Senior Data Engineer with strong experience designing and implementing scalable data solutions in complex enterprise environments. I have led projects in automation, data engineering, and advanced analytics for companies like Walmart and BBVA, and collaborated internationally on data science initiatives across healthcare, finance, and biotechnology. Proficient in tools such as Python, SQL, GCP, BigQuery, Dataiku, and Spark, I combine deep technical expertise with strategic thinking to turn data into actionable business insights. My career reflects a balance of engineering, consulting, agility, and an analytical mindset focused on measurable outcomes.

I help post-Series-A and enterprise teams turn messy data into the dashboards their executives actually open — and increasingly, the AI agents that act on what those dashboards show. 12 years in BI and data engineering. Top Rated Plus on Upwork for a decade. 200+ clients, 12,000+ hours billed, $300K+ earned here. Where I've worked at depth: - Google (Chronicle / Siemplify) - built their entire BI infrastructure as their first BI hire; stayed five years through the Google acquisition. - British American Tobacco (MAF Group) - Head of Data; built a team of 15 and 100+ pipelines. - Boston Consulting Group - Lead Tableau + Dataiku mentor for 20+ analysts. - Teambuilder (Google Startups) - Tableau→Looker multi-tenant architecture, still active. Three things I do better than most: - BI architecture, not just dashboards. Tableau Certified Architect (2025), Google Certified Professional Data Engineer. I design the warehouse + semantic layer + governance, not just the front-end chart. - Migrations without business downtime. Power BI ↔ Tableau, Cognos → Power BI, Tableau → Metabase/Superset, GA/Adobe → BigQuery. I've done the messy ones. - AI layered on top of BI. Currently building Claude/MCP-driven workflows for proposal analysis, dashboard QA, and decision-agent prototypes. Enrolled in IIT Kharagpur's GenAI + Agentic AI programme (May 2026 – Jan 2027). ⭐⭐⭐⭐⭐ 5.00 across 80+ Jobs 🥇𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗲𝗿 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 🥇𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗟𝗼𝗼𝗸𝗲𝗿 / 𝗟𝗼𝗼𝗸𝗠𝗟 𝗗𝗲𝘃 🏆Top Rated Plus for 10 Years, 200+ clients, 12000+ hours worked 🏢𝗘𝗺𝗶𝗻𝗲𝗻𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 (𝗝𝘂𝘀𝘁 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲𝗺) » Google (Google Chronicle) » Boston Consulting Group (BCG) » British American Tobacco » Teambuilder » Hamptons (Emaar) 💡 𝗥𝗲𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘀𝗼𝗹𝘃𝗲𝗱 » Digital Marketing Dashboards integrating Google Ads, Facebook Ads, Reddit Ads data » Tracking Cost, LTV, CLTV, ROAS, CAC, RoI for Digital Marketing Agencies and Companies » eCommerce BI pipelines and dashboards integrating data from Shopify, Magento, Amazon API and various other eCommerce sources » Web Analytics dashboards integrating Google Analytics, Adobe Analytics and Posthog 💡4 𝗥𝗲𝗮𝘀𝗼𝗻 𝘄𝗵𝘆 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗻𝗼𝘁 𝗿𝗲𝗴𝗿𝗲𝘁 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗺𝗲 ✔️ 99% Client Success Ratio. My clients particularly love me because I stick through particularly during the hard days ✔️ All Round expertise - Experience with wide variety of tools in Data Visualization, Data Engineering, Data Governance and Gen AI prepares me for complex all-rounder expertise ✔️ 2 years - Average Client Retention time period since I started in Upwork ✔️ Communication & Business Knowledge - I understand what the client wants even though it's a small technical work. And so I deliver what they want and what they need 🛠️𝗠𝘆 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝘿𝙖𝙩𝙖 𝙑𝙞𝙨𝙪𝙖𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙏𝙤𝙤𝙡𝙨 ✔️ Tableau Desktop ✔️ Tableau Server ✔️ Looker ✔️ LookML ✔️ Looker Studio ✔️ Metabase ✔️ Qlik ✔️ Domo 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 / 𝘿𝙖𝙩𝙖 𝙒𝙖𝙧𝙚𝙝𝙤𝙪𝙨𝙚 ✔️ Google Bigquery (Google Certified Professional Data Engineer) ✔️ Snowflake ✔️ Postgres ✔️ Azure Data Lakehouse ✔️ Microsoft SQL Server ✔️ Amazon Redshift ✔️ MongoDB ✔️ Python 𝘿𝙖𝙩𝙖 𝙎𝙤𝙪𝙧𝙘𝙚𝙨 (𝘼𝙘𝙦𝙪𝙞𝙨𝙞𝙩𝙞𝙤𝙣) ✔️ Google Analytics (UA, GA4) ✔️ Adobe Analytics ✔️ Shopify ✔️ Magento ✔️ Amazon eCommerce ✔️ Qualtrics ✔️ IMS Claims ✔️ Google Ads ✔️ Facebook & Instagram Ads ✔️ Reddit Ads ✔️ Salesforce CRM ✔️ Pipedrive CRM ✔️ Go High Level CRM 𝗖𝘂𝘀𝘁𝗼𝗺 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗼𝗳𝗳𝗲𝗿 ✔️ Tableau Desktop Report Creation ✔️ Tableau Server Administration ✔️ Tableau Server Installation ✔️ Tableau Server Upgrade ✔️ Tableau Server backup automation ✔️ Tableau Server Automated Metadata extraction ✔️ Power BI to Tableau Migration ✔️ Excel or Google Sheets to Tableau Migration ✔️ Tableau Prep Flow creation ✔️ Tableau Pulse ✔️ Tableau to Power BI Migration ✔️ IBM Cognos to Power BI Migration ✔️ Tableau to Metabase Migration ✔️ Tableau to Apache Superset Migration ✔️ Tableau Rest API ✔️ LookML Data Modeling and Semantic Layer Development ✔️ Looker Implementation, Setup, and Data Source Integration ✔️ Embedded Analytics and Looker API Integration ✔️ Looker Performance Optimization and Health Checks ✔️ LookML Git Setup ✔️ Rapid Metabase Deployment & Setup ✔️ Metabase User Enablement & Self-Service Training ✔️ Metabase/SQL Optimization & Caching ✔️ Data Modeling & Metadata Governance

