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Trained data analyst and Data Scientist My top relevant skills are: - Data visualization and data analysis using SQL, python, Excel, Google Sheets, Tableau, Google Looker Studio, Power BI and Metabase - Data engineering and feature extraction using python and BigQuery - Data scraping. - e-commerce Data management (Woo-commerce, Shopify) Some of my accomplishments are: - Created KPI reports and dashboards delivered using Googe Data Studio. - Created profiles that can be acted upon after clustering of data - Mined public websites and datasets to create actionable insights

Full-Stack Developer with 3+ years of experience (building scalable applications and AI-powered products) focused on: Backend: Python / FastAPI Frontend: React / Next.js / React Native Database Management: SQL & NoSQL (PostgreSQL, MySQL, MongoDB) APIs: RESTful APIs, backend architecture, integrations Deployment: Linux servers, VPS, cloud-based environments, AWS

🎯 Data Science & AI Services - Time Series Forecasting • Machine Learning • Deep Learning Seller: Ruben Ibarra ( PhD in Statistics - Mathematician - Econometrician, ML/DL) ________________________________________ 1) SERVICE OVERVIEW I help businesses and researchers turn raw data into reliable predictions and actionable insights. I specialize in hybrid time‑series forecasting, Machine Learning, and Deep Learning, delivering reproducible code, clear documentation, and business‑ready artifacts. INDUSTRIES: Finance, energy, retail, manufacturing, climate, health/sensor analytics. TOOLING: Python (NumPy, Pandas, scikit‑learn, XGBoost/LightGBM/CatBoost), Optuna, SHAP, Statsmodels (ARIMA/SARIMAX/GARCH), PyTorch/TensorFlow, Signal Processing (Welch/STFT/DWT), RAPIDS (GPU), SQL. ________________________________________ 2) CORE OFFERS (Pick one or combine) A. TIME-SERIES FORECASTING & CAUSALITY • Forecasting: ARIMA/SARIMAX, VAR/TVP‑VAR, GARCH, Prophet, LSTM/GRU, hybrid ensembles • Feature engineering: calendar/events, weather, promotions, wavelets (DWT), STFT/Welch PSD • Multi‑horizon & hierarchical forecasts; nowcasting; anomaly detection • Causal/exposure indices: PCA/LDA‑based indices, synthetic control (classic & stacked) Deliverables: Clean repo + notebooks, forecast charts, error diagnostics (MAE/MAPE/RMSE), MLOps‑ready pipeline options B. MACHINE LEARNING & DEEP LEARNING • Classification & regression (XGBoost/LightGBM/CatBoost, RF, SVM) • MLP, RNN, CNN, LSTM, GRU, and Temporal Fusion Transformer (TFT) • Predictive Maintenance ( Manual feature engineering or Architectures like PatchTST and MOMENT) • Imbalance handling, cross‑validation, calibration, SHAP interpretability & pruning • Hyperparameter optimization with Optuna Deliverables: Feature store, tuned model, test metrics (AUC/F1/PR), explainability report ________________________________________ 3) PACKAGES (scope guidance — can be tailored) 🚀 STARTER (MVP/Exploratory) • Scope: One dataset, single target; baseline + 1 advanced model • Work: EDA, baseline, tuned model via Optuna (≤ 30 trials), basic report • Data limit: ≤ 200 MB, ≤ 2M rows (tabular) or ≤ 12 series (time‑series) • Deliverables: Notebook + brief PDF, predictions CSV, code repo • Timeline: ~5–7 days ⚖️ ADVANCED (Production‑ready Model) • Scope: Multiple series/segments, feature engineering, ensembling • Work: Robust CV, diagnostics, SHAP report, data leakage checks, error analysis • Add‑ons included: Experiment tracking, reproducible environment (requirements.txt) • Deliverables: Modular repo, metrics dashboard (static), handover call notes • Timeline: ~10–14 days 🧭 END TO END (Pipeline + Handoff) • Scope: Full pipeline with scheduled scoring; optional API/batch • Work: CI-friendly structure, model monitoring hooks, documentation & SOPs • Deliverables: Repo + README, config files, deployment guide; optional API stub • Timeline: ~2–4 weeks Notes: Pricing varies based on data volume, complexity, and compliance/security requirements. I’m happy to provide a fixed-price quote if you require one. 4) WHAT YOU GET (Deliverables) • Clean, versioned Git repository (readable modules + notebooks) • Report (PDF/Markdown): methods, metrics, plots, decisions • Forecasts/Predictions CSV/Parquet; optional dashboards • Reproducibility: lockfiles/requirements, random seeds, data schema • Explainability: SHAP plots, feature importance, ablations ________________________________________ 5) BUYER REQUIREMENTS (intake form) Please provide: - Objective & KPIs (e.g., MAPE ≤ 10%, AUC ≥ 0.85) - Brief business context (drivers, constraints, decisions tied to model) - Data dictionary + sample dataset (schema, nulls, freq, units) - Historic range & granularity; expected forecast horizon - Non‑functional: latency, privacy, on‑prem vs. cloud, preferred stack - Compliance/IP constraints; NDA if required. ________________________________________ 6) FAQ (buyer‑facing) Q. Can you work under NDA and keep IP private? Yes. All code/data remain confidential; IP transfer occurs upon final payment. Q. What accuracy can you guarantee? I don’t guarantee a specific metric before seeing data, but I provide baseline + target KPI ranges after EDA, and iterate to hit agreed thresholds. Q. Do you support long‑term maintenance? Yes—retainers or milestone‑based updates are available. Q. Can you deploy to my stack? I can provide API/batch stubs and DevOps‑ready instructions; direct deployment available on request. I look forward to hearing from you Best Regard

