I'm a bioinformatics programmer and software engineer with a strong background in developing scalable, reproducible pipelines and scientific software for genomics and computational biology. I specialize in translating complex biological problems into efficient, production-ready code, using tools like Nextflow, R, C++, and Python, with deep experience in data analysis, algorithm development, and infrastructure design. Previously, I worked at UCSF’s EPPIcenter, where I developed bioinformatics tools and pipelines for malaria surveillance and public health research. My work has resulted in a published modular amplicon sequencing pipeline for Plasmodium falciparum that enables sensitive detection of drug-resistance markers, even at low parasitemia levels. I’ve optimized primer trimming, demultiplexing, and false positive filtering with custom Cutadapt workflows and DADA2 calibration, and I’ve built robust sample management systems using R Shiny and SQLite. Before UCSF, I spent several years at Thermo Fisher Scientific developing analytical tools for flow cytometry instruments and maintaining legacy C++ applications. I also contributed to C++ algorithms for haplotype phasing and did Hi-C analysis for cancer genomics research during my graduate studies. My toolset spans across programming, cloud computing, containerization, and workflow management. I'm comfortable working in both research and industry environments, and I thrive at the intersection of biology, computation, and engineering. What I can help you with: * Building and optimizing bioinformatics pipelines (e.g., Nextflow, WDL) * Amplicon sequencing analysis, variant calling, and microbial genomics * Custom R packages, Shiny dashboards, and scientific visualizations * High-performance C++ code for scientific computing * Cloud-native and containerized solutions (Docker, Apptainer) * Data wrangling and statistical analysis in R and Python * Integrating sequencing analysis with database backends (PostgreSQL, SQLite) Whether you're a lab needing help making sense of your sequencing data, a researcher looking to productionize your prototype analysis, or a company needing robust scientific infrastructure, I bring a mix of software engineering and domain-specific knowledge to get your project across the finish line.

A skilled statistician and biostatistician specializing in statistical analysis and healthcare research. Delivered publication-ready results for diverse projects including NHANES arthritis studies , biometric data assessments, and complex analyses in pediatric ICU studies . Proven proficiency in R, SPSS, Stata, SAS,Python, and Excel, and advanced statistical methods, contributing to over 200 completed projects. I have helped clinical researchers, PhD and MSc researchers, and business owners. My expertise includes working with datasets from surveys, clinical studies, and public databases like NHANES, CDC, DHS, and IPUMS. My rigorous analysis is designed to withstand peer review and inform strategic business decisions. Statistical Analysis Services: - Linear, Logistic, and Multinomial Regression Analysis - Repeated Measures ANOVA and Mixed Effects Models - Survival Analysis (Cox PH, Kaplan-Meier) - Survey Data Analysis (SurveyMonkey) - Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) - Longitudinal Data Analysis and Multilevel Modeling - Latent Class Analysis using R or STATA - Power Analysis and Sample Size Calculation - Missing Data Imputation (MICE) Data Mining Expertise: - NHANES (National Health and Nutrition Examination Survey) - CDC Wonder, MEPS and NIHS - DHS (Demographic and Health Surveys) - IPUMS (Integrated Public Use Microdata Series) Software Proficiency: - R (RStudio, tidyverse, ggplot2) - IBM SPSS, Stata, SAS - Python (Jupyter, scikit-learn) - Excel With a Master's degree in Statistics, specializing in Biostatistics, and over 8 years of experience, I have completed more than 200 projects on Upwork, achieving a 96% job success score and an average rating of 4.8. My analyses have contributed to successful journal publications, DNP projects, and strategic business decisions. Ready to start? Send me your dataset or a brief description of your project. Thank you, Daniel

Biostatistician of 3 years with 13 years of collective data analysis experience and proven track record of delivering data-centered narratives (15 published articles) in diverse disciplines from -omics to healthcare research. My go-to tool is R/R-studio, I favor Bayesian methods, and I take pride in delivering expert-level services. Expert-level services: * Data management, analysis, and visualization * Review and editing academic writing (protocols, posters, abstracts, manuscripts, dissertation) * Study design consultation (power analyses, Bayesian operating characteristics) * 1:1 mentorship and training on R coding, research methods, project management, data management Skills: R/R-studio, Data analysis, Project management, Database development (REDCap expert), Dashboards (PowerBI) , Data wrangling, Bayesian methods, Monte Carlo Simulations, Causal Inference (propensity scores, standardization, difference-in-difference-DiD, synthetic controls) Credentials: * Practicing biostatistician that leads clinical trials, observation, and quality improvement studies in the area of oncology at a cancer institute * PhD in quantitative biology * 16 peer-reviewed publications in the areas of surgical oncology, medical oncology, quantitative genetics, evolutionary physiology, genomics, gene expression, and study design.