If you’re struggling with broken data pipelines, slow analytics, unreliable AI models, or half-built web apps, I help you fix that end to end. I design and build data engineering pipelines, AI/ML solutions, and full stack applications that are clean, scalable, and ready for real users. From data ingestion and ETL pipelines to machine learning models, LLM integrations, and modern web apps, I handle the entire lifecycle, so you don’t need 3 different freelancers. 🚀 What I Can Do for You: - Design and build data pipelines, ETL/ELT workflows, and data warehouses - Develop and deploy machine learning models, NLP systems, computer vision solutions, and AI pipelines - Build high-performance backend systems using Django, FastAPI, Node.js, and Express - Create modern, responsive frontends with React.js, Next.js, TypeScript, and Tailwind CSS - Integrate LLMs and AI tools (OpenAI, GPT, LlamaIndex, Hugging Face) into real-world applications - Perform data analysis, feature engineering, and large-scale data processing using Pandas, NumPy, PySpark - Design RESTful APIs, microservices, and scalable database architectures 🛠️ Tech Stack & Tools - Languages: Python, JavaScript, TypeScript, SQL - Frontend: React.js, Next.js, HTML5, CSS3, Tailwind CSS, Bootstrap - Backend: Django, FastAPI, Node.js, Express.js - Databases & Warehousing: PostgreSQL, MySQL, MongoDB, SQL-based data warehouses - Data Engineering: ETL pipelines, data modeling, PySpark, analytics workflows - AI/ML & LLMs: Scikit-learn, PyTorch, Hugging Face, OpenAI, LlamaIndex, NLP - Dev & Ops: Git, GitHub, Postman, VS Code - Deployment: Vercel, Netlify, Render, Heroku, Railway 🌟 Why Clients Choose Me - Strong expertise in Data Engineering + AI/ML + Full Stack Development - Deep understanding of data pipelines, model deployment, and production systems - Clean, scalable, and maintainable production-grade code - Clear communication, fast delivery, and reliable collaboration - Focused on business impact, performance, and long-term scalability If you’re looking for a developer who can own the entire data-to-deployment lifecycle, I’d love to help. Let’s build your AI-powered, data-driven product - efficiently, professionally, and with results that matter.

