Olga P.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

My goal is to help you with: • data analysis, finding patterns in data • natural language processing • artificial intelligence, machine learning • programming, writing scripts • academic and technical writing My background: • 10+ years of experience with Python, data analysis, artificial intelligence, machine learning, and natural language processing. • Interested in education, medical applications, and healthcare innovation. • For the past 10 years, I've been working with startups and SMEs, but I am also familiar with academic research. • B.Sc. and M.Sc. degrees in Computer Science. Software engineering and programming skills. • 17+ years of experience in information technology, including programming and prototyping, data analysis, website development, requirements engineering, database design, user experience design. • 8+ years of experience in writing technical documentation, business proposals, and grant applications. My technical skills: • Python: scikit-learn, pandas, NumPy, NLTK, SpaCy, networkx, Django, data visualization (matplotlib, seaborn) • deep learning: TensorFlow, PyTorch, transformers, LangChain, Large Language Models (LLM) • R project for statistical computing (#rstats, Rstudio) with ggplot2 visualization library; • text analytics, natural language processing, regular expressions, corpus analysis for linguistics, word clouds, TF-IDF; • data analytics and predictive models: linear regression, logistic regression, decision trees, SVM, Naïve Bayes, random forest, K-means clustering, neural networks, etc.; • social network analysis, community detection, centrality measures, Gephi; • mining frequent patterns, association rules (e.g., items frequently bought together); • data preparation: writing scripts for organizing datasets, getting and cleaning data; • data exploration and descriptive statistics; • exploratory data analysis and descriptive statistics • basic tech skills: Bash, HTML, CSS, JavaScript, WordPress, LaTeX Projects Solved problems in natural language processing (Python, C#): • Created and improved features for a grammar checker with over 1.5 million users • Analyzed event sequences in bank transactions • Wrote corpus analysis scripts for linguistics research Implemented data analysis algorithms (Python, R, MATLAB): • Mining frequent patterns: items frequently bought together • Ranking algorithm for Twitter data • Exploratory data analysis Extracted, transformed, and prepared data (Python, R, Unix tools) • Data extraction, preprocessing, and cleaning Built machine learning models (Python): • Estimation of risk factors for type 2 diabetes • Calculating the risk of chronic kidney disease • Forecasting seasonal sales based on historical data