Sai Kalyan Yalla
Analytics Engineer and Data Operations, Boston MA
I work at the intersection of data operations and analytics. I build reliable pipelines and semantic layers across Quickbase, Power BI, and Python, then turn them into clear dashboards and decision tools. I also explore ML projects and deploy small apps.
Current focus, Analytics Engineering Power BI SQL Python dbt
About
I lead data work across Quickbase tables, Power BI datasets, and survey tools like Qualtrics. My recent work includes a Family Partnership Program time series dashboard, volunteer capacity modeling, and staff roster integrations. I enjoy building small, testable models that let program teams answer questions in minutes.
Past, BYJU'S team leadership in sales analytics. Education, MSBA at Suffolk University and Engineering at IIPE.
Selected Projects
Real-time book recommendations powered by Google Books API and advanced AI algorithms.
Docker stack with Airbyte, Postgres, Prefect, and Superset. ETL from CSV and APIs into a star schema.
Streamlit app using spaCy and GPT to parse resumes, score against JDs, and show gaps with charts.
Prophet plus gradient boosting, weekly forecasts and scenario toggles for supply shocks, quick Streamlit UI.
Lightweight overlay for study and analysis, experiments with engine hints and PGN parsing.
TensorFlow based classifier with CLI, data cleaning, and evaluation notebook.
Research and Writing
- Bias in AI Models for Public Health Interventions, A Systematic Review · in progress, 2025. Draft outline, PRISMA diagram, and literature tracker.
- Notes on AI for nonprofits, Practical adoption patterns and data governance, 2025.
News
- Aug 2025 · Launched this site, added AE showcase repo and dbt models.
- Jul 2025 · Published FPP Time Series v2 and Volunteer Capacity v2 dashboards.
- Jun 2025 · Completed Quickbase Pipelines Builder exam prep and practice labs.
Contact
Email, yalla.saikalyan@gmail.com · GitHub, kalyan1210 · LinkedIn, /in/saikalyanyalla · CV, PDF