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📊 Data Scientist & Analytics Consultant | BSc Accounting & Finance | MSc Data Science | UK Based I help businesses stop guessing and start deciding with confidence. Whether you have data scattered across five systems, dashboards nobody trusts, or reports that take days to produce manually, I come in and sort it out – from the messy raw data all the way through to clear, reliable outputs that people actually use. 🔍 What I do ▸ Data audits and validation: tracing KPIs back to their source and confirming whether the numbers are right ▸ Unified reporting: building a single source of truth across multiple platforms and business systems ▸ Dashboard development: Power BI, Tableau, and Excel reporting that non-technical teams can read and act on ▸ Predictive modelling: forecasting, trend analysis, and performance models built in Python, R, and SQL ▸ Financial analytics: P&L, EBITDA, cash flow, debtor days, margin analysis and other finance KPIs ▸ Ad hoc analysis: quick, clear answers to specific business questions 🏢 Industries I have worked across ▸ Manufacturing (including a 40,000-employee global organisation) ▸ Digital and ecommerce ▸ Financial services and fintech ▸ Supply chain and operations ▸ Marketing and commercial 🎓 Background BSc Accounting and Finance: so I understand what the numbers mean to the business, not just how to calculate them. MSc Data Science: so I can get into the data, validate it properly, and build robust models and reporting on top of it. 8+ years working with multinational organisations across complex, multi-system environments. 🛠 Tools and technologies Python · R · SQL · Power BI · Tableau · Excel · Xero · JobLogic · various ERP and CRM platforms ✅ How I work I am based in the UK, work to strict deadlines, communicate clearly throughout a project, and deliver work I am genuinely confident in. If my output does not meet your expectations, I will make it right.

Programming instructor & AI consultant — I teach C, C++, C#, Java, Python and help with AI integration, n8n automation, and prototype development for projects and startups. Hello — I’m Sohail, a Software Engineer. I’ve been on Upwork since 2020 and have 6+ years of professional experience, with a strong record of client satisfaction. I teach programming from fundamentals to advanced topics (OOP, data structures, algorithms) with a hands-on approach and practical exercises. As a technical consultant, I help clients with: - AI integration and lightweight models - Automation workflows using n8n - Prototype & MVP development (POC + demo) - Project scoping & architecture guidance What I Offer: - 1:1 or small-group tutoring (beginner → advanced) - Project-based lessons and code walkthroughs - Prototype development for business or academic projects - Code review, debugging, and optimization - Clear lesson plans, homework, and follow-up guidance Why Clients Hire Me: - 100% project completion rate - Practical: hands-on teaching style — I build with you - Experienced: multiple languages and real projects - Flexible: single sessions, short courses, or milestone-based prototypes Here’s what some of my students say about working with me: 1. “Sohail is an exceptional tutor! His expertise spans data structures in C++ and the basics like loops. His teaching style builds problem-solving skills and confidence.” 2. “Highly responsive, patient, and adept at tutoring Java programming — exceeded my expectations on short notice.” 3. “Clear explanations, helpful tips, and remarkable patience — an absolute delight to work with.” If you want focused learning or a working prototype, send a message and we’ll outline a plan in the first 30 minutes.

