I specialize in building AI SaaS platforms, LLM applications, automation systems, and high-performance web platforms using modern technologies like OpenAI, LangChain, Python, Node.js, and React. With 10+ years of development experience, I help startups and companies turn ideas into production-ready AI products. What I Can Build For You ✅ AI Chatbots (GPT / Claude / LLaMA) ✅ RAG Systems & AI Knowledge Bases ✅ AI SaaS Platforms ✅ Automation Systems & AI Workflows ✅ Intelligent Dashboards & Analytics ✅ Custom APIs & Scalable Backend Systems ✅ Full-Stack Web Applications Tech Stack AI / LLM: OpenAI, GPT-4, Claude, LangChain, LlamaIndex, Vector Databases Backend: Python (FastAPI, Django), Node.js (NestJS, Express) Frontend: React, Next.js, TypeScript Cloud: AWS, Docker, CI/CD, Serverless Why Clients Work With Me ✔ AI + Full-Stack expertise in one developer ✔ Scalable SaaS architecture ✔ Clean, maintainable code ✔ Fast communication & reliable delivery I focus on building AI systems that work in production, not just demos. If you're planning to build an AI-powered SaaS platform, automation system, or intelligent web application, let's discuss your project. JP Tiwari

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

Businesses don't need more data. They need clear answers that drive better decisions. I help organizations transform raw data into interactive dashboards, automated reports, and business intelligence solutions that improve visibility, measure performance, and support confident decision-making. Whether you're managing sales, finance, operations, marketing, or executive reporting, I build scalable reporting systems that eliminate manual work and turn complex datasets into meaningful insights. WHAT I CAN HELP YOU WITH • Power BI Dashboard Development • Business Intelligence Solutions • Interactive KPI Dashboards • SQL Query Development • Data Modeling • Data Visualization • Microsoft Excel Automation • ETL Pipelines • Power Query (M) • DAX Development • Financial Reporting • Business Reporting • Google Sheets Automation • Looker Studio Dashboards • Dashboard Optimization MY PROCESS Every project begins with understanding your business goals before writing a single query. I work closely with clients to understand their reporting requirements, connect and clean their data, build reliable data models, develop intuitive dashboards, and automate reporting workflows that save time and improve decision-making. The result is a reporting solution that's accurate, scalable, easy to maintain, and designed around the metrics that matter most to your business. TOOLS & TECHNOLOGIES Power BI, SQL, Microsoft Excel, Python, Power Query, DAX, Google Sheets, Looker Studio, ETL Pipelines, Data Modeling, Business Intelligence, Dashboard Development, Data Visualization, Financial Analysis, Automation. WHY CLIENTS WORK WITH ME • Business-first approach focused on outcomes, not just dashboards • Clean, interactive, and executive-friendly reports • Reliable data models built for long-term scalability • Automated reporting that reduces manual work • Clear communication and on-time delivery • Solutions tailored to your business objectives Whether you need a Power BI dashboard, automated reporting system, SQL analysis, executive KPI dashboard, or a complete business intelligence solution, I'm ready to help you transform your data into actionable insights. Let's build reporting solutions that help your business make smarter decisions.

Need data from a website without wasting hours copying and pasting? Need to extract and clean data from the web or automate a recurring data feed? I deliver accurate, one-time data exports and build robust, fully automated scraping pipelines using Python and SQL. My high-performance scripts and workflows easily handle large-scale datasets, manage complex rate limits, and clean every single record so your data is instantly usable. I'm Haitham Hany Gomaa, a Python developer and data specialist focused on building reliable web scraping solutions, automating data extraction, and transforming raw web data into valuable business assets. What I Offer: Web Scraping & Data Extraction: Build robust scraping solutions using Python (Requests, BeautifulSoup, Selenium, Playwright, Scrapy, lxml, XPath, and CSS Selectors) to seamlessly extract data from complex websites, business directories, REST APIs, and dynamic web applications. Data Cleaning & Processing: Clean, validate, deduplicate, and transform fragmented datasets using Pandas and NumPy, ensuring highly accurate, high-quality data that is completely production-ready. Data Mining: Extract valuable business intelligence from websites and large datasets, delivering structured data in JSON, CSV, Excel, or other formats tailored to your exact requirements. Database Integration: Store, organize, and optimize extracted data in relational databases using efficient schemas, clean structures, and optimized SQL queries. Automation: Develop automated scraping workflows that run on a schedule, monitor website changes, and reliably deliver fresh, up-to-date data. Why Work With Me? I focus on delivering reliable, maintainable scraping solutions—not just raw data. Every project is built with accuracy, clean code, and scalability in mind, ensuring the extracted data is immediately usable by your team. Whether you need a one-time data extraction project or a fully automated, recurring scraping pipeline, I'm committed to providing high-quality results, clear communication, and on-time delivery. Technologies: Python • Requests • BeautifulSoup • Selenium • Playwright • Scrapy • lxml • XPath • CSS Selectors • Pandas • NumPy • SQL • Relational Databases • REST APIs • JSON • CSV • Excel • Data Mining • Data Extraction • Automation Let's turn web data into actionable business insights. Ready to start? Let's connect.

