Lauri Soome

Data & Engineering

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About Me

My greatest strength is the ability to listen to what the stakeholders really need, then translating that to a data problem - and then delivering a solution. It's all about connecting the dots between business goals and data insights.

Recently Completed Courses:

Web Systems Programming (CSE 264)
Lehigh University

Currently Learning:

Agentic AI
HuggingFace

Full Stack Web Development
University of Helsinki

Contact Information

  • Location: United States

    LinkedIn: https://www.linkedin.com/in/lauri-soome/

    GitHub: https://github.com/soomelauri

Skills & Expertise

Data Science

I have working experience of doing data analysis, building featuresets, and developing machine learning models.

Data Engineering

I'm proficient in SQL, and familiar with NoSQL (MongoDB) for data storage and manipulation. I'm currently familiarizing myself with Vector databases (Chroma).

BI & Other Tools

Dashboarding: Power BI, Tableau, Streamlit

Diagrams/Presentations: MermaidJS, PowerPoint

Other Tools: Power Query, Excel

Web Development

Full Stack: Django

Backend: FastAPI, Node/Express

Frontend: React

Work Experience

CycleOne Financial

  • Data Scientist
    2025 February – Current
  • Data Scientist
    2024 June – 2024 August
  • Data Scientist Intern
    2023 July – 2024 May

Office of Institutional Data - Lehigh University

  • Special Projects Assistant (Contract)
    2024 August – 2024 December

Happy PC

  • Data Analyst
    2022 January – 2023 June
  • Junior BI Analyst
    2020 July – 2022 January

Data Philly

  • Volunteer Organizer
    2025 February – Current

Education

M.S., Data Science

Lehigh University

3.91 GPA

Lehigh Engineering Graduate Ambassador

  • CSE 498: Deep Learning
  • CSE 498: Computer Vision
  • CSE 447: Data Mining
  • DSCI 451: Ethics in Data Science
  • DSCI 441: Statistical & Machine Learning
  • DSCI 431: Introduction to Statistical Modeling
  • DSCI 411: Data Management for Big Data
  • DSCI 321: Algorithms and Software Foundations
  • DSCI 311: Optimization and Mathematics for Data Science
  • DSCI 310: Introduction to Data Science
  • BSTA 404: Data Architecture, Mining & Linkage

B.S., Chemistry

Newman University

Capstone project: Analysis of CBD oils using Liquid Chromatography-Mass Spectrometry (LC-MS).

Scholarship Athlete, NCAA Men's Tennis.

Projects

AI Loan Predictor

Machine Learning Project
PythonScikit-learnFastAPI

Loan Prediction using Machine learning (Logistic Regression)

  • Interactive Demo
  • Model Accuracy 91.14%
  • Trained on a 58,000+ application dataset

View the project here.

Time Series Forecasting

Analytics Project
ExcelTime Series

12-month forecast, created using the Excel Exponential Triple Smoothing (ETS) function on 36 months of historical data.

  • Visualization
  • Methodology
  • Business Applications

View the project here.

Sales Performance Dashboard

Analytics Project
Power BIDAXData VisualizationBusiness Intelligence

Interactive Power BI dashboard analyzing multi-year sales performance with comprehensive profit analysis across product categories, territories, and time periods.

Key Features

  • Multi-dimensional Analysis: Product categories, territories, stores, and time-based views
  • Advanced DAX Calculations: Custom profit calculations and performance metrics
  • Interactive Visualizations: Drill-down capabilities
  • Store Performance Tracking: Manager-specific performance with satisfaction metrics
  • Quarterly & Annual Trends: Time-series analysis

View the project here.

Additional Info