James Maniscalco

Data Scientist & Analytics Engineer
Passionate about turning complex data into actionable insights and AI‑powered solutions.

Playground: MNIST Grid

Try the 28×28 drawing grid to classify digits. Open playground

Project Highlights

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Tech Stack

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Case Study

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Speaking & Writing

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Contact & Availability

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Professional Summary

Experienced Data Scientist with a Master’s in Data Science and a strong foundation in ML, RAG, and agentic architectures.
Skilled in designing end‑to‑end data pipelines, building predictive models, and delivering client‑facing GenAI proofs‑of‑concept.
Proven ability to collaborate with cross‑functional teams, translate business requirements into technical solutions, and communicate insights effectively.

Education

University of Connecticut, Storrs, CT
M.Eng. in Data Science, May 2023
B.S. in Computer Science (Computational Data Analytics), May 2022

Core Competencies

Technical Skills

Python, SQL, Excel, scikit‑learn, PyTorch, TensorFlow, Power BI, VBA, LangChain, Flask, Chroma, FAISS

Frameworks & Methodologies

ETL, Machine Learning, RAG Architectures, Agentic Frameworks, Data Analysis, Data Visualization, Agile

Professional Experience

Data Scientist, IBM

Jun 2023 – Present

Built scalable data pipelines, KPIs, and daily reporting dashboards to enable data‑driven decision‑making (Python, SQL, Excel, VBA, Dataiku).
Developed client‑facing POCs leveraging GenAI, agentic frameworks, and Retrieval‑Augmented Generation architectures (Flask, LangChain, Chroma, Streamlit).

Data Analytics Intern, Stanley Black & Decker

Jun 2022 – Aug 2022

Engineered predictive models for market demand forecasting and unit fill‑rate optimization using Python.
Designed and deployed interactive Power BI dashboards to showcase model performance and business impact.

Senior Design Student, WHELEN Engineering

Sep 2021 – May 2022

Collaborated on a real‑time vehicle signal monitoring system for the Whelen Cloud Platform (Git, JavaScript, HTML/CSS, AWS Lambda).

Certifications

IBM AI Associate Data Scientist
Machine Learning with Python (Level 1)
Perform Predictive Data Analysis in BigQuery — Skill Badge
IBM Agile Explorer

Publications

“Predicting Urban Traffic Flow Utilizing Spatio‑Temporal Data and a Novel Graph Convolutional Network Architecture”
Tabatabaie, M., Maniscalco, J., Lynch, C., & He, S. (2022). Towards Spatio‑Temporal Cross‑Platform Graph Embedding Fusion for Urban Traffic Flow Prediction. arXiv. https://doi.org/10.48550/arXiv.2208.06947

Extracurricular & Athletics

UConn Men’s Track & Field / Cross Country

School record holder, Indoor 5000m
2020 Outdoor Track & Field Big East Champion