Here is what I bring to your project: 𝗚𝗜𝗦 & 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 End-to-end spatial data pipelines — from data gathering and cleaning through modeling and analysis. I work with both raster and vector data using Python, GDAL, Rasterio, GeoPandas, QGIS, and ArcGIS. At Loamist, I designed the geospatial database architecture and built automated data pipelines processing 100s of spatial datasets for biomass and sustainability initiatives. 𝗦𝗮𝘁𝗲𝗹𝗹𝗶𝘁𝗲 𝗜𝗺𝗮𝗴𝗲𝗿𝘆 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Land-use classification, feature extraction, object detection, and segmentation from satellite and aerial imagery. My published research used semi-supervised deep learning to detect informal settlements — a method that works with limited labeled data, which is the reality of most real-world remote sensing projects. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Classification, regression, clustering, time-series forecasting, and NLP. At Buggy TLC, I built the entire analytics platform from scratch for a high-volume car rental startup — including an in-house OCR system that automated processing of 10,000+ documents and anomaly detection pipelines for financial monitoring. 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Power BI, Tableau, Plotly, Streamlit — I build dashboards and interactive tools for both technical teams and non-technical stakeholders. I have designed operational dashboards used across multiple departments. 𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 — MS Data Science, Information Technology University Lahore — BS Geoinformatics Engineering, NUST — Published in IEEE Geoscience and Remote Sensing Letters — 7+ years working across GIS, remote sensing, data science, and ML I am open to starting with a small pilot task so you can evaluate my work before committing to a larger engagement.

Data Solutions: Automation, Scraping, Engineering, Analysis, Visualization, and Cleanup 🚀 👋Hello! Welcome to your one-stop solution for leveraging data and streamlining business processes. Specializing in empowering businesses to achieve their operational goals, from automating tedious manual tasks to deriving insights through data analysis and visualizations, I'm here to assist in guiding you towards data-driven decision-making. Data optimization processes don't need to be costly or reliant on subscription services. With experience in supporting non-profits and small-to-medium-sized businesses, I provide cost-effective solutions tailored to your immediate needs and long-term objectives. Expertise: ✅ Data Automation & Integration ✅ Data Visualization and Dashboard Development ✅ Data Clean-Up ✅ Web Scraping & API Calls ✅ Custom Web Applications (for solutions, visualizations, and automations) ✅ Data Modeling and Architecture Proficiency: ✅ Python ✅ R Programming Language ✅ HTML and CSS ✅ Google Analytics ✅ Marketo ✅ Flask Framework ✅ Plotly ✅ Power BI ✅ Tableau ✅ Salesforce ✅ Jobber ✅ And many more! Interested in elevating your data game? I'm here to help. Reach out and let’s discuss how we can achieve your goals together.

QuantConnect Backtest: Extensive QuantConnect consulting experience in Sector-Weighted PortfolioConstruction, Mean Reversion Strategies, Back-testing using both the traditional coding structure and the newer Algorithm Framework using an Alpha Model, Custom Universes, Big-Picture Testing using the ResearchEnvironment, Custom Data Import running LEAN directly on your own local platform, Use of MLFinLab with QuantConnect. Also using Polars as well as Pandas. ML: Trading System Corrective AI (based on Metalabeling of Lopez de Prado, Ernest Chan), Oxford-Man Momentum System using TensorFlow and PyTorch.. MLR3, Weka; Feature Clustering and Importance Ranking. Random Forest. XGBoost. R, Python and Java. NCFB: Major GUI Insurance data app (Policy Agent Desktop). Main implementor of the Membership Java Web Services which used advanced a Java object persistence framework (at my proposal) to access mainframe DB/2 databases directly. Major Telecom Web Services Implementation to Interface Workflow software with IBM z/Series Legacy Back-end vis Screen Scraping and CICS APIs. R: : Extensive time series forecasting and analysis experience, Commodities/options/stocks trading system testing tools, MLR3 including R6 objects IBM: IBM Cary Development Labs (subcontract via Computer Intelligence Incorporated) involved with VisualAge Test Group (Client-Server GUI Development Environment based on Smalltalk). Please see also Video and Slide Presentations listed below under Portfolios. .