Your statistical model is only as good as the math behind it. Most analysts run the model. I verify the math first. M.Phil Mathematics. Graph theory. Proof-based reasoning. That background is why 36 out of 37 clients gave me 5 stars. The one who didn't, disputed work I had already delivered and documented. I disagreed then. I still do. Last project: three data mismatches, one broken regression, caught in 30 minutes. Client thought the data was "almost ready." It wasn't. Who I actually help: ✦ Researchers who need statistical analysis they can defend in peer review ✦ Businesses that need predictive models, not templates, not defaults ✦ PhD students stuck on quantitative methodology at 2am ✦ Data teams that need work they can hand off and trust What I deliver: ✦ Statistical analysis: hypothesis testing, ANOVA, regression, Python or R, matched to your data ✦ Predictive modeling and forecasting: XGBoost, ARIMA, Random Forest, validated before delivery, not after ✦ Bayesian analysis: Hierarchical Bayes, LC MaxDiff, A/B testing with linearization ✦ Data cleaning: every transformation documented, nothing black-boxed ✦ Dashboards: Power BI, Excel, built for the person opening it every Monday, not the analyst ✦ SQL exploration: including Mode Analytics How I work: ✦ Data quality check before anything gets built, bad inputs break good models ✦ Right method for the problem, not whatever runs fastest ✦ Full validation, overfitting checked, assumptions verified, before you see the output ✦ Every decision documented, so the work is yours, not just mine ✦ Results in plain language, p-values alone don't make decisions Real projects: ✦ XGBoost diabetes prediction, feature engineering, cross-validation, full evaluation ✦ Hierarchical Bayes + LC MaxDiff, delivered and walked through live ✦ A/B testing with statistical linearization, 5 stars ✦ DDMRP supply chain dashboard, Power BI, operations team uses it every week ✦ Excel financial modeling: 50 hours, $1,250 delivered ✦ Soccer result prediction: custom Python pipeline, real noisy data ✦ Stochastic process: stationary distribution, math fully documented Tools: Python (NumPy, SciPy, XGBoost, Pandas) · R · SQL · SAS · Power BI · Tableau · Excel · ARIMA · Prophet My clients don't just say the work was correct. They say I flagged things they didn't ask me to check. Wrong data costs more than a good analyst. If yours needs to be right, message me.

I'm an Upwork Expert-Vetted Data Scientist who covers what usually takes two specialists: classic ML and modern LLM systems, shipped to production. Nobody understands your business like you do, and you know exactly the bottleneck you want gone. You want someone who can see it just as clearly, bring it to life the way you imagined, and build it to last. That has been my track record. Imagine handing off your idea, and what comes back makes you say, "This is exactly what I had in mind!" That is the feedback I hear most from my clients. Here's what working together looks like: You explain the vision once. I turn it into a clear plan, build the system end-to-end, and ship something your team can actually run and trust. Whether it's an LLM or RAG application, an AI agent, or a forecasting or anomaly-detection engine, it is handed over to you already deployed in production, documented, and yours to keep building on. What my clients say: → "She took our vision as her own and brought it to life." → "When she says she'll handle something, it's done." → "Hwei is the proverbial needle in a haystack. She gets it. She gets it done." Recent projects: • A US women's health startup: I led the AI intelligence layer at the core of their v1.0, live before their funding raise. • A Fortune 500 consumer brand: I built a stability testing platform that turned days of manual work into seconds. • An Italian telecom compliance consultancy: I built an LLM document-processing pipeline that cut review time from days to minutes, with zero false approvals. • A Dutch water consortium: I built an anomaly-detection dashboard that flagged genuine contamination events with zero false alarms. → Expert-Vetted · Top 1% on Upwork · 100% Job Success → ML and AI since 2018 · 8 published papers · trained at Fraunhofer SCAI and the University of Hamburg Tell me what you're trying to build, and I'll reply with a clear path forward, built around your goals. ================== Tools and capabilities: • Generative AI and LLMs: large language models, RAG (Retrieval Augmented Generation), AI agents and multi-agent systems, chatbots, prompt engineering, LLM evaluation, vector databases (ChromaDB), LangChain, Pydantic AI • Machine learning: predictive modeling, anomaly detection, time series forecasting, predictive maintenance, statistical analysis, deep learning, computer vision, natural language processing (NLP) • Engineering and delivery: Python, FastAPI, Docker, cloud deployment (AWS, Azure, Render), data analysis, data pipelines, interactive dashboards (R Shiny, Streamlit, Gradio), data visualization • Model APIs: OpenAI, Anthropic Claude, Google Gemini, Hugging Face • Consulting: artificial intelligence (AI) strategy, AI implementation, AI consulting, code audits, knowledge transfer

U.S.-educated PhD Biochemistry | 6+ yrs research | 2 peer-reviewed publications | Award-winning communicator | Viral vector biology, protein biochemistry, plant defense (Arabidopsis), in vivo mouse models, molecular modeling, structural biology I help research teams, academic institutions, and biotech companies accelerate their scientific breakthroughs through rigorous analysis and expert consultation. What I Deliver: - Cryo-EM structural analysis and molecular modeling (PyMOL, COOT) - qRT-PCR data analysis and gene expression studies - Research methodology design and protocol optimization - Scientific writing, grants, and publication support Results You Can Expect: - Troubleshooting experimental protocols (proven track record of improving protein purification yields by 25%) - Publication-ready data visualization - Research protocols that ensure reproducibility and accuracy - Clear scientific communication for any audience level Academic Credentials: PhD Biochemistry candidate (University of Missouri) | BS Microbiology (Oklahoma State University) | Cambridge International Studies Recognition: 2 peer-reviewed publications | International conference presenter Ready to advance your research goals? Let's discuss your project.

