Artem Kel

As a Data Engineer in the Cloud Data Capabilities Squad at Signal Iduna, I am responsible for developing a new BI landscape in the Google Cloud environment, enabling business analysts across various departments to leverage this structure for insightful data analysis and dashboard creation.

Pricing Strategy Analytics: Led analysis for a major bank, using SPSS and Excel to segment customers and assess campaigns, guiding strategic decisions. Customer Insight Analytics: Conducted deep analysis for a Swiss retailer using Python and Pandas, developing ML models to refine marketing strategies. NLP Development: Developed a text-to-SQL tool with Llama-2 and LangChain, enhancing NLP and programming skills, presented a successful proof-of-concept to the CTO.

As a Junior Data Scientist at Datalogue, I developed Tableau dashboards for decision-making and prepared datasets using SQL. Automated and streamlined email marketing analytics using SQL and Python, enhancing strategies through effective communication. Collaboratively developed ML models for customer potential analysis, managed data collection and analysis, and effectively communicated results with metrics like Lift Curve to optimize marketing campaigns.

In my Business Analyst role at Wankel Supertec GmbH, I led data analytics for market, competitor analysis, and financial forecasting, enhancing customer segmentation and web analytics. Drove process improvements, supporting strategic planning and optimizing pricing and supply chains. Boosted profits through effective B2B marketing (SEO, Google Ads, Content Marketing, PR) and managed external financing efforts including crowdfunding, government grants, and investor relations.

As Data Analyst Trainee at LEAG, I developed a redispatch forecast using Multiple Linear Regression in Excel, with data from external sources and employer-provided outputs, laying the groundwork for advanced modeling. I automated monthly business reporting, enhancing Excel spreadsheet structures, reducing managerial effort and errors. Additionally, I calculated and analyzed opportunity costs for power plant maintenance, using historical data to optimize service scheduling.