Hire the Best Data Analysts in Helsinki, FI

I am a researcher with over 10 years in the research industry. Whether you are trying to get someone to hold your hand throughout your research process or do your research for professional and personal development, I am here for you. You've found the right freelancer whether you are working on time crunch or have a flexible deadline. You project will be the top in my priority list from the time you agree to work with me to the time you say that you're 100% satisfied with the work. I can handle research in vast fields which include, but not limited to: 1. Accounting, Statistics and Finance 2. Business, marketing and management 3. History, Political Science and International Relations 4. Nursing and Psychology 5. Communications and Literature I'm conversant with the most commonly used citation styles, which are: MLA, APA, Harvard, Chicago, Turabian, Vancouver and Oscola. I offer research services in: 1. Research articles and Reports 2. Literature reviews 3. Reflective writing and annotated Bibliographies 4. Case studies and White papers 5. Paraphrasing, rephrasing and rewriting 6. Editing and proofreading 7. Systematic and scoping reviews 8. Humanizing AI written content I understand that every employer wants plagiarism-free work. Therefore, I offer a free plagiarism report as a proof of originality and an AI report as a proof of human written work. The plagiarism and AI reports are generated using Turnitin. In addition to research, qualitative and quantitative data analysis is my forte. I am conversant with the following data analysis software: 1. SPSS 2. Python 3. Excel 4. Tableau 5. Jamovi 6. R 7. Stata Nvivo (for qualitative data analysis).

• 👋 Hi! If you're looking for 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 (𝐃𝐒) and 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈) solutions using 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 (𝐌𝐋) and 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) techniques, I'd be happy to help. What specific challenges or projects are you working on? Let's connect and discuss how I can assist you. We can also set up a meeting if you prefer. 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞 : • My name is Muhammad, and I am a skilled Data Science professional with 𝐒𝐢𝐱 years of experience in Artificial Intelligence . If you need to develop projects in areas like Data Science and Analytics, Natural Language Processing, Machine Learning, Generative AI, or Agentic AI, you're at the right spot. Don't wait, let's connect and transform your ideas into innovative solutions. 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 : • With six years of experience in Data Science I focus on creating impactful Machine Learning and Data Science solutions using AI techniques. My meticulous attention to detail and profound understanding of precise data analysis ensure streamlined and impactful solutions for your projects. 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 : • I have been involved in various Data Science projects, crafting end-to-end solutions for my clients. 𝐒𝐨𝐦𝐞 𝐧𝐨𝐭𝐚𝐛𝐥𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞 : • Amazon Review Prediction System Using NLP Techniques. • Sentiment Analysis Prediction System Using NLP Techniques. • Charity Donation Prediction System Using Machine Learning. • Q/A Chatbot Using Custom GPT. • Knowledge-Based Chatbot for Reporting Using OpenAI. • Emotion Classification Prediction System Using Deep Learning. • Content Summarization Using OpenAI Modeling. • Intent Recognition of Travel Airline Information Using OpenAI. • Bank Data Integration Using Data Science. • Restaurant Review Replier Using ChatGPT. • Sentiment Analysis Prediction System Using Machine Learning. • Machine Learning Project For Assessment Reduction. • Agentic AI Engine using the RAG technique. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬 : • I am proficient in the following tech stack: • Python. • Pandas. • NumPy. • Matplotlib. • Scikit-Learn. • TensorFlow. • Keras. • NLTK. • SpaCy. • Gensim. • OpenAI GPT. • Transformers. • TextBlob. • VADER. 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐬 𝐚𝐧𝐝 𝐂𝐨𝐦𝐦𝐢𝐭𝐦𝐞𝐧𝐭 : • My strengths include effective communication, efficient time management, and critical problem- solving skills. I am highly accurate and have great attention to detail, which helps me deliver error- free results. • I am dedicated to delivering high-quality work that meets my clients' needs and committed to providing excellent customer service. If you're looking for a reliable and skilled Data Science professional, I would be happy to help with your project and contribute to your Data Science team.

Passionate about leveraging data and economic insights to drive strategic decision-making, I bring almost ten years of experience in economics, finance, and data analysis to help clients achieve their goals. As a Top Rated Plus freelancer on Upwork with a 100% Job Success Score, I deliver high-quality work that consistently exceeds client expectations. My ranking among the top 3% of performers reflects a commitment to excellence and results-driven performance. I hold a Master's degree in Economics from the University of Helsinki and a Bachelor's degree in Econometrics. My specialized studies in behavioral economics at Erasmus University Rotterdam provide me with a unique perspective on economics and tackling complex projects. 🔍 Research Expertise Economic Research: ✅ Developed health economics models and authored accompanying white papers and a journal article. ✅ Worked as a research assistant for professors at Harvard and Penn State. ✅ Assisted a senior researcher at the Hong Kong Finance Ministry. ✅ Assisted graduate students with dissertations and reviewed research papers on macroeconomic trends and investment environments. Market Research: ✅ Prepared case studies, pitch decks, and competitor analyses for various clients across different industries. ✅ Conducted M&A research, contributing to global expansion strategies for multinational corporations. ✅ Analyzed mergers and acquisitions to provide actionable insights that informed executive decision-making. 🏦 Financial Analysis ✅ Managed over €50 million in development costs at OP, Finland's largest commercial bank, overseeing tracking and forecasting of costs and reporting directly to management. ✅ Built financial models, including three-statement models and DCF valuation analyses. ✅ Raised capital for a trading firm, facilitating their financial growth and market expansion. ✅ Developed a financial analysis tool for a hedge fund, enhancing their investment decision-making processes. ✅ Collaborated with investment firms, hedge funds, and trading companies to support strategic decisions. 📈 Data Analysis Data Visualization: 📊 Automated data processes and visualized data for a Swedish non-profit, standardizing their reporting to clients. 📈 Built a dynamic Brand Health Dashboard for a medical device manufacturer in Japan, automating data processing, specifying key performance indicators, and delivering actionable insights. Data Analysis: 🤖 Worked with an AI/ML team to integrate behavioral insights into a health app, enhancing user experience through data-driven improvements. 📚 Collaborated with a Harvard professor to analyze Fannie Mae mortgage data, using SQL to pull and manipulate data samples for research purposes. 🔧 Analyzed sensor data from power plants in South Africa to predict failures and optimize operations, utilizing MS SQL to access and combine data from multiple sources. 🔧 Technical Skills 📊 Spreadsheets: Excel, Google Sheets 📈 Data Visualization: Power BI, Tableau 📐 Programming & Statistical Tools: Python, R-Studio, Stata 🗄️ Databases: SQL 🌐 Language Proficiency 🇫🇮 Finnish (Native) 🇬🇧 English (Fluent) 🇸🇪 Swedish (Proficient) My multilingual abilities allow me to effectively collaborate with clients in diverse international settings.

I hold a Master's degree in Information Systems from Finland. With three years of work experience as a Technical writer, I have contributed to the growth of my organization and executed various writing projects successfully. I have also been working as an IT Trainer, responsible for teaching Java, C++, HTML, CSS, Javascript, and other programming languages. Overall, I possess a strong combination of technical writing, data analytics, and research skills, making me a valuable asset in any writing or technical role.

I'm a jack of all trades, working currently with children but looking for remote jobs to balance my income and to learn new skills. I can work in English. Familiar with variety of data annotation jobs. - Multilingual - Flexible - Eager to learn

🎖️ 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.