Turn your inventory, demand, supply chain, and financial data into clear decisions, not just dashboards. I help businesses improve inventory visibility, demand planning, cash flow, and operational performance by connecting their data through Power BI & Excel dashboards, forecasting, supply chain analytics, and financial analysis. You get a clearer view of what’s happening, what’s driving it, where money is tied up, and what needs action next. So you can make faster decisions and improve your bottom line. I'm a Data Analysis as well as Supply Chain & Financial Analysis Expert Bridging Mathematics, Industrial Engineering, and Data Science to deliver real operational impact, not practice projects. Recent Results: - Automotive Power BI dashboard: killed a 48-hour manual reporting lag overnight - Retail dashboards (SQL, Tableau, Power BI): +15% sales, -20% stockouts, +10% forecast accuracy - Bank credit risk model in R: panel regression, R² of 0.91 - 99-stock portfolio analysis in Python: logistic regression, benchmarked vs Nasdaq What I Deliver: - Inventory optimization, demand planning, and forecasting - Power BI & Tableau dashboards that replace manual reporting overnight - Statistical and financial models in Python, R, and SQL - ERP/SAP and e-commerce data integration (Shopify, Amazon) Tools: Power BI, Tableau, SQL, Python, R, SAP, Excel, Snowflake Industries: E-Commerce | Retail | Manufacturing | Automotive | Banking & Finance | Logistics Every week without visibility into inventory or demand costs money in stockouts, excess stock, or missed forecasts. Send me your current numbers or a quick description of what's not working. I'll reply within a few hours with 2-3 concrete fixes you can act on, before we even talk about a full project.

Senior Data Engineer specializing in building data lakehouses and batch/streaming pipelines from the ground up on GCP, primarily in fintech and agritech. Experienced across the full platform stack: ingestion with Apache Beam/Dataflow, orchestration with Airflow, transformation with Dataform, and infrastructure with Terraform. Focused on delivering reliable, cost-efficient data platforms that directly serve analytics, risk and operations teams.

Is your data hard to read, hard to trust, or just sitting there unused? I help businesses turn raw data into clear, interactive dashboards and automated reports — so your team makes faster decisions with less manual work. What I deliver: ▪ Interactive dashboards in Power BI, Excel & Google Sheets ▪ Financial reports — P&L, Budget vs Actual, Cash Flow, KPI tracking ▪ Sales, HR & operational analytics ▪ Data cleaning & reconciliation (SAP, SQL, Excel, 1C, Google Sheets) ▪ Workflow automation — reduce manual reporting by up to 70% Who I work with: Finance teams · CFOs · Operations managers · Small & mid-size businesses · Startups Why clients choose me: ▪ 4+ years as Financial / BI Analyst at ADAMA Ltd. (Syngenta Group) ▪ Master's in Accounting & Data Analysis ▪ Top Rated | 100% Job Success on Upwork ▪ 0–4 hr response | Fast delivery | Clear communication I don't just build dashboards — I make sure your data actually works for your business. Ready to make your data useful? Let's talk.

✅ Top 1% Expert-Vetted on Upwork | 100% Job Success Score Will fix your broken ETL pipeline Reduce your cloud data costs Build dashboards that actually show profit Improve database performance Orchestrate your data infrastructure Key Skills and Expertise: Data Warehousing SQL Reporting ClickHouse AWS Redshift, Snowflake AWS QuickSight, Interactive BI Dashboards Custom ETL Pipelines Advanced Data Manipulations Python Programming Achievements: 1st Place in Regional Math Olympiad 1st Place in Regional Physics Olympiad SQL DML Specialist Certification Let's collaborate to transform your data into actionable insights and drive your business forward.

