Hire the Best Time Series Analysis Professionals

I help businesses clean, organize, analyze, and present data clearly using Excel, Python, and dashboard tools. My background combines data analysis, financial reporting, forecasting, and business intelligence experience, allowing me to turn raw information into accurate reports, dashboards, and actionable insights. I have worked on Excel dashboard creation, data entry, research tasks, financial reporting, pricing analysis, KPI monitoring, and forecasting. At Schneider Electric, I supported business intelligence work involving pricing data, dashboards, and performance analysis. As CFO at Alfazza Tri Utama CV, I prepared profit and loss reports, financial projections, and financial records. I can support projects such as Excel dashboards, data cleaning, data entry, financial reporting, KPI tracking, forecasting, and business analysis. I focus on accuracy, clear communication, and reliable delivery.

🏆 EXPERT-VETTED TOP 1% ON UPWORK |⭐ 5-Star Ratings | Data Analytics and Predictive Modeling|💎MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics |✅ R, PYTHON, SAS, Tableau, Power BI | ✅Data Science, Machine Learning Models | ✅STATA Master, Large Survey Data and Regression Analysis, Economic Policy Evaluation, Predictive Financial Modeling | 🏆PhD and 20 years of experience. ABOUT ME: 🏆 EXPERT-VETTED and TOP RATED PLUS status (TOP 1% on UPWORK) 🥇20 years of working experience with large corporations and institutions (Amazon, the World Bank, International Financial Corporation, University of Pennsylvania) 🎓PhD/Professor in Econometrics/Statistics/Data Science 💎Provide effective help for MASTER/PHD THESIS With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top Rated Plus), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. I have over 20 years of experience in empirical research, statistical analysis, econometric modeling, data science, machine learning models, data analysis (panel data analysis and time series analysis, complex survey design and analysis), data visualization, storytelling, and project management. I enjoy creating dashboards of data analytics to provide data insights, data trend, meaningful graphs, statistical analysis, story-telling summary that serves as key benchmark to influence business decision. Moreover, I also provide robust statistical evidence, regression/correlation analysis, machine learning predictive models to provide supportive and significant results for business projects. I also help clients understand different statistical techniques, regression techniques, learn excellent statistical language including STATA, SAS, R, and Python to make your life easier. My previous projects on machine learning and econometric modeling include the followings but not limited to: - Data Analysis, Large Survey Data Analytics and Data Visualization. - Linear regression with panel data and time series data. - Forecasting model for time series analysis - Financial modeling such as stock returns, cryptocurrency price prediction, financial indices and financial performance prediction. - Machine Learning models: Random forest, decision trees, KNN, neural network,... - Logistic models, multinomial logit models, ordered logit models. - Economics research, market research, house price, mortgage default prediction, - Program evaluation using different methods such as difference in difference, propensity score matching, instrument variables, fixed effects, regression discontinuity design. I am happy to share my knowledge on machine learning modeling as well as quantitative and analytical skills to help you succeed in your project. In addition, with my experience in participating and presenting in thousands of academic and industry conferences, supervising and guiding hundreds of college and graduate students in their thesis/dissertation, I am very confident that I can help you make a difference in your project and bring out the highest quality and great results for your Master or PhD's thesis/dissertation project. I can also provide statistical advice and statistical analysis including: - Descriptive Statistics. - Bi-variate analyses such as t-tests, correlations, chi-square tests and non-parametric tests for normal and non-normal data. - Multivariate analyses such as ANOVA, MANOVA, LDA, PCA and factoring analysis, regression analysis (see econometric models above). - Review and interpret statistical output, set up the appropriate hypothesis testing and write up conclusion and policy recommendation. - Tutoring Statistics, Math and Econometric courses: including both introduction and advanced courses. I have experience with different types of data including: - Survey data (household, market research, firm/business/country data, house price, loan performance, accounting, finance, health, labor and income, etc.) - Panel data - Time series data I help clients put together and analyze different types of survey data, panel and time series data, getting the data insights, build data trend and data stories with meaningful graphs and great visualization. With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top rated), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. Looking forward to working with you soon, Dr. Victoria

I'm a quantitative financial analyst and algorithmic trading data scientist with over 15 years of professional experience in technical and trading roles at hedge funds and major trading companies. I'm an expert at all aspects of systematic trading, going from raw idea, to fully automated systematic trading strategy. Strategy design & signal development Whether you arrive with a rough sketch or a fully-formed hypothesis, I help translate it into clear rule sets or statistical signals. Robust back-testing I build event-driven test environments that respect market microstructure: realistic fills, spreads, latency, and transaction costs. Applied machine learning (when it adds value) Some problems benefit from additional pattern-detection—regime classification, order-flow imbalance, or adaptive position sizing. Where appropriate, I incorporate ML techniques, but only when they improve risk-return relative to simpler rules. Deployment & oversight Strategies can be delivered as semi-automated tools (you review signals, click to trade) or fully automated pipelines posting orders to Interactive Brokers, Alpaca, or exchange APIs. Independent model review Funds often retain me for a “second opinion” on in-house or vendor models before capital is committed. I examine code, data-handling, leakage risk, and performance attribution, then provide a concise report highlighting strengths, weaknesses, and remedial steps. Expert witness & litigation support I assist in cases involving algorithmic trading, model risk, or market abuse—providing clear technical analysis and expert testimony. --- I'm very laid back about how engagements begin, and I appreciate that clients are keen to have conversations with multiple freelancers before choosing one. I'm happy to have a call and chat through your ideas and what I can add while you're deciding. Whilst I'm not new to quant finance, I am new to Upwork, and I've set my rate artificially low while I get some initial reviews. Pls see my work history, bio, and website for more information. Bayesmetricanalytics.com

