Hello! I’m a PhD-level Data Analyst with a strong academic background in Statistics and Mathematics, and a broad skill set that spans Statistical Analysis, Machine Learning, Natural Language Processing (NLP), Time Series Modeling, and Mathematical Modelling. My passion lies in solving complex problems by leveraging data to uncover insights that drive business success. With deep expertise in mathematical modeling, machine learning, and deep learning, I can deliver high-impact solutions tailored to your needs. What I Offer: • Advanced Statistical & Mathematical Modeling: I combine statistical theory with practical experience to build and implement models that predict, optimize, and solve real-world challenges. My PhD in Statistics and double major in Mathematics enables me to apply the most sophisticated methods to your data, ensuring highly accurate and reliable results. • Machine Learning & Deep Learning: I’m proficient in building advanced machine learning models using Scikit-learn, TensorFlow, and PyTorch for classification, regression, clustering, and other predictive tasks. My deep learning expertise allows me to create state-of-the-art algorithms for tasks like image classification, object detection, and NLP. • Time Series Forecasting: Whether you need to predict sales, stock prices, or any time-dependent data, I use the latest statistical techniques to forecast with precision and provide actionable insights. • Natural Language Processing (NLP): I apply cutting-edge NLP techniques to process and analyze unstructured text data, enabling tasks like sentiment analysis, text classification, and language modeling. • Image Classification & Computer Vision: Leveraging deep learning algorithms, I help businesses extract valuable insights from visual data, perfect for applications in medical imaging, security, or content categorization. Programming & Technical Skills: • Python – My primary tool for data analysis, machine learning, and deep learning. • Java – For building scalable, high-performance applications. • SQL – Expertise in querying and managing large databases. • R – Used for advanced statistical modeling and data analysis. • Matlab – For numerical computation and algorithm development. • GAMS, Cplex, Guropy, Pyomo – Proficient in optimization and mathematical programming tools to solve complex decision-making problems. Why Work With Me: • PhD Expertise: My deep academic foundation ensures I use the latest, most effective statistical methods to solve complex problems. • End-to-End Solutions: From data wrangling and preprocessing to model deployment and cloud integration, I offer a comprehensive, end-to-end approach. • Customized Approach: I understand that every business has unique needs. I tailor my solutions to fit your specific requirements and challenges. • Clear Communication & Collaboration: I ensure that my results are understandable and actionable, providing you with insights in a clear, concise manner, and I’m committed to collaborating closely with you throughout the project. If you’re looking for a highly skilled and results-driven Data Analyst with the technical expertise and academic background to solve your data challenges, let's connect! I’m ready to help you turn your data into a strategic advantage. Feel free to reach out for a consultation, and let's get started!

I am a Data Analyst with a passion for turning datasets into insights that drive real-world impact. With hands-on experience in SQL, Excel, Power BI, Tableau, Python and R, I specialize in statistical analysis, data cleaning, data validation, exploratory data analysis (EDA), dashboard development, KPI tracking, trend analysis and reporting. Over the past 5 years, I have worked across different sectors including government, education, research and business, using data to drive data-informed decisions and optimize processes informed decisions and workflows. I am particularly passionate about solving real-world problems with data, optimizing processes and helping organizations leverage information to make smarter decisions. If you are looking for someone who can combine technical proficiency, analytical thinking and clear reporting to extract insights and support decision-making, let’s work together.

