Your marketing spend is scaling, but your profit margins aren't following. Your teams are drowning in spreadsheets, and your current dashboards create more questions than they answer. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗶𝘀. As a Data Scientist and Marketing Analytics Expert with over 12 years of experience, I help business owners stop guessing and start scaling. With an M.S. in Statistics (Texas A&M) and deep expertise in Tableau, SQL, and R, I build the automated data pipelines and executive dashboards that leadership teams actually use to drive revenue. I don't just hand over charts, I treat your marketing like a highly optimized production line to eliminate waste and maximize profit. 🎯 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 (𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗘𝘅𝗽𝗲𝗰𝘁):   1. 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀: Clean, interactive dashboards that put profit-driving KPIs front and center (CAC, LTV, ROAS, Payback Period, Conversion).   2. 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗦𝗽𝗲𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Aligning your marketing data with profit metrics, historically delivering 15–30% ROI improvements for my clients.   3. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Replacing manual, error-prone spreadsheet work with automated SQL/R data workflows that speed up decision cycles by 20–50%.   4. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 & 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Uncovering your most high-value customers and most profitable acquisition channels using advanced statistical analysis. 🏆 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲?   • 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝘁: 5+ years of delivering 5-star results on Upwork.   • 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗥𝗶𝗴𝗼𝗿: M.S. in Statistics ensures my models and insights are mathematically sound, not just superficial vanity metrics.   • 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗣𝗮𝗿𝘁𝗻𝗲𝗿: I don't just build what you ask for; I advise on what you actually need to hit your growth targets. 🛠️ 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀:   • 𝗕𝗜 & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Tableau (Dashboard Design, Blending, Automation, Interactivity)   • 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: R, SAS, Predictive Modeling, Linear Regression, Forecasting, Cohort Analysis, Propensity Modeling   • 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: SQL, ETL Pipelines, Automated Reporting, Data Modeling, AWS, Athena, PostGres, Make   • 𝗗𝗼𝗺𝗮𝗶𝗻 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Marketing Analytics, E-commerce, Manufacturing, Campaign Reporting Ready to stop guessing and scale with clarity? Send me a message or book a consultation to discuss your current data setup and how I can turn your analytics into a profit center.

Bioengineer and former Founding R&D Engineer at BioCompute Inc., with ~4 years of experience across startups and international research labs in computational biology, bioinformatics, and genomic data analysis. Named inventor on a US patent filing. I build computational pipelines and analytical systems for biological data: NGS, WGS, long-read sequencing, and high-dimensional experimental outputs. My work combines bioinformatics, statistical modeling, signal processing, and machine learning to extract interpretable patterns from complex biological systems, often within larger pipelines that integrate APIs, containerized environments, and multiple software components. My experience spans genome assembly, variant analysis, methylation detection, structural bioinformatics, raw signal analysis from Oxford Nanopore platforms, and physiological signal analysis. Because I work across both experimental genomics and computational analysis, I can quickly diagnose issues at the interface between sequencing workflows and downstream data interpretation. I also take on biostatistics consulting work including experimental design, hypothesis testing, and grant-level analytical support. At BioCompute, I built a sequencing-based proof-of-concept system integrating native DNA workflows with a custom bioinformatics decoding pipeline developed from scratch, validated on real sequencing runs and contributing to a US patent filing where I am a named inventor. I also delivered genome assembly, methylation analysis, and structured analytical reporting to external customers. What I work with: - Next-generation sequencing (short- and long-read, WGS) - Oxford Nanopore (MinION Mk1B/Mk1D, PromethION; wet lab + analysis) - Genome assembly and annotation (bacterial and small genomes) - Variant analysis and mutation interpretation - Structural bioinformatics (AlphaFold, DSSP, molecular docking) - Modified-base and methylation analysis (pysam, modkit, SAMtools) - Time series and signal processing (FFT, ML-based approaches) - Physiological and biosignal data analysis - Biological image analysis (cell segmentation, microscopy, CV quantification) - Statistical modeling and biostatistics (regression, hypothesis testing, experimental data interpretation) - Lab automation (Opentrons-style JSON protocol systems) - Python bioinformatics pipelines (Linux, Bash) - Containerized and reproducible workflows (Docker, Snakemake) - API-driven data pipelines and backend integrations Tools and technologies: - Python scientific stack (NumPy, SciPy, Pandas, scikit-learn) - Deep learning (PyTorch, TensorFlow) - Image/video analysis (OpenCV, scikit-image) - Docker, Snakemake - Linux, Bash, REST APIs, JSON-based services Wet lab and experimental consulting: Experimental design for sequencing-based studies. Troubleshooting PCR, cloning, library prep, and sequencing workflows. Guidance on protein expression and molecular cloning workflows. Connecting wet lab outputs with downstream computational analysis. Genomics research and analytical consulting: Technical and market research on genomics and sequencing technologies. Variant impact assessment and interpretation workflows. Literature analysis and publication mapping. Translating computational outputs into structured reports and slide decks for both technical and non-technical stakeholders. What you get: - Reproducible, well-documented bioinformatics workflows - Systems-level thinking across wet lab and computational layers - Clear outputs with strong attention to data integrity - Fast turnaround If you're working with sequencing data, complex biological signals, clinical or experimental datasets, or need grant-level analytical support, let's talk.

