Erik Grönroos

We help with problems regarding the digital in general and data in particular.

A Finnish expert magazine in the field of Data Science, Analytics and Machine Learning. More info about the magazine (in Finnish): https://analyytikkolehti.fi/

Business development by utilizing and developing AI/ML technologies, automations and system architectures, including Data Protection Officer responsibilities.

Analytics and Machine Learning development, data-driven business planning, consulting.

Key results:

• Several new analytics products developed, +1650% growth to the company analytics revenue
• 200% growth to production efficiency and capacity

Analytics and Data Science implementations and production solutions in more detail:

• Business cases from 100k€ to 30M€
• Advanced analytics, implemented hundreds of analytics apps and setups for clients and in-house
• Utilizing modern Machine Learning, Reinforcement Learning and Deep Learning methods, predictive modeling and exploratory analysis'
• Machine Intelligence automations
• Client classifications and modeling (+150k companies with +100 predictors)
• Automated client reporting built on top of R Shiny (utilizes custom ERP database + Google, Facebook and SEMrush API's)
• Custom analytics-based sales tool
• Custom ERP (Generaxion Hub), design and development based on business needs and implementation on data architecture
• Reverse engineering of Google's and Facebook's algorithms
• Google Analytics, Google Ads and Facebook Ads conversion tracking audits and data collection implementations (+2000 accounts)

I worked in several roles for nearly 15 years. My role included leading Elisa’s Web Analytics development, implementing and analyzing omnichannel analytics, mobile app analytics, securing web data collection. Improving tracking and tagging methods for different business needs under user experience, digital marketing, data-driven development, A/B testing and growth hacking topics.

Providing support and insights to business stakeholders by helping them to understand and make use of their data.

Data science and data engineering related business analytics. Experimenting with data modeling, predictive analytics and machine learning.

Working with data platforms like Google Analytics, Tag Manager and BigQuery, R, Oracle, Netezza, Pega, Hadoop, MapR, S3, Redis.

Past projects include:

• Classification modeling with Random Forest and XGBoost
• Churn and retention analysis, auto-correlation cases
• Google Analytics and BigQuery data network visualization
• Aggregating customer attributes and predictors from Google Analytics data
• Developing custom R Sparklyr connector for utilizing huge datasets with R and Spark