I help research teams and biotech companies turn complex clinical and genomic data into clear, publication-ready insights. With a unique background as a former dentist, I don't just see the numbers; I understand the clinical context behind them. I specialize in designing and executing hypothesis-driven research projects. My work begins with processed genomic or clinical data (e.g., from TCGA, GEO, or your own lab), from which I generate deep biological insights using advanced statistical and machine learning models in R. My Core Services: Bioinformatics & Genomics: Downstream analysis of large-scale datasets (TCGA, GEO), gene expression & RNA-Seq analysis, and biomarker discovery. Clinical Biostatistics: Survival analysis (Kaplan-Meier, Cox Models), clinical trial data analysis, longitudinal studies, and analysis of real-world data (EHR). Machine Learning: Building and validating predictive models in R (tidymodels, caret) to stratify patients or predict clinical outcomes. Data Visualization & Reporting: Creating clear, publication-quality figures (ggplot2) and interactive dashboards (Power BI) that tell a compelling story. If you need a research partner who can handle the entire high-level data analysis portion of your project—from hypothesis to publication—let's connect.

Data Scientist & Statistician of experience in R, Python, SPSS,Excel،Power BI and SQL. I specialize in machine learning, predictive modeling, biostatistics, clustering, classification, and data visualization. R Packages: tidyverse, tidymodels, dplyr, ggplot2, caret, randomForest, glmnet, xgboost, nnet, lme4, forecast, data.table, readr, stringr, Shiny, Quarto, R Markdown and much more Python Packages: pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn, plotly, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost. Other Tools: SPSS, SAS, Minitab,Power BI, PASS, Microsoft Excel/Office, SQL, Power BI etc... I deliver clean, reproducible, and decision-ready analytics — from statistical modeling and survey analysis to machine learning pipelines and dashboards.

"Maria Elisa is a very professional person, with solid skills, I enjoyed working with her. She met all deadlines, and his skills were strong. She develops her work in a rigorous and creative way. I will certainly work with her again if another project arises in her area, I recommend her 100%." "Communicative, clear and precise in what she does. She is quick to respond and succinct, and willing to think big picture while working with detail." Do you need to explore and summarize your data in a simple way? As a graduate in statistics I have worked over the past 10 years with different types of data and varied approaches. Tell me what information you want to analyze or obtain, and let's find the answers that will allow you to make better decisions. Also, if you want to find a mentor to start working through upwork, I would love to guide you step by step. I can teach you all my secrets to be succesfull.

⭐ Top-Rated Freelancer on Upwork 💯 100% Job Success Score 📊 50+ Successfully Completed Projects 🎓 IBM Certified – Data Visualization with R 🎓 IBM Certified – R for Data Science 📈 Google Analytics Certified ⚡ Fast Response Time 📑 Publication-Ready Reports 🔄 Fully Reproducible Analysis 🤝 Long-Term Client Relationships Are you looking for a Data Analyst who delivers accurate, publication-ready, and business-focused statistical analysis? With 5+ years of experience, I help researchers, businesses, healthcare professionals, and policy organizations turn complex data into reliable insights through econometrics, biostatistics, predictive modeling, forecasting, financial modeling, and statistical analysis. I've supported PhD researchers preparing for dissertation defenses, economists conducting policy evaluations, healthcare professionals publishing clinical research, and businesses making data-driven decisions. My focus is simple: select the right methodology, validate assumptions, and deliver results that are easy to understand, reproduce, and defend. I provide end-to-end data analysis using rigorous statistical methods tailored to your project. 🎓 Academic Research & Dissertation ⮞ Research Design & Methodology ⮞ Chapter 3 Statistical Support ⮞ Data Cleaning & Preparation ⮞ Hypothesis & Assumption Testing ⮞ Regression Analysis ⮞ Results Interpretation ⮞ APA Reporting 📈 Econometrics & Forecasting ⮞ OLS & Multiple Regression ⮞ Logistic & Poisson Regression ⮞ Panel Data Analysis ⮞ Fixed & Random Effects ⮞ Difference-in-Differences (DiD) ⮞ Instrumental Variables (IV) ⮞ Time Series Analysis ⮞ ARIMA Forecasting ⮞ VAR & Cointegration ⮞ Policy Evaluation 🧬 Biostatistics & Healthcare ⮞ Survival Analysis ⮞ Kaplan–Meier Curves ⮞ Cox Regression ⮞ Longitudinal Analysis ⮞ Mixed & Multilevel Models ⮞ Clinical Trial Statistics ⮞ Epidemiological Analysis 💼 Business & Financial Analytics ⮞ Financial Modeling ⮞ Revenue & Cash Flow Forecasting ⮞ Predictive Analytics ⮞ Business Intelligence ⮞ KPI Reporting ⮞Risk Analysis 💻 Software 📊 R | 📈 Stata | 🐍 Python | 📉 SPSS | 📚 SAS | 📊 EViews | 📄 Excel | 📋 Power BI 📂 Recent Projects Some projects I've completed include: 📊 SPSS Polynomial Regression with Outlier & Cook's Distance Analysis 📈 Statistical Analysis & Regression Consulting 💰 Cash Flow & Income Statement Forecasting Model 🌐 Network Collaboration Analysis Between Influencers 📑 Statistical Insights & Research Report Development 📚 Hierarchical Linear Modeling (HLM) Analysis – CK & TGFU 🌟 Client Reviews ⭐⭐⭐⭐⭐ "Finished my work in a day!! Very efficient and thorough in understanding what I needed!! Thank you, Siraj!" ⭐⭐⭐⭐⭐ "Siraj was easy to communicate with and tries his best to accommodate the client's needs." ⭐⭐⭐⭐⭐ "Siraj answered all my questions completely and quickly. He was very helpful in creating Poisson models." ⭐ What Makes Me Different? I don't simply run statistical software—I solve research and business problems. Every project includes careful data preparation, assumption testing, appropriate model selection, clear interpretation, reproducible code, and well-documented results. If a simpler model provides a stronger answer, I'll recommend it. My priority is delivering analysis that is statistically sound, transparent, and easy to defend. 📩 Have a dataset, research question, or deadline? Send me a message. I'll review your project, recommend the most appropriate analytical approach, and let you know how I can help. Data Analysis | Statistical Analysis | Data Analytics | Data Science | Econometrics | Biostatistics | Regression Analysis | Predictive Modeling | Statistical Modeling | Forecasting | Time Series Analysis | Panel Data Analysis | Financial Modeling | Financial Analysis | Business Analytics | Quantitative Research | Research Methods | Dissertation Data Analysis | Thesis Statistics | Academic Research | Clinical Data Analysis | Healthcare Analytics | Survival Analysis | Econometric Modeling | Policy Analysis | Data Visualization | R | Python | SPSS | Stata | SAS | EViews | Microsoft Excel | Power BI