Hello 👋🏻 I'm Soheil I take messy biological data (DNA, RNA, proteomics, you name it!) and turn it into clear, actionable insights. If you’re looking for someone who: ✧ Has strong data science skills ✧ Has a reliable working style ✧ and Combines deep biological knowledge let’s connect together What sets me apart is not just technical skill, but the way I work: ✅ I keep communication clear ✅ My workflows are organized ✅ Results are aligned with your goals ✅ Also I treat every project like a collaboration, not just a contract. Because when my client is happy with their research, my joy spikes like a volcano plot.🌋 My expertise cover: • Programming: Python, R Programming, Linux, Bash Scripting and Git • Genomics & Transcriptomics: RNA-seq, DNA-seq, variant detection, differential expression, alternative splicing, functional genomics (GO/KEGG), phylogenetics, single-cell analysis • Machine Learning & AI for Biotech: Biomarker prediction, classification, clustering, pharmacogenomics, toxicogenomics, multi-omics integration, deep learning for biomarker discovery • Custom Pipelines in Python/R: Reproducible workflows tailored for NGS, epigenomics, and precision medicine projects • Metagenomics & Microbiome Data Science: Whole-genome & 16S rRNA analysis, microbiome-host interactions, AI-powered taxonomic & functional profiling • Structural & Systems Biology: Protein-protein interaction analysis, molecular docking, molecular dynamics simulations, AI-driven protein structure prediction (AlphaFold, Rosetta) • Data Visualization & Reporting: Clean, insightful figures and publication- or investor-ready reports My background in Biotechnology and the hands-on experience of working with PhD researchers and start-ups on projects in 🧬 Genomic 🩻 Cancer state prediction 🧪 RNA/DNA-seq analysis and 💊 Drug design gave me these foundations. Let's connect. 💎 Together, we’ll make your data tell its story.

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

I am a trained Data Scientist and Statistician with over 10 years of experience applying rigorous modeling and quantitative analysis across research, finance, policy, and business environments. My work is grounded in deep methodology, careful inference, and a commitment to practical, reproducible implementation. I specialize in high-complexity environments where standard "out of the box" analytics aren't enough. I focus on the structural integrity of the inference—ensuring that assumptions, variance structures, and data limitations are respected rather than ignored. {################} Core Areas of Expertise {################} 🔹 Statistical Inference & Modeling: Linear and non-linear regression, multilevel/hierarchical models, and variance component estimation. 🔹 Predictive Analytics & ML: Supervised and unsupervised learning, time series forecasting, and causal inference. 🔹 Specialized Methodologies: Small area estimation (SAE), survey design, spatial modeling, and experimental design (A/B testing). 🔹 Financial Econometrics & Trading Analytics: Developing robust backtesting and forward-testing (walk-forward) frameworks, signal-to-noise analysis, and risk-adjusted performance evaluation for algorithmic strategies. 🔹 Quantitative Research: Handling large-scale observational data, bias correction, and complex data cleaning. {##############} My Approach to Collaboration {##############} I believe that high-level statistics should be both rigorous and accessible. Clients value my work because I prioritize: 🔹 Methodological Rigor: Choosing the right model for the data, not just the easiest one. 🔹 Transparency: Clear documentation of assumptions, validation steps (including out-of-sample testing), and confidence intervals. 🔹 Reproducibility: Clean, modular code that serves as a long-term asset for your team. 🔹 Communication: Translating complex mathematical results into actionable insights for decision-makers. If your project requires a thoughtful, PhD-level approach to data—whether in financial markets, spatial research, or predictive modeling—let’s discuss how we can collaborate.

