Data Analyst with a hands-on experience in Python and its libraries such as NumPy, Pandas, Scikit-learn, Plotly, and PyTorch, version control in GitHub and cloud tools AWS and GCP. Also got a prior experience with SQL and RegEx from my projects and have applied frequently MS Excel in a broad spectrum of tasks.
Prior to my career in Data Science and Analytics I had obtained a Master's degree in Finance and gained over 10 years of working experience in the Finance field, ranging from small Finnish companies to global enterprises.
An AI-powered application for estimating crowd sizes in images using multiple machine learning models. The application provides crowd counting functionality using three different AI models:
Users can either upload their own images or choose from provided sample images to estimate crowd sizes in various scenarios.
More details can be found in the project's GitHub repository.
Developed Python scripts and optimised SQL queries to extract and analyse data from multiple sources during the company’s complex ERP transition.
Conducted price-volume mix and gross margin analyses for the local organisation to drive gross margin growth and simplify reporting
Created Power BI dashboards and semi-automated Excel reports to support the commercial team in business and pricing decisions.
Built an Excel-based pricing scenario tool for the Tender team, enabling fast sales and gross margin insights during live tender auctions.
Collaborated closely with Sales, Pricing, and Supply Chain teams. Main tools included Python, Power BI, and MS Excel.
Operating through my own limited liability company, provided financial consulting services, including accounting, tax, payroll, and finance advice, to startups and small businesses in Finland.
Since 2022 also collaborated on data science projects across various industries, including energy and textile manufacturing, using both open-source Python libraries and cloud platforms such as AWS and GCP.
Worked on a project with a Finnish client operating in energy industry for whom we implemented an AWS Rekognition object detection model for client-specific images to automate and streamline the client's maintenance process.
Collaborated in a team of data engineers and client's professionals using scrum methodology. The project was conducted fully in Finnish language.
An intensive 6-month-long program in Data Science and Machine Learning. The main technologies we are focusing on are Python, Scikit-learn, and TensorFlow among others to tackle real-life challenges.
Responsible for day-to-day interaction with community members, hosted domestic & international visitors managed rental agreements, and organised community events.
Co-organised Slush side-events with 25 HealthTech startups and over 100 global investors.
Fully responsible for accounting, reporting, taxes, payroll and finance consulting of small Finnish business and international real estate companies with local operations.
Reported inventory balances including analysis per regions, business segments and other parameters to improve the balance sheet overview of the local Controller & Regional controllership.
Organised annual physical inventory count.
Performed regular Obsolescence reserve calculation and management.
Performed Standard and extended reserves calculation and booking.
Delivered Analysis of domestic sales to support local sales team.
Analysis of inventory balances and transactions to support both HQ and Operational teams in their estimates and planning.
Described internal processes in international companies.
Audited various sections of financial statements.
Performed audit of physical inventory count.
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