Hire the Best Data Scientists
in Finland

🎖️ Tell me where your marketing budget goes, and I'll show you which part actually works and where the next dollar should go. That is the whole job, and it is what I have done for the last 8+ years. Most teams are measuring marketing by guessing. Last-click takes the credit, the platforms mark their own homework, and nobody can say what a channel is truly worth. I fix that with proper marketing measurement: Marketing Mix Modeling, multi-touch attribution, and incrementality testing that tells you what is causing sales, not just what is correlated with them. I work with founders, growth leads, CMOs and marketing teams who spend real money on paid media and want to trust their numbers before they scale them. What I build: - Marketing Mix Models (MMM), hierarchical Bayesian, to measure each channel's true contribution and reallocate budget; - Multi-touch attribution (Markov chains, Shapley value) across messy, non-linear customer journeys; - Incrementality and causal inference: geo-lift, geo-holdout, difference-in-differences, synthetic control, A/B and experimentation programmes; - Predictive models: churn, LTV, lead scoring, propensity, next best action; - The analytics stack underneath it all: GA4, Google Tag Manager, BigQuery, Snowflake, dbt, Looker dashboards. A few results from past work: - 1.5M EUR unlocked through MMM-driven budget reallocation; - 5M EUR+ in incremental revenue from a structured A/B testing and experimentation roadmap; - 32% lift in projected lead value by moving paid acquisition to value-based bidding; - 27% lower CPA and 15% higher conversion rate through better measurement and targeting. How I work: I treat marketing measurement as causal. I never trust a single model, so I triangulate MMM against attribution and incrementality experiments to make sure the numbers are real. And I translate all of it into one clear recommendation a non-technical founder can act on, because a model nobody uses is worthless. You are a strong fit if: - You spend on paid media (Google Ads, Meta, TikTok) and cannot prove what is working; - You need MMM, attribution, or incrementality testing done properly; - You have data but no clear path from data to decision; - You want senior judgement, not a junior running a template. Not a fit if: - You want last-click attribution to keep telling you what you want to hear; - You are looking for the cheapest possible setup over a correct one My stack: Python (pandas, scikit-learn, PyMC), R, SQL, BigQuery, Snowflake, dbt, Vertex AI, Looker, GA4, Google Tag Manager, Google Ads, Meta Ads. I am a PhD candidate in Data Science at NOVA-IMS researching causal inference, so you get academic rigour combined with in-house growth-team pragmatism. Expertise: Marketing Mix Modeling, MMM, Media Mix Modeling, Marketing Measurement, Multi-Touch Attribution, Attribution Modeling, Incrementality Testing, Geo-Lift, Causal Inference, Bayesian Statistics, Marketing Analytics, Predictive Modeling, Churn Prediction, Customer Lifetime Value, LTV, Propensity Modeling, A/B Testing, Experimentation, GA4, Google Tag Manager, Conversion Tracking, BigQuery, Python, Data Science. Send me a brief and I will reply within a few hours.

I create fully illustrated, KDP-ready children’s books — from character design to final print-ready files. I help authors turn manuscripts or ideas into fully illustrated, formatted, and print-ready children’s books for Amazon KDP. Most clients come to me when: • illustrations don’t match across pages • books fail KDP upload due to formatting issues • they need someone to handle both illustration and publishing I solve this by combining illustration skills with real KDP publishing experience. What I can do for your book: ✔ Full children’s book illustration (characters, scenes, storytelling) ✔ Consistent character design across all pages ✔ Cover + interior design aligned with KDP requirements ✔ KDP formatting (margins, bleed, trim size, layout) ✔ Fixing KDP upload errors (interior & cover) ✔ Delivering print-ready files (PDF, PNG, 300 DPI) I also run my own coloring book projects, so I understand not only design — but what actually works and sells on KDP. Experience: • 70+ listings on Etsy • 40+ real sales with 5★ reviews • 27 books published on Amazon KDP I focus on fast delivery, clear communication, and making the process easy for you. If needed, I can create a quick sample to match your style before we start. Let’s make your book ready for publishing 👍