Do you need accurate, actionable insights from your survey, research, or business data to make informed decisions through powerful statistical and data science analysis? Look no further! I am a top-rated and full-time research data analyst with >8 years of experience in IBM SPSS, R, Python, SAS, STATA, NVIVO, JMP, JASP, Atlas.ti, Excel/Google Sheets. As a statistics wiz, survey expert, and data science practitioner, my areas of expertise include: ⭐️ Questionnaire/survey design & validation ⭐️ Survey & research data analysis: descriptive, inferential (Chi-Square, regression, correlation, t-test, ANOVA, etc.), predictive modeling ⭐️ Detailed interpretation & storytelling of results ⭐️ Report writing, academic formatting (APA, Harvard), and publication-ready outputs ⭐️ Advanced automation & scripting for reproducible workflows I provide a variety of services including but not limited to: ★ Sample size calculations ★ Correlation, regression, & multivariate analysis ★ Hypothesis testing & statistical modeling ★ Factor analysis (EFA/CFA), structural equation modeling ★ Predictive analytics & data visualization ▶︎ and much more My specializations: Health Research & Predictive Analysis Master's/Ph.D. Thesis & Dissertation Modeling Company Survey & Performance Analytics Social, Economic & Behavioral Data Science Projects What clients say 👉👉👉 ☆☆☆☆☆ "She is always of great help, and the turnaround time is on point. I can depend on her for assistance and explaining the work thoroughly." "Great work. Amazing communication and delivered the project on time." "Esther's results were clear, organized, and thoroughly explained. Excellent work! I'm so impressed! I appreciate her efforts and insight to the analysis of the project!" ☆☆☆☆ ✍️ Feel free to get in touch, and we can discuss your project further

If you're looking for someone who actually understands your business problem not just the technology you're in the right place. I'm Ali, an AI Agent & LLM developer specializing in building intelligent automation that works in the real world. Whether you need a smart OpenClaw agent that handles your workflows autonomously, a custom ML model trained on your data, or an LLM powered app that actually solves something I build it properly, from start to finish. What I work with: OpenClaw Agent Development & Automation LLMs : Claude, DeepSeek, Hugging Face models TensorFlow & PyTorch NLP, Computer Vision, Time Series Forecasting Explainable AI & Model Evaluation Azure Machine Learning I don't take on everything. I focus on projects where AI can make a genuine difference, and I work with clients who value quality over speed. Got something in mind? Send me a message . I'll tell you honestly whether I can help and how I'd approach it.

I turn messy environmental, agricultural and geospatial data into decisions. Not just maps and shapefiles, the forecast, the dashboard and the answer your team can act on. I am a Data Scientist and Forest Engineer with 10+ years of experience. I currently lead the Data Intelligence area for the Planning Advisory Department at IDR-Paraná, where my pipelines support 399 municipalities and inform an agricultural and forestry sector worth billions. In practice that means I do four things most GIS freelancers do not do together: Geospatial data engineering. Production Python + PostGIS pipelines that pull multi-source data (satellite, census, trade, land prices, field data) into clean, reproducible datasets. Scheduled and tested with GitHub Actions, not one-off scripts. Machine learning on spatial data. scikit-learn and PyTorch models for time-series forecasting, clustering and segmentation, and collaborative filtering. The “what does this mean and what happens next” layer, not just the map. Decision dashboards. Interactive Plotly/Dash and Power BI dashboards that stakeholders actually use to decide. I built Datageo Paraná, a public platform with 10 interactive dashboards spanning 30+ years of data and 400+ products (VBP, census, ComexStat, employment, land prices, forestry prices). Domain depth. Forestry, agribusiness, sustainability and public-sector analytics. I have led FSC- and NR-31-compliant operations across multi-million-hectare projects, so I understand the data and the decisions behind it. What you get when you hire me: a clear scope up front, fast and direct communication, a documented methodology, original analysis (never recycled or plagiarized), and a full handoff of the maps, the validated pipeline and the code. You own everything at the end. Tools: Python, PostGIS / PostgreSQL, QGIS, scikit-learn, PyTorch, Plotly/Dash, Power BI, Supabase, GitHub Actions, GDAL/GeoPandas/Shapely/rasterio, SQL. Good fit if you need: satellite / remote-sensing analysis, geospatial web scraping and data acquisition, spatial data pipelines, forecasting or segmentation on geographic data, interactive geo dashboards, or forestry / agribusiness / environmental decision analytics. If you have geographic data and a decision to make, message me. I will tell you honestly whether I am the right fit and what the smallest useful first step looks like.