I provide survey programming solutions on the following platforms: Qualtrics, SurveyGizmo (Alchemer), Typerform, QuestionPro and some of their bretheren. You can see my work at my website: survey-awesome[dot]com Proficient in designing custom solutions across most survey platforms. Survey Custom Code. Reporting. Dashboard. Implementation. Past Experience: I can help you get done whatever you want on Qualtrics, Alchemer and other survey platforms. I've helped develop psychological experiments, market research surveys, organizational research and others. Survey Development: I have experience on working with various panels such as MTurk, Prolific, Fivver, Cloud Research. I have developed custom solutions, so that you don't have to pay for their extra services, and can incorporate everything from within Qualtrics and other survey platforms. Dashboard/Reports: I've helped create dashboards and reports for universities and corporates. Some examples include, showing charts based on responses, showing how the respondent is located within the populations.

Currently, I am independently working on deep learning projects that stem from my PhD and Postdoc positions, mostly around African soils. I also spend time coaching graduate students on geostatistics and collaborating with academics from the USA to Pakistan. Now I want to learn more to be more diverse.

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.

Over 10 years of experience developing Business Intelligence, data analytics, and reporting solutions using SQL Server BI Stack, Power BI, Tableau, Microsoft Fabric, Azure Data Factory, Databricks, Azure SQL Database, Azure Data Lake, BigQuery, Firebase, and Google Data Studio. Experience with Microsoft Fabric orchestration and ETL development, including Fabric Pipelines, Lakehouse, Dataflow Gen2, Notebooks, Warehouse, OneLake, medallion architecture, and Bronze/Silver/Gold data processing for analytics and Power BI reporting. Experience migrating SQL databases and on-premise data sources to Azure Data Lake using Azure Data Factory, Azure SQL Database, Azure SQL Data Warehouse, Azure Data Lake Analytics, Databricks, and modern cloud data integration patterns. Experience in database design and Business Intelligence development using SQL Server 2019, SQL Server Analysis Services, DAX, MDX, OLAP Cubes, SSAS Tabular Models, Star Schema, and Snowflake Schema. Experience managing database security, controlling access, granting permissions, and supporting data governance across SQL Server, Azure SQL, Fabric workspaces, and reporting environments. Experience with Microsoft Power Apps, including integration with SQL Server tables as a data source and storage layer for business applications. Generated ad hoc reports using Excel Power Pivot, Power Query, and Power BI to support critical business decisions and stakeholder reporting. Experience with Microsoft Reporting Services, Power BI dashboards, Crystal Reports, SSRS, SQL Server on-premise reporting, and SSAS Tabular models using DAX and MDX. Proficient in building complex SSIS packages for data transformation and transferring data from multiple sources into data warehouses based on business logic. Utilized Power BI and Tableau to create analytical dashboards for tracking Sales KPIs, operational metrics, and executive-level reporting, including slicers and self-service reporting features for business users. Implemented Power BI Gateway connections to multiple data sources to support scheduled refresh, semantic modeling, Power Pivot, and Power View reporting. Performed Tableau data preparation and type conversion functions when connected to relational data sources such as Microsoft SQL Server and GitHub. Developed storytelling dashboards in Power BI Desktop and Tableau Desktop and published them to Power BI Service, Power BI Report Server, and Tableau Server for end-user consumption.