Customer lifetime value (CLV/LTV) modeling is my specialty. Using probability models (BG/NBD, Pareto/NBD, Gamma-Gamma), retention curves, and RFM segmentation, I tell you who your most valuable customers are, what they are worth, and how to acquire more of them. Around that core I bring the full marketing-analytics toolkit - marketing mix modeling (MMM), multi-touch attribution, pricing, and forecasting - in Python and R, for CPG, DTC, media, fintech, and B2B clients. Over 30 years I have directed more than $70M in combined consumer-insights and analytics spend - $20M+ client-side (Bacardi Global Brands) and $50M+ agency-side (GfK, Millward Brown/Kantar) - so I read these models the way a CMO does, not just a data scientist. I translate model output into the decision, the deck, and the board-ready story. What I deliver: - Customer lifetime value (CLV/LTV): BG/NBD and Pareto/NBD + Gamma-Gamma probability models, retention curves, cohort and RFM segmentation; forecast customer value and surface your most valuable acquisition cohorts for DTC and subscription brands. - Marketing mix modeling & media ROI: ARIMAX, Bayesian/hierarchical, and regression models with adstock and saturation; in a recent engagement I identified a channel-reallocation opportunity worth roughly a 185% gain in marketing efficiency. Build from scratch, or finalize, validate, deploy, and maintain existing models (Python or R). - Attribution & measurement: reconciling Meta / Google / GA4 platform reporting against actual business outcomes; blended CAC and single-source-of-truth frameworks. - Pricing & forecasting: conjoint / willingness-to-pay studies and supervised-ML pricing models (random forest, gradient boosting) deployed as interactive calculators. - Data engineering & viz: BigQuery warehousing, dashboards (Power BI, Tableau, Looker Studio), and clear recommendations leadership can act on. Credentials: Wharton MBA (Marketing), Brown B.A. in Applied Mathematics. Top Rated on Upwork with 100% Job Success across 8 engagements. Stack: Python, R, SQL, SAS, Azure, AWS, GCP/BigQuery, Power BI, Tableau, GA4, Looker Studio. Fluent in Spanish, working Portuguese - comfortable on global, multi-market engagements. I keep scope tight, communicate in business terms, and hit deadlines.

I offer complete guidance and help on Medical Researches/Articles/Trials/Studies including but not limited to: ⚬ Study Design ⚬ Sample Size Estimation (Power Analysis), ⚬ Results (Statistical Analysis) ⚬ Research Proposal ⚬ Literature Review ⚬ Discussion ⚬ Relevant "Methodology" & "Abstract" ⚬ Case-studies ⚬ Medical Blogs/Articles ⚬ Meta-Analysis and Systematic Reviews ⚬ Scoping Reviews Me and my team at MDI can work magic with the data and convert it into some striking points and facts for your research. We will write a manuscript for the relevant part of your research that will be publishable in any medical journal. "Big Data will replace the need for 80% of all Doctors" - Khosla V. Hi, I'm Dr. M. Saad Jamil, M.D graduate from Quaid-e-Azam Medical University and currently the statistical analysis head at "MedStat Solutions" (MSS). I am a biostatistician and data analysis consultant with years of vast experience working on many national and international research forums, particularly experienced in clinical epidemiology. My team at MSS works to create better health services for patients by collaborating with pharmaceutical companies, hospitals and insurance companies. We have a track record of multiple research publications in high impact factor journals. "The Goal is to turn Data into Information and Information into Insight" - Fiorina C.

I have 10+ years of experience helping healthcare clients reach their data goals. I've worked with a variety of healthcare specific datasets including Medicare data, claims data, billing data, provider data, and more. We are of course familiar with HIPAA compliance and I am happy to sign a BAA. ------------------------------------------------- Sample of Healthcare Clients (Past and Current): ------------------------------------------------- PennMedicine Allina Health Alaska Department of Health Steven Klein Wellness Center (Project HOME) Portland Mental Health and Wellness Keen360 City of Philadelphia --------------------------------------------------- Services I've Helped With --------------------------------------------------- • Create reports & dashboards • Connect to APIs • Configure custom business applications • Create databases • Clean & reformat data • Implement data science algorithms • Machine learning • ETL & Data Engineering • Automate manual processes • Write AI chatbots • Customize, train, & fine tune LLMs ------------------------------------------------------ Problems I've helped solve ------------------------------------------------------- Here are just some examples: • "We need a machine learning model to help identify factors that are causing actual claim costs to be significantly higher than expected costs." • "How are my hospital employees utilizing their mental health HR benefits?" • "We need a dashboard to show various statistics about maternal healthcare across our organization." • "In an effort to reduce costs, implement an AI Chatbot that interacts with patients to answer common questions." • "We need a report that updates quarterly to compare provider performance." • "As AI evolves, we need a more robust policy to ensure our HIPAA and other data is being protected." • "We need a comprehensive plan to overhaul our provider data management system and data flow automations." ------------------------------------------------------- Tools ------------------------------------------------------- • Power BI • Tableau (certified) • Python • SQL • Excel & Google Sheets • AI Tools (LLMs, APIs, etc.) • Looker (certified) • Qlik • JavaScript I am also comfortable working with more obscure programs that are not on this list, they are usually very similar to one of the programs listed above. ----------------------------------------------------- Use Cases ----------------------------------------------------- Within healthcare organizations, I've worked with the following types of data: • Claims • Medicare • Billing • App/Website Usage • Provider • Patient • Financial/accounting • IT/ticketing • HR/Healthcare Employee • Marketing/Sales/CRM • Healthcare Inventory • Integrating Census data into internal organizational data sources I'm happy to hop on Zoom to chat about your project and needs! P.S. I am extremely active on LinkedIn, so please feel free to connect with me.