I'm a data scientist with experiences on middle and big financial industries at my country. I have experience with R, Python, Matlab, SPSS and other software for data analysis, financial modeling, and machine learning application's.

Data Scientist | Transforming Data into Strategic Insights Are you seeking a Data Scientist with a knack for turning data into actionable insights? Look no further! I specialize in extracting valuable patterns from complex datasets to drive informed decision-making. What I Offer: With a solid foundation in statistical analysis, machine learning, and predictive modeling, I excel in transforming raw data into meaningful insights. Proficient in Python, R, and SQL, I uncover hidden trends and patterns that drive strategic outcomes. Key Competencies: - Data Visualization: I leverage tools like Tableau and Power BI to create engaging visualizations that convey complex information in a comprehensible way. Visual narratives facilitate better understanding and collaboration across teams. - Industry Expertise: I've applied my skills across diverse sectors, from customer behavior analysis to financial forecasting. I tailor solutions to address specific business challenges, ensuring the right insights are delivered. - Problem-Solving: I enjoy unraveling intricate problems, devising algorithms, and optimizing models. My approach centers on innovative thinking to provide solutions aligned with business goals. - Continual Learning: Data science evolves rapidly. I stay updated with the latest trends and technologies to provide cutting-edge solutions that deliver impactful results. Services: - Exploratory Data Analysis - Predictive Modeling - Machine Learning Algorithms - Data Cleaning and Preprocessing - Time Series Analysis - A/B Testing - Dashboard Creation and Visualization - Custom Data Solutions for Unique Business Needs I bring more than just numerical skills; I offer a comprehensive understanding of your data to drive strategic actions. Let's work together to unlock the untapped potential within your datasets and propel your business growth. Ready to harness data's power? Let's connect and explore how I can contribute to your success.

Hello there, I am a researcher, data analyst, and writer in cognitive and life sciences with interests in both basic and clinical research. I spend some of my time writing and editing content such as articles for peer-review submission, whitepapers, regulatory documents, and scientific presentations, among others. I have experience in qualitative and quantitative analysis and can work with NVivo, SPSS, and Python. You should know I can access several scholarly research databases, such as Proquest. To be more specific, my experience includes the following: - Scholarly and non-scholarly research from sources that include peer-reviewed studies, whitepapers, industry reports, or even newspapers. - Psychometric instrument development applied to basic & clinical research and behavioral intervention design. - CROs outreach & coordination – Identify, screen, and engage Contract Research Organizations, draft RFPs, align study scopes, and manage communication. - Technical and non-technical content writing in cognitive and life sciences. Examples include articles for peer-review submission, clinical protocol designs, whitepapers, clinical evaluation reports, and scientific presentations. - Statistical analysis - descriptive and inferential stats, group comparisons, meta‑analyses, and advanced modelling in Python or SPSS. Let me know what you need, and we can establish goals that can be achieved within a specific time frame. If you have any questions about what I can do and what I cannot, or would like a sample on a specific topic, don’t hesitate to contact me.

I help founders and teams turn AI ideas into working products in weeks, not months. Instead of spending months experimenting with LLMs, tools, and architectures, I design and build MVPs that actually work in real business conditions. Typical results: – Working AI MVP in 2–4 weeks – Clear, scalable architecture (not a demo that breaks later) – Reduced risk before investing into full development 💡 What I do best – Turn raw AI ideas into working MVPs – Design production-ready AI architectures – Build agentic AI systems (multi-agent workflows, automation) – Develop RAG systems & knowledge-based AI – Integrate LLMs into existing products and workflows I focus on execution and outcomes — not just code. 🧠 Who I work with – Startups validating AI ideas – Founders building MVPs for investors or internal use – Teams внедряющие AI в существующие продукты – Businesses looking to automate workflows with AI 💬 Not sure where to start? I offer short consultation calls where we: – break down your idea – define architecture – identify fastest path to MVP Most of my projects start this way. ⚙️ Typical engagement – AI MVP / Proof of Concept: $1,500 – $5,000+ – Architecture & planning: via consultation – Ongoing development: after MVP validation Most of my work is fixed-scope (MVPs, PoCs). If you need someone who can not only build, but also think through your AI product — let’s talk.