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Results-driven data analyst and web developer with 5+ years of experience transforming multi-source datasets into clear reporting, dashboards, and actionable insights for business stakeholders. Proven track record in SQL, Python, based reporting, Tableau dashboard development, data quality monitoring, and cross-functional collaboration with marketing, finance, and operations teams. Adept at collaborating cross-functionally with engineering, data science, and business teams to deliver data-driven solutions that improve operational efficiency and drive strategic decision-making. Passionate about leveraging AI and emerging technologies to solve complex, real-world problems.

I build scalable applications with: 1. High-performance APIs using Python (Django), Node.js, PostgreSQL, and modern cloud infrastructure 2. Fast response times even during traffic spikes - strong architecture 3. 99.9% uptime with auto-scaling 4. Clean, maintainable code that's easy to update 5. Strong security measures to protect your data 6. Automatic backups and recovery systems 7. Smooth integration with payment gateways and third-party tools 8. Quick deployment with automated testing 9. Database design that stays fast as your data grows 10. Mobile-friendly APIs that work with any device 11. Multi-tenant setup for SaaS products 12. Monitoring and alerts to catch issues early 13. Load balancing to handle more users smoothly 14. Container-based setup (Docker) for consistent performance 15. Compliance-ready for data protection rules

5+ years of experience 📞 Excellent Communication 🕛 Full Time Availability 🚀 Top Rated Plus 🏅 Certified Data Visualization & Engineering Expert I help businesses turn raw data into powerful dashboards, streamlined workflows and actionable insights. What I offer: - Dashboard Development: Looker Studio, Looker, Microsoft Power BI (DAX & Power Query), Tableau, Metabase, AWS Quicksight, Google Data Studio, LookML - Data Engineering & Transformation: ETL pipelines, SQL & Python scripting, dbt, Snowflake, Google BigQuery, - Data Reporting - Google Analytics, GA4, Jet Admin, Superset, Redash, Retool, Domo, Klipfolio, Periscope, Grafana, Sisense, AirTable, Grow, etc. Growth Metrics. Shopify Reports, E-commerce Reports, etc - Automation & Integration: API-based workflows, Zapier, Google Apps Script - Forecasting & Analysis: Trend analysis, business reporting, performance tracking Technical Skills: - BI Tools: Looker Studio, Power BI, Tableau, Google sheets, Metabase, AWS Quicksight, LookML, - Languages: SQL, Python (Pandas, NumPy), JavaScript - Databases: Snowflake, Google BigQuery, PostgreSQL, MySQL - Workflow Automations: n8n, Make.com, Dagster, Airflow - Cloud & Automation: AWS, Zapier, API integrations I've delivered 100+ data projects across healthcare, finance and tech, including for global firms like Roche and data-first startups. My focus is on creating scalable, insightful solutions that save time and drive better decisions. Let’s work together to unlock the full value of your data. 📩 Message me to discuss your project. Keywords: Best Looker Studio Expert and Dashboard Specialist Freelancer, Looker Studio, LookerML, Google Data Studio, Google Looker Studio, Dashboards, Dashboard Specialist, Dashboard Design, Data Visualization, Interactive Dashboards, Visual Reporting, Financial Reporting, Google Sheets, GA4, Google Analytics 4, GTM, Google Tag Manager, Data Analytics, Data Analysis, Data Insights, Business Intelligence, BI, Analytics, Data Driven, Data Storytelling, Data Reporting, KPI, Metrics, Performance Management, SQL, BigQuery, Snowflake, ETL, Data Engineering, Cloud Analytics, Business Analysis, Analytics Consultant, Visualization Expert, Data Analytics Expert, Freelance Data Analyst, Self Service BI

Turn your raw data into clear, actionable insights—whether for business growth or rigorous research. Data is only valuable if you can understand it. If you are struggling with messy datasets, complex statistical models, or manual reporting, I am here to help you find the answers hidden in your data. I am a verified Data Scientist specializing in end-to-end data analysis, advanced statistical modeling, and interactive visualization. From cleaning disorganized databases to building corporate dashboards and writing comprehensive research reports, I deliver clear, accurate, and professional results. Core Services I Provide: 1. Advanced Statistical Analysis: Hypothesis testing, regression modeling, ANOVA, and factor analysis using IBM SPSS, Stata, and R. 2. Business Intelligence & Dashboards: Building interactive, automated Power BI and Excel dashboards to track key performance metrics. 3. Data Automation & Machine Learning: Writing clean Python scripts (Pandas, NumPy, Scikit-learn) to automate manual workflows and build predictive models. 4. Survey & Research Analysis: Cleaning survey data, interpreting consumer trends, and writing executive summaries or academic-grade reports. The Tech Stack I Master: 1. Statistical Tools: IBM SPSS, Stata, R Studio, Jamovi, SAS 2. Programming: Python, SQL 3. Visualization: Power BI, Microsoft Excel, PowerPoint No matter how messy your dataset is, I will deliver clean code, clear charts, and professional reports.Click the "Invite to Job" or "Message" button on the top right to discuss your project goals today!

