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.

Hello! I am experienced in Microsoft Excel spreadsheets for more than 10 years, doing all types of functions, formulas, formatting, analysis and graphing. Also, I am R Programming certified from Coursera and earned a professional certificate from Michigan based center for Basics of Machine Learning using Python. Thus, I can do Data Science and Wrangling work on both Python & R languages Moreover, I am proficient in using advanced Excel Analytics (Power Pivot, Power Query, Data Modelling) and Microsoft Power BI for visualization, dashboards and DAX. Moreover, I can create dashboards using Google Data Studio Finally, I can do Statsitics in any of R, Python or Excel.

With 11 years experience in data science. My experience as Data Scientist made me familiar with gathering, cleaning, and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic, and other analytical techniques. Profile Nvivo, CrowdTangle, Python, Machine Learning (supervised and unsupervised learning), NLP, R, SQL, Matplotlib, SQL Server, Power BI, Microsoft Excel, Power Pivot, MATLAB, MySQL, MongoDB, APIs, NumPy, Sci-kit learn, Statistics, Mathematics, Hadoop ecosystem and Spark development, linear - logistic regression, Pendas, seaborn, statsmodels (acf, pacf plots), imblearn, ipywidgets, scipy, plotly HTML, CSS, JavaScript, Java, Node.js, Express, TypeScript, Selenium, BeautifulSoup,

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.

Expert-Vetted Gen AI Engineer | Harvard and Columbia Alumni (Top 1% of Freelancers on Upwork) I am a highly experienced Generative AI Engineer who has worked with clients across multiple industries including finance, academia, e-commerce, construction, medicine, and web design. I provided high-quality solutions for all of my clients, earning me outstanding reviews and a 100% Job Success Rating. My areas of expertise include Large Language Models (LLMs), Generative AI, Chatbots, Data Science, AI Dashboard Development, Natural Language Processing, Data Visualization, and Statistics. In addition to my experience as an AI Engineer, I also have deep knowledge in grant writing, academic publishing, and clinical data analysis, having both written successful NIH and biotech grants and published 10+ manuscripts in high-impact academic journals such as Nature and Gastroenterology. SKILLS: * Extensive Experience with Prompt Engineering with many different LLMs such as OpneAI, Claude, Mistral, Gemini, Llama, Gemma, CodeLama, and Vicuna. * Built 20+ AI dashboards with Streamlit, Gradio, and HuggigngFace for clients to easily access solutions * Created Vector Databases and Retrieval-Augmented Generation Software to train LLMs on personal data such as PDFs, Word Documents, YouTube Videos, Images, and Excel Spreadsheets. * Proficient in leading AI solutions to production using AWS, GitHub, Langchain, LlamaIndex, LangSmith, LangFuse, and other AI tools. * Strong background in programming languages (Python, R, Javascript, SQL) and Data Science/Machine Learning frameworks (TensorFlow, Keras, PyTorch, scikit-learn, numpy, pandas) * Expertise in EHR, ICD-10 codes, clinical database management, clinical data analysis, and HIPAA compliance * Experience with Business Intelligence platforms such as Tableau, PowerBI, and Excel PROJECTS/ACCOMPLISHMENTS: * Co-Founder and CTO of a biotech company, Daldot which was acquired by Nutromics, an Australian MedTech company in 2021 * Developed the AI Algorithm for Shopify App that gained 10K+ users within a month * AI TikTok Influencer with 10K+ followers and 1M+ likes * Columbia University SEAS GSA Black History Month Alumni Spotlight 2023 * 2nd Place in the Columbia University Data Science Institute COVID-19 Data Challenge * Published 10+ manuscripts in high-impact journals such as Nature and Gastroenterology SPEAKING ENGAGEMENTS: * Guest Lecturer at Columbia University, Cornell Tech, Roux Institute, and Founder Institute for entrepreneurship, AI, and freelancing. * Developed a course on emotional intelligence for startup founders at Harvard University with 1,000+ students enrolled. * Presented research at the American Society of Clinical Oncology (ASCO) and Columbia University Data Science Institute Machine Learning in Science & Engineering Conference. EDUCATION: * Master's in Data Science from Columbia University * Bachelor's in Biophysics from Harvard University I have a 100% success rate in provided top-tier solutions across diverse sectors. Whether you need a custom solution or expert guidance, I am committed to leveraging the power of AI to elevate your business to the next level. Let's innovate together!