**************Genomics & Informatics Lab (GIL) ***************** **************Your Trusted Partner in Advanced Bioinformatics & AI-Driven Multi-Omics****** I lead a distinguished team at Genomics & Informatics Lab (GIL), specializing in Biotechnology, Bioinformatics, Computational Biology, and AI-powered Multi-Omics. At GIL, we offer a comprehensive suite of cutting-edge services tailored to meet the evolving demands of genomics, transcriptomics, proteomics, metagenomics, pharmacogenomics, and precision medicine. Our Expertise: AI-Powered Bioinformatics & Multi-Omics Data Analysis 🔬 1. Bioinformatics & Genomics: AI/ML-powered Next-Generation Sequencing (NGS) data analysis Comparative & Population Genomics for evolutionary insights Genetic variant detection & annotation Functional Genomics (Gene Ontology, KEGG Pathway analysis) Phylogenetics & Evolutionary Genomics miRNA structure prediction & target analysis 🧬 2. AI-Driven Transcriptomics & Epigenomics: RNA-Seq & Single-Cell Transcriptomics Differential Expression & Alternative Splicing Analysis Epigenomics: DNA Methylation & Histone Modification Analysis 💊 3. Computational Pharmacogenomics & Precision Medicine: AI-assisted drug-gene interaction prediction Pharmacogenomic modeling for personalized medicine Toxicogenomics & Drug Response Prediction 🦠 4. Metagenomics & Microbiome Data Science: Whole-genome & 16S rRNA sequencing-based microbiome analysis Microbiome-host interaction modeling AI-powered taxonomic & functional profiling ⚛ 5. AI in Structural & Systems Biology: Protein-Protein Interaction Analysis & Docking Molecular Dynamics (MD) & Simulation Studies AI-driven protein structure prediction (AlphaFold, Rosetta, etc.) 🤖 6. AI & Machine Learning in Multi-Omics Integration: Deep learning for biomarker discovery Multi-omics data integration (Genomics, Proteomics, Metabolomics, Epigenomics) Network-based systems biology approaches 🚀 State-of-the-Art Computing Infrastructure GIL is equipped with high-performance computing (HPC) clusters, multi-core processing, and cloud-based analytics, ensuring scalable, fast, and accurate bioinformatics solutions. 💡 Why Choose GIL? ✅ Expert Team: Decades of experience in computational biology & AI ✅ Cutting-Edge Technologies: AI, ML, and HPC-powered analytics ✅ Proven Track Record: Successful projects in academia & industry ✅ Custom Solutions: Tailored pipelines for diverse research needs Let GIL be your trusted partner in advancing your research! Contact us today to explore how we can support your next breakthrough in computational biology and AI-driven bioinformatics. 🔍💻🧬

✨ Upwork Expert-Vetted & 𝐓𝐨𝐩 𝐫𝐚𝐭𝐞𝐝 𝐩𝐥𝐮𝐬 (Top 1%) ✨ 100 % Job Success in large Projects Senior Data Scientist with a combined 6+ years of experience [𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐒𝐨𝐜𝐢𝐚𝐥 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐓𝐨𝐮𝐫𝐢𝐬𝐦, 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 Industries] I help businesses maximize their growth potential through data-driven solutions and assist Tech teams to build robust ML solutions from real-world Sensors and Time Series data. I specialize in Feature Engineering, Event Detection, and Predictive Modeling, with a strong focus on model reliability and uncertainty estimation. I also deliver clear Technical Reports, Presentations and decision focused documentation that bridge research and product. EXPERTISE - Research | Custom Technical Reports (Text + Figures + Interpretation) | Code/Scientific Documentation. - Data Analytics: Data Cleaning, Exploratory Analysis, and actionable Insight generation. - Designing, Training and Evaluating AI/Machine Learning models. - Collecting, Cleaning and Managing data and databases. - Developing the data and result into a format easily representable to other employees, investors, and other researchers. SKILLSET ✅ Time Series Analysis (Sensors/ Signals, Accelerometer ...) ✅ Biological Signals: Heart and Breathing, Temperature, Muscle activity, Brain activity, Blood Pressure, Oxygen levels and Body Composition. - Trend/ Behavioral Analysis and Profiling. - IoT/Sensor Data Diagnostics - Anomaly Detection - Exploratory Data Analysis - Scoping sessions and Data‑Quality assessments ✅ Python (Pandas–Scikit-learn–Numpy–Scipy, Seaborn–Keras–Pytorch–TensorFlow). ✅ R (ggplot2–dplyr–tidyr –caret–Shiny–Tidyquant). ✅ Machine Learning Algorithms (PCA, K-means, Random Forest, XGboost, Logistic Regression, SVM, etc..). ✅ Deep Learning (Neural Networks, CNN, RNN, ...) also the tools: - SQL/No-SQL: MongoDB, MySQL. - Tableau | Power BI. - MATLAB | R-studio. - Git - C/C++ I'm adaptable, quick, and reliable, with a sharp eye for details and excellent communication skills (6 languages). I'm eager to help you solve any data science challenges you might have. ------------------------------------------------------------------------------------------------------------------------- Testimonials from some of my clients: ✨ "Working with Faten was effortless. She is dependable, while also incredibly collaborative. Her dedication to work and ability to deliver consistently on-time and beyond expectations render her invaluable for any project. I highly recommend Faten to anyone seeking a skilled, reliable and communicative Machine Learning Engineer and or Data Scientist for their next initiative." ✨"Faten is very professional - prompt feedback, clear communication, and easy to work with. Would recommend working with Faten on ANY project!" ✨"It was an absolute pleasure to work with Faten. She is super clear on communication and has a creative curiosity about all projects. She is a brilliant soundboard and fits into the projects, regardless of where she is asked to assist. She always adds value. I will recommend her without reservation"