Experienced business consultant with over a decade of helping small companies grow. I have 5 yrs + working with teams on data analysis/ML problems. Excellent analytical background paired with a deep business understanding to create solutions to problems instead of just using the latest tools for the sake of using them.

I help researchers, clinicians, and public health organizations turn messy datasets into clean, publication-ready analysis. My background is in epidemiology and public health — M.Phil with a 4.0 GPA, active researcher with peer-reviewed publications, and over four years of hands-on R programming across academic and international consultancy projects. I have worked with Health Security Partners on national AMR surveillance and with academic teams on COVID-19 modeling, sentiment analysis, and geospatial mapping. What I can do for you: — Statistical analysis in R: descriptive, regression, survival, time series, and epidemiological modeling — Sentiment analysis and topic modeling (LDA, VADER) on social media data — Geospatial analysis and choropleth mapping in QGIS — Research writing, report preparation, and systematic reviews — Data cleaning, wrangling, and visualization I communicate clearly in English (IELTS 7.5) and deliver on time. If you have a dataset, a deadline, and a research question — let's talk.

Are you in search of a skilled and detail-oriented statistician and data analyst who has the right domain knowledge to extract accurate insights from your research, survey, electronic health records, randomized controlled trials, development programming, and business data? If yes, you have come to the right profile. I am a data analyst with over ten years of experience in working with various tools such as Excel, Stata, R, Python, SAS, and Power BI. I am not only interested in working with data but also enthusiastic about the stories and insights that it can reveal, particularly if such findings can contribute to business and policy decisions. While a typical analyst may view data in terms of numbers and values, I will collaborate with you to identify the relevant econometric models based on the domain knowledge to analyze your dataset accurately and provide valuable insights. I possess subject matter expertise in education, engineering, sales, healthcare, gender, and international development. Therefore, you will be hiring someone who can personalize your project through a deep understanding of your dataset. I possess expertise in multiple areas, including: → Designing and analyzing surveys using techniques such as stratification, clustering, weighting factors, design effects, etc. → Designing and analyzing randomized controlled trials → Conducting descriptive, predictive, and inferential statistical analysis → Cleaning and mining data using Stata, R, Python, and SAS → Performing regressions such as OLS, polynomial, logit, probit, ordinal, multinomial, Heckman, etc. → Using regularization regressions such as ridge and lasso → Applying count models regression techniques such as Poisson, negative binomial, zero-inflated, etc. → Using instrumental variable regression, panel data regression, and time series analysis → Conducting principal component and factor analysis → Performing survival analysis using techniques such as censoring, survivor function, Cox regression, Kaplan-Meier curves, and hazard function → Interpreting results in detail and writing reports on findings. Let me know if you have any further questions or if you need any assistance with any of these areas. Get in touch with me at let’s bring your project to life in the shortest possible time.