Ville Nevasuo, Developer in Helsinki, Finland
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Ville Nevasuo

Verified Expert  in Engineering

Bio

Ville is a data strategist with experience in banking, consulting, and real estate. He transforms complex data into actionable business insights. Known for his collaborative, people-oriented approach, Ville bridges the gap between data and decision-making. Ville has led initiatives to optimize consulting workflows, enhance customer engagement strategies, and develop scalable analytics solutions using Python and SQL to improve efficiency and drive strategic growth.

Portfolio

OP Financial Group
Python, SQL, Data Pipelines, Microsoft Power BI, Databases, Microsoft Azure...
Cybersecurity Company
ELK (Elastic Stack), Sentinel, Role-based Access Control (RBAC), Cloud Security...
Tietoevry
Process Flows, Application Management Services (AMS), IT Consulting, Python...

Experience

  • Python - 5 years
  • SQL - 5 years
  • Market Research & Analysis - 5 years
  • Business Strategy - 5 years
  • Financial Analysis - 5 years
  • Digital Transformation - 5 years
  • Digital Innovation - 5 years
  • Microsoft Power BI - 4 years

Availability

Full-time

Preferred Environment

Windows, Linux, Visual Studio Code (VS Code), Python, SQL, Azure, Microsoft Power BI, Git, Databricks, Microsoft Fabric

The most amazing...

...data solution I've developed for Jones Lang LaSalle automated analysis for around 100,000 companies, powering both end-user tools and investor reports.

Work Experience

Data Analyst

2023 - PRESENT
OP Financial Group
  • Engineered scalable data pipelines with SQL, Python, and API integrations, automating data processing and enhancing decision-making.
  • Developed Microsoft Power BI dashboards, leveraging real-time data and providing actionable insights that improved strategic planning.
  • Forecasted stockholder inactivity using XGBoost machine learning models, improving targeted engagement by 25%.
  • Optimized reporting workflows, streamlining financial data analysis and reducing manual processing time by 30%.
  • Built a machine learning-based churn prediction model, projected to reduce customer attrition significantly.
Technologies: Python, SQL, Data Pipelines, Microsoft Power BI, Databases, Microsoft Azure, Git, Data Governance, Databricks, XGBoost, Machine Learning

Cybersecurity Specialist

2024 - 2024
Cybersecurity Company
  • Worked in a high-security environment, focusing on cloud security, threat detection, and risk management.
  • Automated log analysis for enterprise environments and developed security monitoring solutions using security information and event management (SIEM) tools.
  • Contributed to cybersecurity operations and governance, ensuring compliance with strict regulatory standards.
Technologies: Sentinel, ELK (Elastic Stack), Role-based Access Control (RBAC), Cloud Security, Data Governance, General Data Protection Regulation (GDPR), Azure, Threat Intelligence, Enterprise Cybersecurity, Security Information and Event Management (SIEM)

Solution Consultant

2022 - 2023
Tietoevry
  • Led client projects for international application management services (AMS) clients, optimizing business processes through data-driven insights and automation.
  • Developed a Python-based data analysis tool that accelerated team workflows by 30%, improving project efficiency.
  • Built a multivariate model for offshoring location analysis, providing the business development team with strategic decision support.
  • Conducted data analysis for an AMS project, which included generating FTE demand calculations and streamlining resource planning.
Technologies: Process Flows, Application Management Services (AMS), IT Consulting, Python, Business Intelligence (BI)

Junior Associate

2020 - 2022
Jones Lang LaSalle
  • Developed an automated data pipeline that processed data from around 100,000 companies, enabling efficient analysis for client decision-making.
  • Built investor reports and business tools by leveraging commercial real estate data, supporting high-value transactions.
  • Optimized lease portfolio strategies by analyzing market trends and improving client cost efficiency.
  • Led client projects to enhance data-driven decision-making for international real estate firms.
Technologies: Financial & Commercial Real Estate Analytics, Business Intelligence (BI), Market Research & Analysis, Data Pipelines, ETL, Python, Microsoft Power BI, GIS

Experience

TSM Web API Project

This project involved developing a Python-based tool to analyze in-game assets and commodities in the World of Warcraft (Wow) market using TradeSkillMaster (TSM), a 3rd-party API. The tool aimed to identify arbitrage opportunities and explore financial modeling concepts in a virtual economy.

Education

2020 - 2023

Master's Degree in Economics and Computer Science

Aalto University - Helsinki, Finland

2020 - 2021

Master's Degree in Business Administration (Erasmus MBA)

Korea University - Seoul, South Korea

Skills

Libraries/APIs

XGBoost

Tools

Microsoft Power BI, Git, GIS, Sentinel, ELK (Elastic Stack)

Paradigms

Business Intelligence (BI), ETL, Role-based Access Control (RBAC)

Platforms

Visual Studio Code (VS Code), Windows, Linux, Azure, Databricks, Microsoft Fabric

Languages

Python, SQL

Storage

Data Pipelines, Databases

Other

Business Strategy, Digital Innovation, Data Management, Market Research & Analysis, Optimization, Global Strategy, Business Development, Consulting, Data Governance, Process Flows, Application Management Services (AMS), IT Consulting, Financial & Commercial Real Estate Analytics, Financial Analysis, Process Optimization, Digital Transformation, Machine Learning, Microsoft Azure, Threat Detection and Response (TDR), Threat Intelligence, Enterprise Cybersecurity, APIs, Data Analysis, General Data Protection Regulation (GDPR), Incident Response, Cloud Security, World of Warcraft (WoW), Security Information and Event Management (SIEM)

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