Power BI Specialist | Excel Automation | SQL & R/Python Analytics | Data Visualization Expert Transforming raw data into powerful insights with Power BI dashboards, DAX, and Power Query. I design intuitive, interactive reports that drive smarter decisions and business growth. Beyond Power BI, I bring advanced skills in Excel automation (VBA & formulas), SQL database design (MySQL, Access), and statistical analysis (R, Python, SPSS, Minitab, ggplot)—ensuring end-to-end data solutions from storage to visualization. Passionate about crafting data-driven stories, I help organizations uncover trends, solve challenges, and act with confidence. I can do your work more accurately and effectively, because I am a graduate in BA. Statistics in Sabaragamuwa university of Sri Lanka. Introduction to statistics • Data Analysis & Visualization with Power BI (interactive dashboards, Power Query, DAX, automation) • Analysis using EXCEL, SPSS, Eviews, MINITAB, Power Bi, R Programing, Python & R Studio, Access, MySQL • Descriptive statistics (mean, median, mode, variance, standard deviation) • Graphs including (Bar chart, Pie chart, Histogram, Scatter diagram) Also I do Analytics/ Dynamic / interactive dashboard Excel, R , Python and Power Bi Programming using python and R - Regression( linear \ logistics, ponominal), Machine learning, Deep learning, Supervise learning & unsupervised learning like as Decision tree, random forest, clustering, classification, svm and Time series analysis. • Hypothesis testing • T-test (one & two sample t-test) • Chi-square test, Goodness of fit test of independent • Confidence interval estimation • Probability, correlation and regression analysis • Unit Root test • Stationery Test • Design of experiments (ANOVA & factorial design) • Non parametric test • Excel and power bi Dashboard • Apply formulas/Advance Filter • Spreadsheet Excel data entry and formatting • Conditioning Formatting • Removing duplicates in MS Excel • All other statistics mathematics & data analysis So why are you waiting for? Feel free to contact me in anytime.... Thank you....

I’m a Japanese freelancer with a strong focus on data analysis and data-driven problem solving, supported by hands-on experience with Python, R, and Microsoft tools.

𝗜𝗳 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗲𝗮𝗿 𝗱𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀, 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁/𝘀𝗲𝗰𝗼𝗻𝗱 𝘃𝗶𝗲𝘄 𝗳𝗼𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀/𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀, 𝗰𝗹𝗲𝗮𝗿 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗮𝗻𝗱 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂 𝗱𝗮𝘁𝗮 - 𝘆𝗼𝘂'𝘃𝗲 𝗰𝗼𝗺𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗽𝗹𝗮𝗰𝗲. rich experience; attention to details; timely completion; clear insights, basic and advanced analysis/statistics/visualisation for business and academic purposes; 12 years experience, 200+ successful projects, each client was satisfied. I serve both 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 providing analysis based on the most suitable approaches and tests. 𝗜 𝗮𝗹𝘄𝗮𝘆𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝘀𝘁𝗼𝗿𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗲𝗮𝗿 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗽𝗼𝗶𝗻𝘁𝘀. All my clients receive comprehensive support: full documentation, visualization, and ongoing assistance. In addition for 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗜 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗿𝗼𝗯𝘂𝘀𝘁 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗳𝗼𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴: Clinical trial analysis; Dissertation and thesis statistical analysis; Preparation for peer-reviewed publications and handling reviewers’ comments; Research design consultation; Complex analysis according to all academic standards with documentation. 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘁𝗼𝗼𝗹𝘀: R (primary),Excel, Python, SPSS, Stata, EViews Visualization: Excel, Power BI, Tableau. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Survey Analysis, SEM, CFA, EFA, Multigroup CFA, Regression Analysis, Moderation, Mediation, Time Series, Predictive Modeling, Cluster Analysis, Churn/retention, Sales forecasting, demand prediction, Market segmentation, Customer behavior analysis, Performance metrics, KPI development and many other. I consistently go beyond the initial scope to extract maximum insights, identifying patterns that provide additional value. Every analysis includes clear explanation of methodologies and results, ensuring you can confidently use the findings. 𝗟𝗲𝘁'𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗻𝗲𝗲𝗱𝘀. 𝗜 𝗮𝗹𝘄𝗮𝘆𝘀 𝘄𝗶𝗹𝗹 𝗳𝗶𝗻𝗱 𝗮 𝘄𝗮𝘆 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂.