🏆 Top Rated Plus Data Scientist | Microsoft Certified Azure AI Expert 💯 Job Success Score | ⏱️ 3100+ Hours on Upwork | 🤝 100+ Happy Clients 📊 10+ Years of Experience in Data Science, Machine Learning, AI, GenAI & Cloud (Azure) 👋 Hello! I’m Rajib Kumar De, a Microsoft-certified Azure Data Scientist & AI Engineer with a Master’s degree in Statistics and 10+ years of hands-on experience delivering production-grade AI, ML, and GenAI solutions for global clients. I specialize in end-to-end AI systems - from data exploration and modeling to MLOps, LLM/RAG pipelines, and Azure AI Agent architectures - with a strong research-driven mindset across both supervised and unsupervised learning. If you’re looking for someone who combines statistical depth 📐, engineering rigor ⚙️, and cloud-scale execution ☁️, you’re in the right place. 🔍 What I Do Best ✔️ Advanced Analytics & Predictive Modeling (Python / R) ✔️ Machine Learning & Deep Learning (XGBoost, LightGBM, TensorFlow) ✔️ NLP, LLMs, RAG & GenAI Applications ✔️ Azure Machine Learning, Azure AI Foundry & Agentic AI ✔️ End-to-End MLOps (MLflow, CI/CD, Model Monitoring) ✔️ Microsoft Fabric (Data Science, Data Agent, OneLake) ✔️ Databricks ML, AutoML & Scalable Pipelines ✔️ Business Insights, Experimentation & PoC Delivery 🚀 Services I Offer ✅ End-to-End ML Projects (Exploration ➝ Training ➝ Deployment) ✅ Azure AI & MLOps Pipeline Design ✅ LLM / RAG / Azure OpenAI Integrations ✅ Multi-Agent AI Systems (Azure AI Agents) ✅ Model Optimization, Interpretability & Drift Handling ✅ AI-Powered Chatbots & “Chat with Your Data” Solutions ✅ Power BI Dashboards & Executive Analytics ✅ PoC → Production-Ready AI Solutions 🧠 Tools & Technologies Languages: Python, R, SQL, PySpark Platforms: Microsoft Azure, Azure ML, Databricks, Microsoft Fabric, Azure AI Foundry GenAI & NLP: Azure OpenAI, Hugging Face, RAG, PromptFlow MLOps: MLflow, Azure DevOps, CI/CD, Databricks Workflows, DLT BI & Analytics: Power BI, Excel APIs & Apps: FastAPI, Flask, Azure Functions 🎓 Certifications 🏅 Microsoft Certified: Azure Data Scientist Associate (DP-100) 🏅 Microsoft Certified: Azure AI Engineer Associate (AI-102) 🏅 Microsoft Certified: Azure AI Fundamentals (AI-900) 🏅 Microsoft Professional Program – Data Science 🎯 Why Clients Choose Me ✨ Top Rated Plus Freelancer with long-term client relationships ✨ Strong research + production mindset (not just experiments) ✨ Enterprise-grade Azure AI experience ✨ Clear communication & on-time delivery ⏱️ ✨ I only accept projects I’m confident I can deliver within scope, time & budget ✨ Backed by an in-house team for scalable delivery when needed 📈 Keywords for Discovery: Data Scientist | Azure Data Scientist | Azure Machine Learning | Azure AI Engineer | Microsoft Fabric (DS) | MLOps | R Programming | Python | NLP | AI Consultant | Azure ML | Predictive Analytics | LLM | RAG | Databricks | ML Engineer | Power BI | Azure AI Foundry | CI/CD | MLflow | Data Analytics | Cloud ML | Databricks (ML) | Azure AI Foundry | Azure AI Agents| Azure OpenAI Service | Microsoft Foundry | Copilot Studio | Databricks Genie 📩 Let’s discuss your project. I’m available 24×7, responsive, and committed to delivering high-impact, production-ready AI solutions that create real business value.

