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I am a dedicated and skilled Systematic Review, Meta-analysis, Network Meta-Analysis, Machine Learning including a predictive Model (LSTM, Regression, Logistics GB Algorithm), Time series Modelling, Panel Data Analysis, Econometrics expert with five years of enriching experience in the field of research and data analysis. My journey in the realm of systematic reviews, meta-analyses and machine learning has been marked by a fervent passion for unraveling complex scientific queries and synthesizing extensive volumes of data into meaningful insights. In my dynamic career spanning half a decade, I have delved deep into the intricate world of systematic reviews, meta-analyses and Machine learning. My expertise lies in meticulously designing and conducting comprehensive data analysis and report writing, employing rigorous methodologies to collect, assess, and interpret a plethora of research studies. My goal is to unearth patterns, trends, and discrepancies in existing research, contributing significantly to the advancement of various scientific domains. Over the years, I have spearheaded numerous research projects, where I have demonstrated my prowess in synthesizing diverse data sets. My systematic reviews have not only provided a panoramic view of existing research but have also paved the way for groundbreaking meta-analyses, amalgamating quantitative data from multiple studies to draw statistically robust conclusions. One of my significant accomplishments includes the successful completion of a meta-analysis that elucidated the efficacy of a groundbreaking medical intervention. This analysis, widely cited in academic circles, has played a pivotal role in shaping clinical guidelines and has been instrumental in guiding healthcare professionals worldwide. Methodological Proficiency: My expertise encompasses a wide array of systematic review methodologies, ranging from Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to Cochrane Collaboration standards. I am adept at employing statistical tools and software, ensuring the precision and accuracy of my meta-analytical findings. Additionally, I possess a keen eye for detail, enabling me to critically appraise studies, identify biases, and offer nuanced interpretations. Contributions to the Academic Community: Beyond my individual research endeavors, I am passionate about knowledge dissemination. I have actively contributed to the academic community by publishing my findings in reputable journals, thereby facilitating the exchange of ideas and encouraging further exploration within the scientific community. I have also served as a mentor, guiding aspiring researchers in the nuances of systematic reviews and meta-analyses. Future Endeavors: As I look forward, my aim is to continue my scholarly pursuits, delving into cutting-edge research questions and collaborating with experts from diverse fields. I aspire to further refine and expand my methodological toolkit, exploring innovative approaches that push the boundaries of systematic review and meta-analysis methodologies. In essence, my journey as a Systematic Review and Meta-analysis expert is defined by a relentless pursuit of excellence, a commitment to scientific rigor, and a genuine passion for unraveling the mysteries of the research landscape. I am excited about the limitless possibilities that the future holds and am dedicated to making enduring contributions to the world of academia and scientific inquiry. Some of the research i have done include systematic review and about analysis in medical field, business, management, accounting and agriculture. I have full access to WOS, Scopus, Medline, PubMed and Clinical trial website where i obtained the articles for research purpose.

I am a Statistical Consultant and MS Statistics student at UC Davis. I also received a B.S. in Applied Mathematics/Economics and a Minor in Business Analytics from the University of California, Riverside. 🏆 Elite Credibility: My coauthored research has been selected for presentation at premier national conferences, including: 1️⃣ 2025 Association for Public Policy Analysis & Management (APPAM), Seattle, Washington 2️⃣ 2025 Population Association of America (PAA), Washington, D.C. 📈 Specialized Statistical Services: I leverage R, Stata, and Python to solve complex causal and predictive problems: ✅ Descriptive Regression Analysis: Linear/nonlinear regression, probability modeling (LPM, logistic), ANOVA (One-Way, Two-way, Random / Fixed / Mixed Effects) ✅ Causal Inference: Difference-in-Differences (DiD), Instrumental Variables (IV), and Panel Data (Random / Fixed / Mixed Effects) ✅ Predictive Modeling: Machine Learning (Gradient Boosted Trees, Random Forest, KNN) ✅ Survey Methodology: Expert population weighting, clustering, and post-stratification ✅ Statistical Tests: A/B tests, T-tests, Chi-squared Tests, Hausman test, etc. Some Projects: 1️⃣ Github Website (with an interactive dashboard using PostgresSQL and Python, portfolio, and other webpages on reproducible research) 2️⃣ Regression Analysis of Airbnb prices in Mexico 3️⃣ Regression Analysis of H-1B sponsor rates by industry type and location In a year-long data analytics intern position, I: 1️⃣ Created and implemented a database into our center's initiative on analyzing academic technology usage. 2️⃣ Reached out to technology vendors of the university, requesting data extracts and communicating with them on the interpretation of data. 3️⃣ Streamlined data collection, and organized all data into a database that is still used at the center. 4️⃣ I cleaned and prepared several spreadsheets with hundreds of thousands of rows within Google Sheets, and provided key metrics through dashboards and reports in Google Looker Studio. 5️⃣ I connected this data and made it accessible through Slack. I reported on my progress through Slack, Asana, and Zoom meetings (disseminating findings through bi-weekly meetings). 6️⃣ I implemented data governance policies and facilitated meetings on data governance. 7️⃣ I wrote, recorded, and hosted trainings for my colleagues in Looker Studio. 8️⃣ Providing data-driven insights through story-telling. 🛠 Technical Toolkit: Languages: R, Python , SQL (PostgreSQL), Stata. Visualization: Plotly, ggplot, Looker Studio

