Hire the Best Shiny Specialists

Your dashboards look fine. The numbers don't match. CRM exports say one thing. Finance reports say another. Operational or marketing reports show something slightly different. Eventually, teams stop trusting the data, decisions slow down, and reporting becomes harder to rely on. That's usually when I get involved. I work with data coming from CRMs, reports, exports, APIs, and financial systems to trace where metrics come from, reconcile discrepancies across sources, and rebuild the reporting logic so KPIs actually align. This is not just dashboard work. It is the layer underneath: structuring fragmented reporting flows, standardizing definitions, and making sure the numbers used across teams are consistent and explainable. Common situations I help fix: * Different dashboards showing different totals for the same KPI * CRM metrics that don't match finance or billing reports * KPI definitions that changed over time and broke comparisons * Operational data too messy to analyze without structure * Teams spending more time debating numbers than using them Selected outcomes: * Reduced manual reporting time by ~80% by replacing repetitive CRM exports with an API-connected R/Shiny dashboard * Reconciled operational, clinical, and billing data for a multi-location healthcare CRM environment * Structured fragmented transaction records into a workflow where operational and accounting numbers aligned * Turned raw survey data into validated customer segments for strategic targeting I typically work with CRM platforms, financial and payment systems, transactional datasets, APIs, and internal operational reporting. Core tools: R, SQL, and Shiny. I'm usually a strong fit when a company already has reports and dashboards, but the logic behind the metrics no longer holds across systems.

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!

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!

Associate Director-level data professional with 10+ years of experience turning complex data into actionable insight across analytics, product operations, and AI-driven solutions. I specialise in end-to-end data workflows — from database architecture and SQL optimisation to interactive dashboards and automated reporting pipelines. My toolkit includes SQL, Power BI, R, R Shiny, and Python, and I hold an MSc in Data Analytics backed by a First Class BSc in Computer Software Engineering. Recent highlights include: ∙ Building R Shiny dashboards to replace legacy manual processes, dramatically reducing turnaround time and human error ∙ Designing and optimising SQL procedures for performance at scale ∙ Delivering analytics solutions aligned to business KPIs in regulated, enterprise environments I bring the rigour of a senior corporate role to every freelance engagement — clear communication, structured delivery, and a genuine focus on outcomes rather than outputs. Whether you need a one-off dashboard, a data pipeline overhaul, or ongoing BI support, I’ll deliver work that’s clean, documented, and built to last.

