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Achievement: Pull Sharkx2

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ovesa/README.md

Postdoc @ Stanford (Hansen Experimental Physics Lab). I build signal processing and statistical pipelines for weak signal detection in noisy, high-dimensional data, currently applied to the solar interior and atmosphere via helioseismology. Python, spectral analysis, FFTs, time series, uncertainty quantification, observational and numerical modeling. PhD in Astronomy (NMSU).

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  1. banking-intent-classifierbanking-intent-classifierPublic

    End-to-end NLP project classifying customer banking queries into 77 intent categories using TF-IDF + MLP and LoRA-finetuned RoBERTa, with a PII redaction pipeline.

    Jupyter Notebook

  2. Eclipse-AGW-AnalysisEclipse-AGW-AnalysisPublic

    End-to-end pipeline for detecting atmospheric gravity waves in radiosonde data using wavelet analysis and Stokes parameters. Used in two peer-reviewed publications.

    Python

  3. research-apiresearch-apiPublic

    REST API and research assistant for heliophysics literature; built with FastAPI, PostgreSQL, Redis, and Claude

    Python 1

  4. ovesa.github.ioovesa.github.ioPublic

    Website

    HTML

  5. NBA_Historical_Analysis_SQLNBA_Historical_Analysis_SQLPublic

    Interactive NBA analytics dashboard built with Plotly Dash, PostgreSQL (Supabase), and SQL: covering 22,000+ player-seasons from 1947 to present.

    Python