Nick Pavlenko

Product Owner & Principal Data Scientist | Founder & Lecturer



May 2020 - Present

Product Owner &
Principal Data Scientist

Product Owner & Principal Data Scientist | Personalized AI Solutions | Data-Driven Market Analysis | BI Dashboards | Agile Project Management | AI & Data Science Education

As a seasoned Product Owner & Lead Data Scientist, I specialize in developing personalized AI solutions for content designers, marketers, and content creators using generative and large language models. I’m dedicated to creating data-driven market analysis tools, leveraging machine learning techniques to provide actionable insights and client segmentation. With hands-on experience in BI tools like Tableau, Power BI, and Shiny, as well as programming languages such as R, Python, and SQL, I design efficient dashboards to inform decision-making.

Adept at agile project management, I foster collaboration across cross-functional teams and stakeholders while driving business growth through innovative product development. Additionally, I’m committed to enhancing knowledge and skills in Data Science and AI through specialized educational programs for individuals and organizations.

Nov 2018 - Dec 2022

Lead Data Science Consultant | Fortune 500 Client Support | Banking | Manufacturing | FMCG | BI Tools | ML Production Standards | UX Optimization | KPI-Driven Solutions

At Lingaro and Capgemini, I’ve served as a Lead Data Science Consultant, assisting Fortune 500 companies in leveraging data insights to drive profitability. My experience includes managing credit risk processes in the banking sector, validating customer scoring, and optimizing product portfolio management. I’ve led teams to develop FMCG solutions, implementing ML production standards, and creating demand forecasting tools using time-series analysis.

Skilled in creating clear data presentations from large datasets, I foster open-mindedness and collaboration with stakeholders and cross-functional teams. I’ve configured and implemented marketing and analytical tools to optimize website UX and develop advanced BI tools for decision-making support.

In addition, I’ve conducted research on product lifespan factors and developed market-specific, data-driven solutions focused on KPIs. My key responsibilities span portfolio development, supply chain, marketing, procurement, sales optimization, insights generation, e-commerce, process mining, decision-making automation, and business intelligence.

Key tool set: RStudio, R, Python, SQL, Plotly, Shiny, Power BI, Tableau, SSMS, Visual Studio Code, Celonis, Disco, AWS, Microsoft Azure, Databricks, Spark, Jupyter, Git, Jira.

May 2018 - Present

Mentoring, evaluation and review of the best among applications submitted for funding under programs from the Polish National Agency for the Academic Exchange.

Nov 2017 - Nov 2018

Analysis & Modeling Specialist | Cybersecurity & Incident Prevention | Big Data & ML-driven Anomaly Prediction | Process Automation | Data Visualization

As an Analysis & Modeling Specialist at Santander Bank, I focused on developing systems to monitor and prevent cyber incidents, mitigating potential threats and data risks. I utilized big data, machine learning, and deep learning techniques to predict anomalies in banking systems, and automated repetitive processes for efficiency. My key responsibilities included Data Science, Project Management, Business Intelligence, and Cybersecurity. Skilled in R, Python, SQL, and various data visualization tools, I ensured robust systems monitoring and insightful data visualization for cybersecurity department.

Apr 2017 - Oct 2017

Data Scientist | Customer Acquisition & Retention | Financial Impact Analysis | Offer Personalization | Automated Reporting | Data Visualization

As a Data Scientist at ING Bank Śląski, I played a key role in analyzing and modeling customer acquisition and retention, assessing the impact of financial factors on purchasing decisions, and recommending offer adjustments based on sales data. I contributed to customer profiling, assisting marketing and sales teams in tailoring offers, while automating and parameterizing data analysis processes for efficient reporting. Skilled in translating complex technical concepts for non-technical stakeholders, I utilized tools such as R, SQL, Power BI, and IBM Cognos Analytics to deliver data-driven insights and visualizations.

Mar 2017 - Apr 2020

Co-founder & CFO | Agile & Lean Startup Expert | Data Science & Risk Management | Cross-Functional Collaboration | Tech & Data Mining Proficiency

As the Co-founder & CFO of Promovolt, I focused on strong leadership and financial management while overseeing product development, startup team management, financial analysis, and project delivery. Leveraging my expertise in Data Science, Risk Management, Lean Startup, and Agile methodologies, I drove business growth and sustainability. Proficient in tech and data mining tools, I effectively collaborated with cross-functional teams, streamlined operations, and delivered results.

Key tool set: Agile, Kanban, Beautiful Soup, Selenium, Python, Trello, Slack, GitHub.

Nov 2016 - Mar 2017

Market Analyst | Electricity Price Forecasting | Renewable Energy Impact Analysis | Trading Recommendations | Data Science & Visualization

At Tauron Group, I developed a mathematical model using optimization methods to forecast short and medium-term electricity prices in the wholesale market. I analyzed the impact of demand on the market, availability of power plants, as well as renewable energy sources, on spot market electricity prices, providing recommendations to the trading department. Key responsibilities included Data Science, Econometrics, Process Optimization, Trading, Machine Learning, Automation, Project Management, Reporting, and Data Visualization. 

Utilizing tools like: R, MS Excel VBA, Solver, IBM SPSS Statistics, Statistica, Gretl, and Thomson Reuters

Mar 2015 - Jan 2016

Sales & Logistics Manager | Pricing Automation | Process Optimization | Team Leadership | Cross-Functional Collaboration | Data Visualization

As a Sales & Logistics Manager at CNC Express, I spearheaded the development of an automated solution for part pricing and optimized valuations for clients. With a focus on end-to-end process management, I oversaw production, sales, and logistics while collaborating with business partners, contractors, and suppliers. I demonstrated strong leadership, managing a team of 20+ professionals and driving efficiency through process optimization, talent management, and strategic planning.

Utilizing tools like: Comarch ERP Optima, Solid Edge, Kompas, Excel VBA, Microsoft Visio, Google Documents.


With over a decade of immersion in the IT realm, I hold dual Master’s degrees in Computer Science and Quantitative Methods for Economics & Business. As the visionary founder of the Data Science Academy, I’ve dedicated my career to harnessing the power of data to drive innovation. My journey has seen me wear multiple hats – from being a pivotal Sales Manager to leading IT consultations for Fortune 500 giants.

My track record speaks volumes of my versatility, having made impactful contributions across sectors such as Finance & Banking, Energy, Healthcare, FMCG, Automotive, Transportation & Logistics, Customer Service (with a special focus on Chatbots), and Education & E-learning.

If you’re on the lookout for someone with a knack for solving intricate challenges and spearheading groundbreaking solutions across industries, let’s connect via form below.


Master of Computer Science

Master of Quantitative Methods for Economics and Business

Bachelor of Education in Technology and Informatics

Erasmus in Portugal.
Experimental research in mechanics, electricity and computer technology

Specialist of Power Engineering


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