I'm a Data Analyst and Machine Learning Specialist with hands-on experience in delivering AI-powered solutions and actionable insights. I specialize in data analytics, web scraping, and predictive modeling, helping businesses make smarter, data-driven decisions. ✅ Skilled in Python, R, SQL, Excel, Google Sheet, Power BI, and statistical analysis ✅ Expert in web scraping and automation (BeautifulSoup, Selenium, Scrapy) ✅ End-to-end solutions: from data collection to insights and visualization ✅ Clean code, scalable workflows, and strong data ethics Whether you need a custom dashboard, a machine learning model, or automated data scraping from websites I can help. Clear communication, timely delivery, and client satisfaction are my top priorities. Let's connect and get started on your next data project!

Bringing extensive expertise in econometrics and statistics, I am dedicated to providing data-driven insights that fuel informed decision-making. My expertise spans a range of advanced analytical techniques and software, including SPSS, Stata, R, and Python. I specialize in survey data analysis, thesis writing, and the development of robust economic models, ensuring accuracy and relevance in every project. My services includes: 1. Research Methodology Design: I excel in crafting and justifying rigorous research methodologies tailored to the unique requirements of each project. This includes designing and validating surveys to ensure methodological integrity. 2. Survey Analysis: Utilizing advanced analytical techniques, I delve deep into survey data to extract valuable insights, driving informed decision-making for clients. 3. Statistical Reporting and Analysis: Proficient in multiple statistical software tools, including SPSS, Stata, R, Python, and more. I offer comprehensive statistical reporting and analysis services to meet diverse client needs. 4. Quantitative Research: From econometric modeling to regression analysis, I bring a robust quantitative approach to uncover patterns and relationships within data. 5. Research Proposal Assistance: I provide invaluable support in crafting and refining research proposals, ensuring alignment with objectives and feasibility. 6. Literature Reviews: I offer assistance with literature reviews, synthesizing existing research to provide a comprehensive understanding of the current state of knowledge in a given field. 7. Proofreading and Editing: With meticulous attention to detail, I offer proofreading and editing services for dissertations and research papers, ensuring clarity, coherence, and adherence to academic standards. As a dedicated data analyst, I'm passionate about leveraging data to address real-world challenges and positively impact the field of analytics and beyond. Whether you need assistance with research methodology, data analysis, or research proposal development, I am here to help. Feel free to contact me with any questions or project inquiries – I'm committed to delivering exceptional results for your endeavors.

I help research, healthcare, education, and behavioral science teams turn complex data into clear findings, publication-ready reports, dashboards, and AI-enabled tools. I bring a rare mix of PhD-level statistical training and hands-on AI/data engineering. My background includes 200+ Upwork jobs, Top Rated status, published academic research, graduate-level statistics teaching, grant evaluation work, and current work as a Lead Data Science & Analytics Architect for a VA-facing behavioral health chatbot. I can help with: - Statistical analysis in R, Python, SPSS, JASP, or Stata - APA-style results sections, tables, figures, reports, and presentations - Regression, GLM, multilevel models, SEM/factor analysis, mediation, power analysis, meta-analysis, and ML models - Survey data cleaning, coding, visualization, and interpretation - Dashboards in Power BI, Tableau, R Shiny, or Microsoft Fabric - AI agents, RAG/GraphRAG workflows, NLP, Azure AI, and Microsoft Copilot Studio solutions My clients usually come to me when they need more than a quick chart. They need analysis that is technically sound, clearly explained, and ready for stakeholders, reviewers, funders, or product teams. Send me your research question, dataset, analysis plan, or AI/data product idea, and I'll help clarify the best next step.

4 years of experience as a freelance statistician & econometrician & 10 years of teaching with a strong background in data analysis, visualization, and interpretation. - MPhil in Statistics & Research from IQRA university in Pakistan - Freelance statistician helping clients extract insights using SPSS, R, Stata, Excel, and a strong foundation in Python and Amos. - Have massive experience in handling data pulling, manipulating, processing, building models, and survey data, time series and panel data modelling -Let's bring something fruitful from your data and get rid of the headache of data.