja2
    • Data Analysis & Visualization: NumPy, Pandas, Matplotlib, Seaborn, Plotly, ArcGIS, Power BI
    • Data Engineering & Pipelines: PySpark, Databricks, Delta Lake, dbt, Kafka, Snowflake, PostgreSQL, MongoDB, Hadoop, Apache Airflow, FastAPI microservices, Data Modeling (Bronze → Silver → Gold), Semantic Layer Design
    • Machine Learning & AI: scikit-learn, PyTorch, TensorFlow, Keras, LangChain, OpenAI API (LLMs & embeddings), Vector Databases (Chroma), Prompt Engineering, Retrieval-Augmented Generation (RAG)
    • Cloud, DevOps & Platforms: GCP (GCS, Dataproc, IAM), AWS (S3, EMR, Redshift, Lambda, boto3), Azure, Docker, Terraform (IaC), Git, GitHub Actions (CI/CD), REST APIs, React/TypeScript (Vite), Full-stack Integration (API + Vector DB + LLM + UI), Salesforce, SharePoint, Apricot, LaTeX

  • 👀 I’m interested in:

    • Computational modeling, data-intensive systems, and community-centered AI/ethical technology
    • Health, sociology, and environmental science
    • Finance, astronomy, and quantum theory

  • 🌱 I’m currently learning:

    • Physics-informed neural networks (PINNs), agentic RAG patterns and evaluation, and advanced GraphQL API integrations
    • Data orchestration & workflow automation with Dagster, advanced dbt modeling/testing, cloud IaC with Terraform, and Snowflake performance optimization
    • Platform engineering with Kubernetes to orchestrate containerized data and AI services

  • 💞️ I’m looking to collaborate on projects surrounding environmental science/engineering, physics, education, and social-impact data systems.

  • 📫 You can reach me via email.

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  1. rt-sch-cli-equity-pipeline rt-sch-cli-equity-pipeline Public

    Cloud-native ELT system with Kafka streaming, Databricks transformations, dbt semantic modeling in Snowflake, Terraform IaC, GitHub CI/CD, and a FastAPI+LangChain RAG service. Production Medallion …

    Python

  2. excel_sharepoint_etl excel_sharepoint_etl Public

    A Multilanguage Lightweight ETL Pipeline that extracts, transforms, and loads PDF files into Excel and SharePoint.

    JavaScript 1

  3. regression_nyc_cov_conc regression_nyc_cov_conc Public

    API Building, use of SQLite, data visualization, and linear predictions on concentrations of SARS-CoV-2 in wastewater.

    Jupyter Notebook

  4. google_sheet_survey_pipeline google_sheet_survey_pipeline Public

    Lightweight Python ETL using Google Cloud Platform to Extract, Transform, and Load Google Surveys for Exploratory Data Analysis on Streamlit Dashboard and for Excel viewing with modern DevSecOps pr…

    Python 1

  5. excel_api_access excel_api_access Public

    Multithreaded web scraping and API access using httpx, Selenium, Asyncio, and Concurrent.futures. Automates downloading and storing Excel datasets from publicly available NYC data sources. Features…

    Python

  6. student_adaptability_level_classifier student_adaptability_level_classifier Public

    An analysis, prediction, and evaluation of the Supervised Machine Learning models used to classify students' ability to adapt to online education.

    Jupyter Notebook