⭐⭐⭐⭐⭐ 5.00 across 200+ Jobs🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 (𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁) 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 (𝗣𝗟𝟯𝟬𝟬 💎 Top Rated PLUS, Trusted by 200+ clients, 9600 + 🅷🅾🆄🆁🆂 worked, )High-quality outcomes & your trusted companion for the long-term data journey. 12+ Yrs of immense ex 🏅 Top 1% of Tableau Developers 🏅 Top 1% of PowerBI Developers Open for a long-term opportunity 15+ years of immense experience in building 200+ solutions and implementing in QlikView Domo, Klipfolio, and Tableau, Power BI projects single-handedly. I also have sound knowledge of ETL, Datamining, data fetching, Oracle database, Google Analytics, Social media analytics. I am also Tableau sales accreditation certified and attended tableau basic and advanced paid training certification as well. I also have snowflake core certification, and also Klipfolio certified expert, please visit my certification section for more info. Skillset: ✅ Tableau ✅ Klipfolio ✅ Qlikview ✅ Domo ✅ Google data studio ✅ Sisense ✅ Looker ✅ Power BI ✅ Click data ✅ AWS Quick sight ✅ Google analytics ✅ Tealium ETL Tools: ✅ Azure DataFactory ✅ AWS Glue ✅ Alteryx ✅ Integromat/Make ✅ Knime ✅ Power Automate Databases: ✅ SQL Server ✅ Oracle ✅ Hadoop impala/hive ✅ Mongo DB ✅ Postgres Sql ✅ Snowflake/Amazaon RDS 💎 Top Rated PLUS | 🕐 Fast Turnaround 🌟WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Client Reviews ✅ Communication ✅ Mastery 🟢 GO GREEN 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸🟢 Cloud: Azure (Data Factory, Synapse, Fabric), GCP (BigQuery, Dataflow), AWS Languages: Python, SQL, R, Scala, DAX, JavaScript Orchestration: Airflow, dbt, Prefect, Kafka, CI/CD, Git BI: Power BI, Looker Studio, Tableau, QlikView, Excel/Power Pivot AI/Automation: Clawdbot, Moltbolt, Openclaw, LangChain, n8n, Make, Zapier, Pinecone CERTIFICATIONS 🏅 Tableau Desktop Specialist Certified 🏅 Tealium Specialist Certified 🏅 Microsoft Certified: Power BI Data Analyst 🏅 Google Data Studio Certified 🏅 Alteryx Designer certified 🏅 Microsoft Certified Professional (MCP SQL) 🏅 Excel and Spreadsheets Expert 🏅 Zoho and Looker Expert 🏅 D365 CRM and SharePoint Expert 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱: - Engineered ETL pipelines processing 50M+ events/day across GCP, Snowflake, and BigQuery - Delivered a $47K enterprise AI + web application rated elite by the client - Replaced manual reporting workflows saving teams 20+ hours per week - Scaled Power BI datasets from thousands to 10M+ rows without performance loss - Built AI document parsing systems handling enterprise-grade extraction and classification - Designed Snowflake data warehouses with optimized dimensional models for executive reporting 𝗣𝗶𝗹𝗹𝗮𝗿 𝟭: 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ETL/ELT architecture, real-time ingestion, CDC patterns, incremental loads, and warehouse modeling. I work across Snowflake, BigQuery, Databricks, Azure Data Factory, dbt, Airflow, and Kafka. Clean data contracts, reliable refreshes, and systems your team can maintain. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟮: 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 (𝗔𝗟𝗟 𝗧𝗼𝗼𝗹𝘀) Power BI (semantic models, DAX, embedded analytics, Power BI Service, Fabric), Looker Studio, Tableau, QlikView, and Excel/Power Pivot. From KPI frameworks and dimensional modeling to real-time executive dashboards I build reports that are fast, accurate, and aligned to decisions. Performance tuning for slow or bloated reports is a core specialty. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟯: 𝗔𝗜, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Production-grade LLM integration using Clawdbot, Moltbolt, Openclaw, LangChain, and RAG architectures. Custom AI agents with guardrails, human-in-the-loop controls, and monitoring for enterprise safety. Workflow automation through n8n, Make, Zapier, Langflow, Flowise, and SimStudio — connecting AI to your CRM, ticketing, email, Slack, and internal systems with role-based access and audit trails. Typical AI deployments: AI support agents, document intelligence pipelines, internal ops copilots, knowledge search with permissions, and intelligent lead qualification systems. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: Healthcare (EHR, operational analytics, HIPAA-compliant reporting) Finance & Enterprise (P&L, KPI dashboards, multi-source consolidation) SaaS & Startups (product analytics, embedded BI, growth pipelines) 𝗠𝘆 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: Every engagement starts with a short audit current-state review, data access, KPI definitions, and a milestone delivery plan with clear timelines. Then we build in iteration cycles with hardening, documentation, and handover so your team owns the system when I'm done. I always leave things better than I found them. Proper data models, clean logic, version-controlled code, and documentation your team can actually work with. Have a project in mind? Click "Invite to Job" let's talk.

Drowning in fragmented data and manual reporting? I build automated data pipelines, rigorous statistical models, and objective dashboards that replace the chaos. My goal is to deliver a single source of truth, giving your team reliable, real-time insights you can confidently act on. What I Deliver ⚙️ Data Engineering & Automation ⟶ Architecture & Pipelines (ETL/ELT): Designing end-to-end automated pipelines using Microsoft Fabric, Python, Apache Spark, and dbt to integrate messy data from ERPs, CRMs, APIs, and flat files. ⟶ Warehousing & Orchestration: Building scalable Lakehouses/Warehouses and automating workflows to eliminate manual data entry and reduce human error. 📊 Business Intelligence & Dashboards ⟶ Enterprise Reporting: Building high-performance, user-focused dashboards in Power BI, Tableau, and Apache Superset that prioritize clean, objective data visualization. ⟶ Performance Optimization: Auditing and speeding up slow, bloated Power BI reports using DAX Studio, Tabular Editor, and Measure Killer. 📈 Statistical Analysis & Research ⟶ Advanced Analytics: Moving beyond "what happened" to "why it happened" using R and Python for hypothesis testing, A/B analysis, and predictive modeling. ⟶ Exploratory Data Analysis (EDA): Deep-diving into complex datasets to uncover hidden patterns, delivering findings via reproducible reports (RMarkdown) or interactive web apps (R Shiny). 🔗 Tools & programming languages: Power BI (advanced DAX, Power Query, semantic modeling, Dax Studio, Tabular Editor, Bravo, Measure Killer), Microsoft Fabric, Python, R, SQL, dbt, Apache Airflow, Dagster, Airbyte, Prefect, Tableau, Azure, ClickHouse, PostgreSQL, MySQL, Figma, Canva, Microsoft Excel, Google Sheets Professional Certifications ✅ Microsoft Fabric Data Engineer (DP-700) ✅ Microsoft Fabric Analytics Engineer (DP-600) ✅ Microsoft Power BI Data Analyst (PL-300) I combine data modeling best practices with a commitment to objective, truth-revealing visualization. I deliver projects on time, meticulously documented, and ensure clear communication from day one. I would love to hop on a quick call to discuss your project. The first consultation is on me!