The market doesn't wait. Neither does my code. I specialise in building live algorithmic trading infrastructure — execution backends, options signal engines, and broker integrations that run unsupervised in production. My systems are engineered to survive forced reboots, API failures, and market chaos without human intervention. If it touches live money, it has to be right the first time. Recent Engineering Work: - Live Options Signal Engine: Architected an asynchronous backend ingesting real-time equities and OPRA data via Polygon, utilizing a proprietary scoring model with ATR logic. Built a low-latency Supabase state persistence layer ensuring full trade-state recovery across server reboots. - CME Futures Execution & Architecture: Engineered a causally valid execution bridge for CME micro futures, eliminating lookahead bias in TradingView/Pine Script signals and managing resting OCO bracket orders. - Machine Learning & EDA: Executed multi-feature rule mining (LightGBM/XGBoost) on a 17,236-trade dataset to extract predictive Smart Money Concepts (SMC) rules for AI trading optimization. - Quantitative Risk Auditing: Conducted 10,000-path Monte Carlo survivability audits on CME MBO frameworks, stress-testing execution realism and adaptive drawdown governance. - Broker Execution Bots: Automated execution systems integrated with IBKR, Charles Schwab, and Angel One, managing dynamic lot scaling, live P&L tracking, and full crash recovery. Credentials: - PCPP1 & PCAP Certified - Flask open-source contributor (PR #5722) - Top Rated · 100% Job Success Score If you're building live trading infrastructure and need an engineer who understands both the code and the market mechanics — send me a message.

What sets me apart from other Data profesionals? I’m not here to throw buzzwords or jargon at you, I’m here to solve your problems with data. My mission is simple: deliver insights and solutions that directly move your business forward. I bring both the theory and application of data science to the table. I’ve helped clients generate $1.4M+ in sales, achieve 20-40% business growth, and win competitions that demand real-world, practical results — not just academic exercises. Whether you need a predictive model, a dashboard, or advanced analytics, I focus on impact. 🏆 Achievements: 1st Place in my most recent data analytics competition 2nd Place out of 2,000 participants — Codebasics Data Analytics Competition Top 3% — WNS Analytics Wizard Machine Learning Competition Google Data Analyst (via Vaco) Here’s how I help businesses like yours: ✅ Machine Learning & Predictive Analytics Classification, regression, clustering, time series forecasting XGBoost, CatBoost, ensemble models, deep learning foundations ✅ Data Cleaning & Preprocessing Automate messy data cleanup (SQL, Python, Pandas) Feature engineering that boosts model performance ✅ End-to-End Data Science Pipelines From EDA to production-ready models Clear documentation so your team can maintain what we build ✅ Marketing & Business Analytics Customer segmentation, churn prediction, lifetime value analysis Campaign ROI analytics, conversion optimization ✅ Dashboards & Reporting Looker Studio, Tableau, Power BI Automated reports that keep stakeholders informed I take the time to understand your business, not just your dataset. I communicate clearly, work transparently, and I’m committed to long-term partnerships just one-off projects. Let’s build something that makes a difference. Ready to get started? Let’s chat, I’m happy to discuss your project goals and how data science can help you achieve them.

I help businesses stop wasting hours on manual document processing by building Python, OCR, AI, and automation systems that convert messy documents into clean, structured, usable data. 🚀 My work is not just “OCR” or simple copy-paste automation. I build practical tools, Python scripts, REST APIs, and MVP workflows that can extract data from PDFs, scanned documents, invoices, receipts, purchase orders, bank statements, forms, reports, and images — then clean, validate, review, and export the results into Excel, CSV, JSON, Google Sheets, databases, or API-ready formats. ⚙️ What I can help you build: ✅ Python scripts for PDF, OCR, image, and data extraction automation ✅ PDF to Excel / CSV / JSON conversion workflows ✅ OCR pipelines using Google Vision OCR, Tesseract, OpenCV, PyMuPDF, and AI models ✅ Invoice, receipt, purchase order, bank statement, and form parsing systems ✅ REST APIs for document upload, processing, extraction, and export ✅ MVP tools for document processing platforms and internal business automation ✅ Human-in-the-loop review systems to improve accuracy before final export ✅ Excel automation, data cleaning, matching, validation, and reporting ✅ Google Sheets automation and structured data workflows ✅ Web scraping and API-based data collection when needed ✅ Custom automation tools that replace repetitive manual work 🧠 My main advantage: I combine strong manual data extraction experience with real Python automation skills. That means I understand both sides of the problem: 1. The accuracy needed when dealing with messy, real-world documents 2. The technical automation needed to process files faster and more reliably at scale I have worked on OCR and document automation projects involving scanned PDFs, financial documents, purchase orders, invoices, receipts, bank statements, forms, Google Drive OCR pipelines, Excel automation, structured data conversion, and AI-assisted document parsing. I also build review workflows where uncertain values are flagged for human review instead of blindly exporting incorrect data. This is especially useful for businesses that need high accuracy, auditability, and clean final outputs. 💡 Example workflows I can build: A user uploads PDFs or scanned images → the backend extracts the required fields → low-confidence or unclear values are sent to a review screen → the final approved data is exported to Excel, CSV, JSON, Google Sheets, or sent through a REST API. Another example: A business receives invoices, POs, or reports every day → a Python automation processes the files → extracts key fields and line items → validates the data → highlights missing or uncertain values → generates a clean Excel report ready for use. I care about building solutions that are practical, accurate, and useful in real daily work — not just scripts that work on one perfect sample file. If you have sample files, send me 1–3 examples and I can review the structure, suggest the best workflow, and explain the expected accuracy, cost, and implementation approach.