I'm a mobile developer specializing in building responsive, cross-platform apps for mobile and web using flutter and swiftui. I focus on delivering clean UI/UX, smooth animations, and optimized performance. I’ve implemented various state management approaches (Riverpod, GetX, Provider) and have experience working with Firebase Firestore, MySQL, Shared Preferences, and GetStorage for data handling. I routinely integrate REST APIs, custom endpoints, and webhooks, and have built apps with secure payment systems like MPesa, Stripe, PayPal, and Flutterwave. On the machine learning side, I’ve integrated YOLO and TensorFlow Lite for on-device ML, trained models using PyTorch and TensorFlow, and deployed them via Google Cloud services like Cloud Run, Cloud Functions, and the Model Registry—tying it all together with Firebase Functions. My backend experience includes Firebase, MySQL, MongoDB, and GraphQL. I've also worked on features like AdMob monetization, social logins (Google, Facebook, Twitter, Instagram), geolocation (Google Maps, Mapbox), and game mechanics using the Flame engine. For backend email support, I use Nodemailer. I combine strong technical skills with a focus on clean architecture and maintainable code, helping clients launch high-quality apps efficiently.

I am a Machine Learning and AI Systems Engineer focused on building production-ready AI solutions using Python. My work sits at the intersection of machine learning, computer vision, OCR, and LLM-powered systems, with a strong emphasis on reliability, explainability, and real-world deployment. I don’t build demos or prompt-only chatbots. I build end-to-end AI systems that ingest messy data, apply controlled intelligence, and deliver consistent outputs through well-designed APIs and pipelines. What I Specialize In Machine Learning & Applied AI Image classification and computer vision systems Predictive models and decision-support systems Model evaluation, validation, and performance analysis Sensor + data fusion for real-world environments LLMs & Retrieval-Augmented Generation (RAG) RAG systems for private documents, codebases, and internal knowledge Semantic search using vector databases (FAISS, ChromaDB) Structured AI outputs (JSON, scores, summaries) with guardrails AI agents with controlled tool access (LangChain, LlamaIndex) OCR & Document Intelligence OCR pipelines for scanned PDFs and images Table and field extraction across multi-page documents Data cleaning, validation, and confidence checks Human-in-the-loop fallback strategies Backend & AI Infrastructure Python-based APIs using FastAPI / Flask Batch processing and background pipelines Logging, error handling, and reproducible workflows Clean, maintainable code with clear documentation How I Work I approach AI as an engineering discipline, not a black box. Every system I build is designed with: Clear data validation and failure handling Deterministic outputs where required Transparent trade-offs between accuracy, cost, and reliability Practical deployment and long-term maintainability in mind AI is used only where it adds real value, and never without guardrails. Relevant Project Experience AI Livestock Disease Detection System Built a computer vision + sensor fusion system using CNNs and classical ML models to detect livestock health issues, combining image data and physiological inputs with real-time inference. Smart Irrigation & Greenhouse Monitoring Systems Designed ML-driven systems that automate irrigation and environmental control decisions using sensor data, predictive modeling, and rule-based logic. RAG Chatbots & Document QA Systems Developed multiple RAG pipelines using ChromaDB / FAISS for private documents and PDFs, enabling accurate semantic search and source-grounded responses. OCR & Document Processing Pipelines Built OCR systems for scanned PDFs and images, extracting structured tables and fields with validation and cleanup for analytics and automation workflows. Tech Stack Machine Learning & AI Python · PyTorch · TensorFlow · scikit-learn · NumPy · Pandas Computer Vision & OCR OpenCV · Tesseract OCR · Image preprocessing LLMs & RAG LangChain · LlamaIndex · OpenAI API · Ollama · FAISS · ChromaDB Backend & APIs FastAPI · Flask · REST APIs · Batch pipelines Deployment & Dev Docker · Git/GitHub · Basic AWS (EC2, S3) Who I’m a Good Fit For Teams building serious AI products, not experiments Companies working with documents, images, sensor data, or private knowledge Clients who value clarity, correctness, and long-term reliability If you need a dependable AI engineer who can take a system from idea to production-ready implementation, I’d be happy to discuss your project.