I've led and delivered data engineering and BI solutions for financial, enterprise, and cloud-native teams — covering everything from data ingestion and modeling to analytics and automation. If you need a senior data engineer who can design, build, and actually deliver production-ready systems, you’re in the right place. What I Can Help You With： 🔹Data Engineering & Cloud Data Platforms Build and optimize ETL / ELT pipelines for Snowflake, Databricks, SQL Server, and MySQL Design modern, scalable data warehouse architectures using Kimball modeling Migrate legacy systems (SSIS) to Azure Data Factory / Databricks with improved performance and reliability 🔹Automation & Orchestration Automate data workflows using Azure Data Factory, AWS Glue, and Power Automate Build reliable scheduling, monitoring, and error-handling for production pipelines 🔹Business Intelligence & Reporting Design Power BI dashboards for project tracking, financial reporting, and operational insights Build data models that support fast, flexible reporting for business users Integrate Power BI with Power Apps for data review and write-back scenarios 🔹AI-Driven Data Solutions Build intelligent data query and search tools using Snowflake Cortex Analyst, Cortex Search, and Cortex LLM Enable business users to explore data using natural language without writing SQL Technologies I Work With： 🔹Languages: Python, SQL, C# 🔹Data Platforms: Snowflake, Databricks, SQL Server, MySQL 🔹ETL & Orchestration: Azure Data Factory, SSIS, AWS Glue 🔹BI & Analytics: Power BI, Tableau, Excel (VBA) 🔹Cloud & SaaS: Azure, AWS, Salesforce 🔹Automation: Power Automate Why Clients Choose Me： ✔ 20+ years of experience as a senior data engineer and data team leader ✔ Hands-on delivery — not just architecture diagrams ✔ Experience managing and collaborating with global teams (U.S., India, Brazil) ✔ Strong communication with international clients to clarify requirements and avoid rework ✔ End-to-end ownership: ingestion → modeling → warehousing → analytics → automation Certification ✔ AWS Certified Data Analytics – Specialty If you're looking for a senior-level data engineer who can help you build, optimize, or modernize your data platform — and deliver results you can trust — feel free to reach out. I'm happy to review your requirements and suggest a clear, practical approach.

💼 About Me I’m a Data Engineer & Data Analyst with 4 years of professional experience in designing scalable data pipelines, automating ETL workflows, and delivering data-driven business insights. My core expertise includes Python, SQL, Power BI, IBM DataStage, and Web Scraping, helping organizations turn raw data into actionable intelligence. I’m passionate about solving complex data problems , from extraction and transformation to analytics and visualization ,ensuring every dataset tells a meaningful story. -------------------- 🚀 What I Do -------------------- 🔹 Design, build, and maintain ETL pipelines using IBM DataStage for full and incremental data loads. 🔹 Integrate and transform data from PostgreSQL, SQL Server, APIs, and flat files. 🔹Develop data validation and quality checks to ensure accuracy and consistency. 🔹 Automate data workflows using Python (Pandas, NumPy, Requests, BeautifulSoup, Selenium). 🔹 Create interactive dashboards and business reports in Power BI. 🔹Perform data cleaning, analysis, and visualization for actionable insights. 🔹Build custom web scraping solutions for data collection and trend analysis. I focus on reliability, scalability, and automation ,making sure your data systems perform efficiently and consistently over time. ------------------------- 🧠 Technical Skills ------------------------- Languages: Python, SQL ETL Tools: IBM DataStage, SSIS, AWS, Azure Databases: PostgreSQL, SQL Server, MySQL Visualization: Power BI, Excel Dashboards Automation & Analytics: Pandas, NumPy, PySpark, APIs Web Scraping: BeautifulSoup, Selenium, Requests Version Control: Git, GitHub -------------------------- 📂 Notable Projects -------------------------- 🔹 Microfinance Bank Data Pipeline: Designed and implemented a complete ETL process using IBM DataStage, integrating client, loan, and transaction data into a centralized SQL Server database. 🔹Shopify Sales Data Automation: Developed Python-based scripts to clean, merge, and analyze sales data, then visualized KPIs in Power BI dashboards. 🔹E-commerce Web Scraping: Built Python scraping bots (BeautifulSoup + Selenium) to extract product and pricing data from multiple online sources. 🔹Data Quality & Validation Framework: Created automated SQL and DataStage-based validation scripts to ensure consistent and accurate ETL data processing. These projects strengthened my ability to manage end-to-end data processes — from collection to insight delivery while maintaining quality and performance at scale. ------------------------------- 🎯 What You Can Expect ------------------------------- 🔹 Scalable, well-documented, and optimized data solutions 🔹 Timely delivery with clear communication 🔹 High data accuracy and performance-focused results 🔹 A proactive, detail-oriented, and reliable collaboration If you’re looking for a reliable Data Engineer or Data Analyst who can design end-to-end pipelines, automate workflows, and deliver insightful analytics . let’s connect and discuss how I can bring value to your project. 🚀