Hey, Welcome to my profile. I am Mathematician and Statistical Data Analyst. I am a PhD. Scholar in Mathematics and I have completed my Master's degree in Mathematics and Statistics from a prestigious university. I can thereby teach you and solve your problems which helps you to understand concepts of Statistics and Probability. I am highly experienced and skilled in carrying out qualitative and quantitative data analysis for research and project works as well as providing a report and interpretation of results. I can help you with: 1) Data entry 2) Basic statistics (mean, median, mode, range, variance, standard deviation etc.) and Descriptive statistics (frequencies, descriptive and Cross tabs) 3) All types of Graphs 4) Bayesian Statistics 5) Hypothesis testing 6) Recoding variables into same and different variables and Compute Variables 7) Dummy variables, Custom Tables, Case summaries, Cross-Tabs with Clustered Bar charts 8) Correlation and Regression analysis 9) Non-Parametric tests 10) Split Cases, Multiple Response Variable Analysis 11) Factor Analysis 12) Cluster Analysis 13) Reliability Analysis 14) Mediation and Moderation Analysis 15) Different types of Regression Analysis TOOLS SPSS ,Excel, MINITAB, EViews, STATCRUNCH, RStudio, STATA, Python WHY CHOOSE ME? Quality Work. Delivery less than 24 hours. 24/7 availability Fast Response On-time delivery Customer satisfaction is priority I look forward to working with you!

🥇 EXPERT-VETTED TOP 1% ON UPWORK | 100% JOB SUCCESS | Data Science and Analytics | Statistical Analysis | Custom Survey Design & Data Analysis | Predictive Modeling | Classification Modeling | Business Analysis | Market Research and Analysis | Topic Research and Modeling Thank you for taking a look at my profile here on Upwork! I would love the opportunity to help you answer the questions you need to answer or solve the problems you need to solve. The kinds of clients I work with most often: ✅Have a lot of data, but don’t know how to unlock the insights hidden inside it ✅Know the specific questions or problems they’re hoping to solve with their data, but need help on the technical side with data wrangling and modeling ✅Need to build out a forecast, classification, ranking, or impact model, but aren’t sure where to begin ✅Are students (DNP, PhD, etc.), researchers, or survey designers who need help with statistical analysis ✅Need help organizing and visualizing their data in a way that can clearly and effectively communicate key information ✅Are seeking help to design an analytical methodology, but plan to do the actual analysis in-house Ultimately, regardless of the industry or specific context or circumstance, what my clients want (and what I am able to successfully provide them) are the answers, insights, patterns, and connections that can be illuminated through thoughtful, creative, and intelligent data analysis. The reviews of my work have been extremely positive. . . "𝗕𝗲𝘀𝘁 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 𝗜'𝘃𝗲 𝗲𝘃𝗲𝗿 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵, 𝗮𝗻𝗱 𝗜'𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 𝗵𝘂𝗻𝗱𝗿𝗲𝗱𝘀.” - Biotech company financial forecast model "𝗙𝗿𝗼𝗺 𝗮 𝘀𝗸𝗶𝗹𝗹 𝘀𝘁𝗮𝗻𝗱𝗽𝗼𝗶𝗻𝘁, 𝗘𝗿𝗶𝗻 𝗶𝘀 𝘂𝗻𝗽𝗮𝗿𝗮𝗹𝗹𝗲𝗹𝗲𝗱. 𝗛𝗲𝗿 𝗸𝗲𝗲𝗻 𝗶𝗻𝘁𝗲𝗹𝗹𝗲𝗰𝘁 𝗮𝗻𝗱 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗵𝗮𝘃𝗲 𝗯𝗲𝗲𝗻 𝗮 𝘁𝗿𝗲𝗺𝗲𝗻𝗱𝗼𝘂𝘀 𝗮𝘀𝘀𝗲𝘁 𝘁𝗼 𝗼𝘂𝗿 𝘁𝗲𝗮𝗺." - Tech-forward real estate company algorithm development "𝗘𝗿𝗶𝗻 𝘄𝗮𝘀 𝗮𝗯𝗹𝗲 𝘁𝗼 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁 𝗼𝘂𝗿 𝗼𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀 𝗮𝗻𝗱 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗲 𝘁𝗵𝗮𝘁 𝗶𝗻𝘁𝗼 𝘄𝗼𝗿𝗸 𝘀𝘁𝗿𝗲𝗮𝗺𝘀 𝘁𝗵𝗮𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗼𝘂𝘁𝗽𝘂𝘁𝘀 𝗮𝗹𝗹 𝗮𝗹𝗼𝗻𝗴 𝘁𝗵𝗲 𝘄𝗮𝘆 𝘁𝗵𝗮𝘁 𝗵𝗲𝗹𝗽𝗲𝗱 𝗮𝗰𝗵𝗶𝗲𝘃𝗲 𝗼𝘂𝗿 𝗼𝘃𝗲𝗿𝗮𝗿𝗰𝗵𝗶𝗻𝗴 𝗴𝗼𝗮𝗹 𝗼𝗳 𝗳𝗶𝗻𝗱𝗶𝗻𝗴 𝘄𝗮𝘆𝘀 𝘁𝗼 𝗼𝗽𝘁𝗶𝗺𝗶𝘀𝗲 𝘁𝗵𝗲 𝗰𝗮𝘁𝗮𝗹𝗼𝗴𝘂𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀. 