Rutvik Joshi | Data Science Portfolio

Data Scientist at Guggenheim Investments building ML/NLP pipelines and full-stack analytics applications for structured credit and fixed income markets. I work across the full data lifecycle — from raw document extraction and entity resolution to interactive dashboards that surface actionable insights for portfolio managers and traders.

Areas of Expertise

NLP & Large Language Models — Entity resolution at scale using fuzzy matching and LLM disambiguation, knowledge graph construction from unstructured financial news, and document intelligence pipelines.

Distributed Computing & Data Engineering — PySpark pipelines for portfolio analytics, multi-format data extraction (Excel, PDF, CSV, email) with lossless verification, and automated batch processing for high-volume financial datasets.

Full-Stack Applications — React 18 + TypeScript dashboards with 19+ analytical views, deal management platforms, and market data hubs that centralize multi-dealer feeds.

Financial Analytics — Statistical outlier detection (Z-score), portfolio concentration metrics (HHI), month-over-month/quarter-over-quarter delta analysis, and GAAP vs. market value comparison for structured credit products.

Technical Skills

Domain	Technologies
ML & NLP	Python, PySpark, scikit-learn, PyTorch, TensorFlow, Hugging Face, GPT-4, Llama-2, FuzzyWuzzy
Data Engineering	PySpark, pandas, openpyxl, xlrd, extract_msg, gzip, Decimal
Frontend	React 18, TypeScript, Tailwind CSS, Material-UI, Recharts, MUI X-Charts
Visualization	Plotly, Matplotlib, Seaborn, NetworkX
Infrastructure	Git, Docker, Linux, MySQL, MongoDB, AWS