If your data is stuck in the wrong system, in messy files, or behind an awkward API, I can help. I turn complex data problems into working systems and usable deliverables. I help clients move data between platforms, automate manual work, clean up unreliable exports, and build workflows that save time and reduce errors. Whether the deliverable is a program they can keep using, or a clean CSV, Excel file, report, or database, I can make it happen. Most of my work is API integrations, ETL pipelines, backend automation, data processing, and data migrations. I'm at my best when the problem is not clean or perfectly defined. I'll solve that problem first. I build data workflows that are meant to hold up in real use. I work with complex APIs, big JSON or XML data files, elaborate schema, folders full of CSV and Excel files, and large datasets where correctness matters. The result is a cleaner dataset, a dependable program, or a responsive and well-designed workflow. If you need a dependable program, a solid new system, or a clean final dataset, I can help.

Most BI projects fail for the same reasons — dashboards no one opens, reports built by hand every Monday, and data spread across five tools that don't talk to each other. I help teams fix that. I build dashboards people actually use, automate the reports that eat your week, and turn scattered data into something you can decide on. WHAT I CAN HELP WITH → A Power BI or QuickSight dashboard that loads fast and answers the questions your team is actually asking → Moving messy Excel reporting into something automated and trustworthy → Building a clean SQL data model behind your dashboards so numbers stop disagreeing → Product and conversion analytics setup (Mixpanel, GA4) so you finally see where users drop off → A second pair of eyes on an A/B test, funnel, or KPI structure that doesn't feel right → Migrating legacy Tableau or Excel dashboards into Power BI or Amazon QuickSight WHAT I DO → Dashboard development → Power BI, Amazon QuickSight, Tableau, Looker Studio → Data modeling → DAX, Power Query (M), star schema, calculated measures → SQL Queries → PostgreSQL, Amazon Redshift, AWS Athena, Oracle, SQL Server, MySQL, BigQuery → Product analytics → Mixpanel, event tracking, funnel analysis → Reporting automation & Data Analysis → Python (Pandas, NumPy, Matplotlib), Power Automate, Make, Zapier, Excel → Executive reporting → KPI scorecards, drill-downs, mobile-ready layouts → Data cleaning & ETL → multi-source integration, validation, refresh schedules INDUSTRIES I WORK WITH Banking, fintech, telecom, digital products, e-commerce, and SaaS. If your data lives in AWS, a SQL database, an ad platform, or a spreadsheet someone refuses to give up, I can probably work with it. HOW I WORK Short discovery call or chat to understand what decisions the dashboard needs to support. A working draft within the first week so we iterate on something real instead of a spec. Documentation and a short handover so your team isn't dependent on me to keep using it. TOOLS Power BI • Amazon QuickSight • Tableau • Looker Studio • SQL (PostgreSQL, Redshift, Athena, Oracle, SQL Server, BigQuery, MySQL, ) • DAX • Power Query (M) • Python (Pandas, NumPy) • Mixpanel • GA4 • Power Automate • Make • Zapier • Excel • Google Sheets Send me a message and tell me what you're trying to solve. Happy to take a look and tell you honestly if I'm the right fit.

Experienced in python programming, data analysis and machine learning. UK-based and happy to have a quick chat on your projects!

Creative designs and Elegant solutions! 🙋 Jey here with a huge obsession on quality and performance and a huge talent for problem solving. 8+ years of experience. JavaScript developer with in depth knowledge of Google cloud, Google workspace and APIs. One of nine gurus with StackOverflow Google Apps Script Gold badge. 🔥My guarantees: 💎 Top of the line quality. 🧐 Attention to detail. ✝️ Integrity: No unnecessary or inflated code lines. Or unnecessary time billing. 🕓 Deadlines: Exceptional adherence to the agreed deadline. 😇 Friendliness: Easy to work with. I provide the following services: - Elegantly crafted solutions based on JavaScript/Google apps script - API integration specialist - GraphQL APIs like Shopify, REST APIs like Rapid API, Alphavantage, XTRF, Sports schedule APIs. - Automation specialist - Zapier/Make/Trello - Dashboard creation - with tools like Retool, Streamlit, Google sheets and Looker studio - Regex Expert - Text extraction/split/manipulation - Experienced in many programming languages like: JavaScript, Python and Shell - Performance and security are given top priorities - Data analysis based on: Google sheets, Pandas and SQL