I'm Syed Danish, an AI Full-Stack Engineer specializing in building intelligent, end-to-end AI applications that solve real-world business challenges. With a Bachelor's in Computer Science and currently pursuing my Master's at LUT University, Finland, I combine technical expertise with strategic thinking to deliver impactful solutions. As an AI Software Engineer I have designed and deployed 10+ POC applications and 6 production-ready projects using cutting-edge AI technologies. I work extensively with 3rd party and Open-Source Large Language Models like (Claude, ChatGPT, Llama, Gemini and Mistral) and Vision Language Models to create sophisticated AI solutions tailored to client needs. My experience spans the complete AI development lifecycle—from data engineering and analysis to machine learning model deployment. What I bring to the table: - Full-stack development expertise with React.js, Node.js, Python, and modern frameworks - Cloud infrastructure mastery on AWS, GCP and Azure with CI/CD implementation - Hands-on experience with Computer Vision, NLP, and Generative AI - Data engineering skills including. Data Warehousing, ETL pipelines using Apache Airflow, Pyspark, Hadoop - Data Analytics using Tableau, PowerBI, Grafana & Kibana. Following AI as my passion, I have leveraged AI to create innovative solutions that drive business value. Whether you need an intelligent automation system, a custom AI application, or a complete data pipeline, I'm here to transform your vision into reality. Let's build something amazing together!

Hello, I'm Md. Azmir Alam, a dedicated data scientist specializing in R programming for comprehensive data analysis and statistical modeling. With 5 years of experience in health data, I excel in transforming raw data into actionable insights, supporting informed decision-making for healthcare professionals and organizations. My expertise spans data cleaning, intricate analysis, and crafting sophisticated statistical models. Focused on the healthcare sector, I contribute significantly to research, enhancing decision-making processes and operational efficiencies. Services I Offer: Data Cleaning and Preprocessing Exploratory Data Analysis (EDA) Statistical Modeling and Hypothesis Testing Predictive Analytics and Machine Learning in R Customized Data Visualization Health Data Insights and Reporting Let's collaborate to unlock the full potential of your data assets, driving strategic insights and fostering impactful outcomes for your organization."

Hi, I’m Sam (Soheil), a Python backend engineer with 6+ years of experience building and maintaining production systems. I specialize in Python backends and data-heavy services, helping teams build reliable APIs, optimize performance, and scale existing systems. I work comfortably on both new projects and large, existing codebases. What I can help with: • Backend development with Python, FastAPI, Flask • Designing and optimizing APIs • Asyncio, background workers, and concurrency • Database design and query optimization (PostgreSQL, SQLAlchemy) • Data pipelines, scrapers, and integrations • Writing clean, well-tested, maintainable code • Debugging and improving legacy systems I care about code quality, clarity, and long-term maintainability. I follow SOLID principles, write tests, and document things so other developers can work with the code easily. If you need a reliable backend engineer who can take ownership and deliver, feel free to reach out.

A results-driven Data professional with over 4 years of experience in analytics, forecasting, and dashboard development across the telecom, retail, and industrial sectors. I specialize in translating complex business needs into actionable insights, utilizing KPIs, A/B testing, and robust data visualization. My expertise includes: * Designing and deploying Machine Learning and LLM models to solve real-world problems (e.g., market share estimation, executive data querying). Building and optimizing ETL pipelines and real-time KPI dashboards using tools like Power BI and Tableau. Advanced Time-Series Forecasting and statistical analysis to detect inefficiencies, reduce fuel consumption, and optimize operational performance. I am proficient in Python and SQL and strong in process optimization, workflow improvement, and cross-functional collaboration. I'm currently focused on process improvement and data-driven decision-making in my Industrial Management studies. Let's connect to turn your data into a strategic asset!