• Committed Data Analyst-Data Scientist focused on results, with a solid background in Chemical Engineering. (Looker Studio, LookML, SQL, Big Query, Connected Sheets). • Able to merge technical skills with business vision to generate innovative and scalable solutions. • Demonstrated experience in leading interdisciplinary teams. Proactive problem solver with a passion for applying data-driven insights to communicate strategic decisions and drive business growth.

UX Researcher reveals what the consumers need from the business's products by conducting primary research, exploring consumer behavior and motivation, and working with the Product Design, Product Management, and Product Development (engineers) departments in developing new product features. - Result Oriented - Time Management - Work under pressure - Fluent in Spanish and English Education - IBM Data Scientist Certification - MBA - BSc. in Management Information Technology

Are you looking for a developer who can not only build a robust web application but also populate it with data and automate the entire process? I am a Senior Python Developer with extensive experience in building scalable backend systems, extracting complex data from the web, and integrating AI to solve real-world business problems. With a proven track record on Upwork, I specialize in transforming raw data into actionable insights and functional applications. 🚀 Core Expertise 1. Full-Stack Web Development (Django & More) I build high-performance, secure, and scalable web applications. Whether you need a complex backend or a sleek frontend, I’ve got you covered. Backend: Python, Django, Django REST Framework (DRF), Flask. Frontend: HTML5, CSS3, JavaScript (React/Vue/Integrations). Database: PostgreSQL, MySQL, SQLite, MongoDB. 2. Web Scraping & Data Extraction (Scrapy Expert) I have completed dozens of projects involving high-volume data extraction from complex websites, including those with anti-bot protections. Tools: Scrapy, Selenium, Beautiful Soup, Playwright. Specialties: E-commerce (Amazon, Shopify), Real Estate, Financial Data, and Lead Generation. Integration: Automatic exports to Google Sheets, CSV, JSON, or directly to your database. Platforms: Experience with Zyte, ScrapingBee, and custom proxy management. 3. AI & Automation I help businesses leverage AI to automate workflows. Generative AI: Implementing LLMs (like OpenAI/GPT) to create smart features, such as automated review response systems for reputation management. Deployment: I don't just write code; I put it to work. Proficient in AWS (EC2, Lambda, S3) and Digital Ocean for deploying scrapers and web apps. 🛠 Why Work With Me? Maintenance & Reliability: I don't just deliver a script; I build systems designed for long-term maintenance and stability. End-to-End Solutions: From data extraction to backend processing and frontend visualization. Clear Communication: I am proactive in reporting progress and finding the most efficient way to achieve your goals. Recent Projects Include: Development of a Reputation Management tool using AI to suggest review responses. Large-scale Real Estate and E-commerce data extraction systems. Custom Algorithm Backtesting and Stock calculation scripts. Multi-county tax scrapers and lead generation bots. Let’s discuss your project! Click the "Hire" or "Message" button, and let’s build something great together.