𝗧𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝘁𝗵𝗶𝘀 𝗶𝘁, 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗮 𝗹𝗲𝘃𝗲𝗹 𝗼𝗳 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝘄𝗲𝗻𝘁 𝘄𝗲𝗹𝗹 𝗯𝗲𝘆𝗼𝗻𝗱 𝗷𝘂𝘀𝘁 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗻𝗱 𝘁𝗵𝗮𝘁 𝗘𝗿𝗶𝗻 𝗽𝗼𝘀𝘀𝗲𝘀𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗴𝗿𝗲𝗮𝘁 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵. " - Online/retail business customer and purchase analysis ✅A bit more about me: My passion, skills, and experience center on the application of data science and analytics to help clients solve business problems, make smart decisions, and uncover truths about people, systems, and organizations. I have worked with clients in a diverse range of sectors and industries including healthcare, pharma, biotech, real estate, management consulting, retail, restaurants, e-commerce, online subscription services, and more. I have also worked with clients in both academia and government and have conducted data science training seminars at the Texas Medical Center, at a major oil and gas company, and elsewhere. ✅Skills & Proficiencies ⋆ Data modeling (linear and logistic regression, machine learning, prediction, optimization models, decision models, simulation, ranking models, classification models) ⋆ Statistical analysis & consulting ⋆ Custom survey design & data analysis ⋆ Quantitative analysis ⋆ Shiny app development ⋆ Data science consulting (e.g. designing methodologies to solve business problems) ⋆ Data team consulting (how to grow your team, who to hire/what to look for, assessments and training) ⋆ Building / optimizing / expanding new or existing data models ⋆ Operationalization / conceptual modeling ⋆ End-to-end data science project delivery, including data capture, modeling, deep analysis, and presentation of results ✅Tools & Platforms ⋆ R ⋆ Shiny ⋆ ggplot2, corrplot ⋆ MS Excel Expert ⋆ Database management systems (MySQL, PostgreSQL, Heroku, etc.) ⋆ Survey platforms (Typeform, Survey Monkey, Fast Ask, Conjointly) ✅Credentials & Professional Experience ⋆ 18+ years in data analytics space which includes: ⋆ 11+ years as a data science and analytics freelance professional ⋆ 2.5 years leading the data solutions team at a marketing strategy firm in Tokyo ⋆ 6.5 years in International Business Development at MD Anderson Cancer Center ⋆ CAP (Certified Analytics Professional) (2014-current) ⋆ MBA from the University of Houston (2013) ⋆ BS in Biology from the University of Arizona (2002) 🌟Does it sound like I might be a good fit? 🤩 Send me a message describing your problem or project, and we can begin discussing how I may be able to help! 🙋🏻‍♀️ Thanks for reading and I hope to hear from you!

I am a Bioinformatics Scientist specializing in genomics, statistical genetics, and AI-powered analysis of biological and medical datasets. I help researchers, biotech teams, and clinicians gain meaningful insights from complex data through robust bioinformatics workflows and machine learning methods. I work across a wide range of genomic and multi-omics datasets — including GWAS, PCA/ADMIXTURE, MR, RNA-seq, WGS, and microbiome data — and use AI/ML to enhance prediction, clustering, feature selection, and interpretation. My focus is on delivering clear, accurate results and straightforward communication. Services I Offer • GWAS, Mendelian Randomization, polygenic & association analysis • PCA, ADMIXTURE, population structure & ancestry inference • RNA-seq, WGS, and microbiome data processing and QC • AI/Machine Learning for genomics & medical datasets • Predictive modeling, clustering, biomarker exploration • Automated pipelines (Python / R / Colab) for scalable workflows • High-quality visualizations & biological interpretation If you have genomic, genetics, microbiome, or clinical data — or want to integrate AI/ML into your biological research — I can help you design and run the analysis you need. I also take on general data-analysis, statistical modeling and ML tasks outside genomics — e.g. medical data, phenotype/demographic data, microbiome data. Feel free to reach out with your dataset and goals.

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.