Bryce is an independent contractor providing a wide range of analytical and technical support for clients in multiple industries and sizes. He is a credentialed actuary (ASA) with a master's degree in applied data science and over 12 years of experience. Bryce has real-world experience with productivity software (Excel, VBA), scripting (R, Python, Git), web apps (R Shiny, Streamlit, Next.js, React, PHP, HTML, JS, CSS), document automation (RMarkdown, Quarto), cloud and CRM (Google Cloud Platform, Docker, Salesforce.com), data science (sci-kit learn, PyTorch, Inference/Regression/Classification, Clustering, NLP), and databases (SQL, Mongo). In his workflow, Bryce combines AI, comprehensive experience, and creativity to provide technical products in shorter timeframes, with lots of features, and at high quality. Whatever you need, Bryce can meet you where you're at and help you build something special. Please don't hesitate to reach out!

I’m a biostatistician and statistical programmer with four years of experience transforming messy, complex datasets into clear, actionable insights. Whether you're a startup needing dashboards, a small business looking to make sense of your customer data, or a researcher needing statistical analysis, I'm here to help. My toolbox includes: - Languages & Tools: R, SAS, Python, SQL, and Excel - Skills: Data wrangling, visualization, statistical modeling, automation, reporting - Experience: Survey data, time-series, A/B testing, dashboards, public health data, and more I’m especially good at: - Cleaning and structuring raw data to make it analysis-ready - Building intuitive dashboards and data visualizations - Running regression models, classification algorithms, and predictive analytics - Writing clear, understandable reports—even for non-technical audiences - Delivering on tight deadlines with a collaborative, responsive approach 📌 Bonus: I’m bilingual (English & Spanish), detail-oriented, and love solving problems that others find overwhelming. Let’s turn your data into decisions. Reach out and let’s chat about your project!

Biostatistician of 2.5+ 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 * 15 peer-reviewed publications in the areas of surgical oncology, medical oncology, quantitative genetics, evolutionary physiology, genomics, gene expression, and study design.

Dedicated and results-driven data scientist with a proven track record of transforming complex datasets into actionable insights that drive business decision-making. My expertise includes: ✅ Data Analysis & Visualization: Advanced proficiency in Python and R for data analysis, with hands-on experience creating impactful visualizations using Power BI, Google Data Studio, and Matplotlib. ✅ ETL & Back-End Systems: Skilled in designing and implementing efficient ETL processes in Python, and integrating them with databases such as MySQL and PostgreSQL to improve workflows. ✅ Business Intelligence: Experienced in leveraging real-time data to uncover trends, monitor KPIs, and deliver insights that align with strategic business objectives. ✅ Machine Learning: Proficient in developing and deploying machine learning models using PyTorch and Sklearn for predictive analytics, classification, and clustering to solve complex business problems. Whether you need to analyze large datasets, automate workflows, or create visually compelling dashboards, I’m here to help. Let’s collaborate to transform your data into measurable success for your business.