With a Ph.D. in Industrial/Organizational Psychology and a Master's in Applied Statistics and Data Analytics, I bridge data science and organizational strategy. I specialize in turning complex, multi-source data into clear, defensible insights that support decision-making across business, HR, research, and financial contexts. I've worked with performance, sales, engagement, and survey datasets to develop KPIs, surface patterns, build predictive models, and automate reporting pipelines that produce clean, branded outputs. I also do independent validation and methodological review, pressure-testing survey instruments, models, and AI-generated data to tell clients honestly where the work holds up and where it doesn't. My toolkit spans data cleaning, visualization, and predictive modeling in Python, R, SQL, and Excel, with deep experience in survey design, psychometrics, and text analytics. I can help you with: *Data Cleaning, Validation & Integration – Building reliable, analysis-ready datasets from multiple sources. *Validation & Methodological Review – Independent benchmarking, psychometric and content validation, and honest assessment of frameworks, assessments, and meausres. *KPI & Dashboard Development – Defining and visualizing performance metrics that align with strategy. *Survey Design & Workforce Analytics – Designing and analyzing surveys for employee experience, leadership, and DEI. *Predictive & Statistical Modeling – Regression, SEM, and machine learning for forecasting and insight. *Data Storytelling & Strategy – Turning analytics into narratives and recommendations for executives and teams. My goal is simple: to make analytics practical, reliable, and strategic, helping organizations turn data into smarter action.

The reason your AI project is stuck probably isn't the AI. It's the seam between the model, the data feeding it, and the app around it, and that seam is exactly where most engineers tap out, because they only do one of the three. That seam is where I'm strongest. I'm a senior engineer who works across AI, data, and full-stack, and the jobs I get pulled into are the ones where a smart idea or a half-built prototype needs to become something real that holds up with actual users on it. A few things ten years of this teaches you. The hard part of an AI agent isn't the model, it's the termination logic that stops a loop before it burns your budget at 2am, and the line between what the agent does on its own and what a human sees first. The hard part of a data project isn't the pipeline, it's that five systems each define "customer" differently, so the CEO asks one question and gets five answers. And the hard part of inheriting a six-year-old codebase is that the reasons live in one person's head, which is why the original estimate triples the moment you start. I design around all three because I've been burned by all three. What I actually do: AI / ML — LLM and agent development (tool-use agents, production RAG over your data, AWS Bedrock, Claude, OpenAI, LangChain), classical and predictive ML, forecasting, reinforcement learning for sequential decisions, model development, fine-tuning, and AI integration into existing products. Built to production standards, not notebook demos. Data — warehouse and lakehouse architecture, ETL/ELT, dbt, BigQuery, SQL and NoSQL, data modeling, and the analysis and BI layer (Power BI, dashboards, reporting executives actually trust). The full path from raw data to a number someone can make a decision on. Full-stack — React, Next.js, Node.js, Python (Django, FastAPI), AWS, Docker, CI/CD. MVPs that ship in weeks, enterprise systems that don't fall over, and takeovers of code nobody documented. The common thread: I build the thing that runs on Monday and still runs the Monday after, not the demo that wins the meeting and breaks in week three. Got an idea, a stalled build, or an AI feature that works in testing and scares you in production? Message me with "IDEA" and tell me what you're building. You'll get a free 30-minute audit and a straight plan, plus the specific failure modes most developers don't see coming, the ones that cost almost nothing to design around now and a painful rebuild once they're baked in. Better to spot them before you build than after.