Most businesses are sitting on valuable data they never actually use. I help turn that data into predictive models, intelligent systems, and decisions that improve revenue, reduce risk, optimize operations, and uncover new opportunities. From customer churn and demand forecasting to revenue analytics, financial forecasting, anomaly detection, and AI automation, I build data science solutions that solve real business problems. I focus on outcomes, not just models. Every solution is designed to fit into your existing workflow and deliver insights your team can act on immediately. 100% Job Success Score. Top Rated on Upwork. 5-star reviews across every completed engagement. If your business is generating data, there's probably an opportunity hidden in it. Let's find it.

Most SMB founders I talk to have the same problem. Their numbers live in five places. Shopify, QuickBooks, Google Ads, a couple of spreadsheets, sometimes whatever the bookkeeper sends over on Fridays. By the time anyone has a clear picture of what's happening, the month is over. I fix that. I build dashboards in Power BI, Looker Studio and Tableau so you can open one tab in the morning and actually know where the business stands. I'm Top Rated on Upwork with 100% Job Success. Most of my work is for founders, ops leads and finance teams at small and mid sized companies. Two areas I focus on: Finance and portfolio reporting. Revenue, gross margin, cash runway, receivables, cost per employee, client concentration risk. The kind of dashboard a CEO opens before a board call. Marketing performance. Spend, CTR, CPC, conversions, cost per conversion, search term breakdowns. Connected to GA4, BigQuery, Google Sheets, or whatever your stack actually is. A few things I've built recently: A finance dashboard for an investment company that holds several tech services businesses. Power BI on the front, Google Sheets and Apps Script doing the data collection in the background. Leadership uses it to track liquidity and portfolio health across all the companies they've invested in. A marketing performance dashboard in Looker Studio for a paid ads team. GA4 and BigQuery feeding it. They use it to spot underperforming campaigns and move budget before the spend gets wasted. A sales and fulfillment dashboard in Power BI for a distributor. Category drill downs, order volumes on a map, on time and in full delivery tracking by city. Tools I use day to day: Power BI, Looker Studio (Google Data Studio), Tableau, R Shiny, DAX, Power Query, Google Apps Script, GA4, BigQuery, Google Sheets, Microsoft Excel. How I work. I'm based in Karachi and available around 20 to 30 hours a week. First call is free, 20 minutes, no sales pitch. If we move forward you'll see a working version of the dashboard inside the first week on most projects, not after a month of silence. What I don't take on. One off "fix this chart in Excel" jobs, unverified clients, or projects where there's no clear decision maker on your side. I'd rather pass than overpromise and damage my track record. If you've got data in too many places and a decision you keep putting off because the numbers aren't clear, send me a message. Tell me what you're trying to figure out, not which tool you want. I'll tell you straight if I can help.

Versatile data professional with extensive experience in data analysis, team leadership, and statistical research. Skilled in data extraction, web scraping, and advanced analytics across multiple domains, with a strong background in mathematics and project management. Mathematician. Likes puzzles.

I am Muhammad Arfan, a highly motivated Statistician and Data Scientist from Pakistan, holding an M.Phil. in Statistics from the University of the Punjab, Lahore. With over 10 years of professional experience, I specialize in statistical analysis, data science, and intelligent data-driven solutions. I have strong expertise in data analysis, interpretation, report writing, and thesis supervision, helping individuals and organizations convert complex datasets into actionable insights and strategic decisions. My expertise spans across: Statistical Analysis & Mathematical Modeling Machine Learning & Predictive Analytics Artificial Intelligence (AI) & Deep Learning Data Science & Big Data Analytics Data Visualization & Dashboard Development (Power BI, Excel) Econometrics & Business Data Analysis Time Series Forecasting & Advanced Modeling Multivariate Analysis, ANOVA, MANOVA & Hypothesis Testing Survival Analysis & Statistical Quality Control Sampling Techniques & Survey Design I am proficient in a wide range of tools and technologies, including: Python (Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch) R & RStudio SPSS, Stata, SAS, EViews, Minitab Microsoft Excel (Advanced Analytics & Dashboards) Power BI for Business Intelligence and Visualization In addition, I provide professional tutoring and mentorship in statistics, data science, and programming (R & Python), supporting learners from beginner to advanced levels. I am passionate about applying AI, machine learning, and deep learning techniques to solve real-world problems, build predictive models, and deliver high-quality, data-driven solutions.