With 10 years of strong expertise in Data Engineering, Big Data Technologies, Python, Cloud Infrastructure, and Business Intelligence, I build end-to-end data platforms from ingestion and transformation to analytics-ready warehouses and executive dashboards. If you need clean, structured, and production-ready data architecture, I can design and implement it efficiently. What I Can Help You With Data Engineering & ETL: Building scalable ETL / ELT pipelines Apache Airflow & workflow orchestration Apache Spark, Hadoop ecosystem Python Batch & real-time data processing Data cleaning & transformation Data quality validation Workflow automation Big Data & Streaming: Apache Spark (batch & distributed processing) Kafka, Flink, Spark Streaming HDFS & Data Lake architectures Hive, Pig, HBase Distributed data systems Data Warehousing & Databases: Snowflake, BigQuery, Amazon Redshift Star Schema & Snowflake Schema design OLAP & analytical modeling Query optimization & indexing SQL (PostgreSQL, MySQL, SQL Server) NoSQL (MongoDB, Cassandra, Redis) Transaction & ACID compliance Cloud & DevOps: AWS (S3, EC2, Lambda, RDS, IAM, VPC, ECS, ECR, CloudFront, API Gateway) GCP (BigQuery, Dataflow, GKE, Cloud SQL, Cloud Storage) Azure (Data Factory, Storage, Data Lakes) Docker, Microservices & Kubernetes Terraform (Infrastructure as Code) CI/CD pipelines Scalable cloud architecture Cloud Migrations: AWS RDS, Google Cloud SQL, Azure SQL Database Moving workloads and applications between cloud providers (AWS to GCP, Azure to AWS, etc.) Leveraging microservices and containers for moving applications to the cloud Moving data between cloud storage systems, data lakes, and warehouses Rehosting applications or services in a new environment with minimal change to the codebase. Business Intelligence & Analytics: Power BI & Tableau dashboards DAX & Power Query KPI development Business performance reporting Data storytelling & insights Data Extraction & Automation: Web scraping using BeautifulSoup, Scrapy, Selenium, and Playwright Automated data extraction from dynamic and JavaScript-rendered websites API integration and structured data parsing CAPTCHA handling and rate-limit management Scheduled scraping workflows using Airflow and Cron Data cleaning, validation, and structured database storage

Your location data is only as valuable as what you can actually do with it. Most GIS projects stall because nobody builds the pipeline to turn raw satellite imagery and spatial datasets into decision-ready outputs. I build that pipeline, run the analysis, and deliver something stakeholders can act on. I help researchers, startups, local authorities, engineering firms, and environmental consultancies turn complex geospatial data into outputs that save time, cut costs, and drive better decisions. MSc in Geographic Information Systems from Sheffield Hallam University. 4 years working as a geospatial analyst, data engineer, and consultant across remote sensing, spatial data engineering, land use analysis, environmental monitoring, and end-to-end project delivery. Recent work: - Satellite screening pipeline for invasive alien plant species along the M1 motorway (J1-J20). Four years of Sentinel-2 imagery processed in Google Earth Engine, Random Forest classifier trained on 2,216 NBN Atlas records, survey area reduced from 120km to 28.7km (76% reduction), saving the client £45,000 to £183,000 per survey cycle. Delivered as an interactive web map with Google Maps navigation for field teams. - Built and run Orbis Monitor, a live satellite monitoring system tracking NDVI, NDBI, and NDWI across Sheffield properties with automated monthly change detection reports in GeoJSON and PDF. - 30-year land use change analysis for Dubai using harmonised Landsat 5, 7, and 8 in Google Earth Engine, covering cross-sensor harmonisation, supervised classification, and change detection. - Spatial vulnerability index for Barnet, joining multiple authoritative datasets to a financial risk model under strict accuracy and audit requirements. - Topographic surveys, contour mapping, site constraint analysis, and georeferencing for development projects across the UK and West Africa. - Structured spatial datasets and technical reporting for the CRESR Affordable Homes Programme at Sheffield Hallam, a multi-stakeholder project requiring full PostGIS database management and documentation throughout. What I deliver: - Geospatial analysis and mapping: land use change detection, environmental impact assessment, site suitability analysis, risk assessment, spatial statistics, choropleth and contour mapping - Spatial data engineering: ETL pipelines, PostGIS and PostgreSQL database design, raster and vector data integration, automated satellite processing, web GIS, API integration, Google Earth Engine workflows - Geospatial consulting and decision support: technical advisory, methodology review, feasibility analysis, cost-benefit analysis, reporting in Shapefile, GeoJSON, DWG, PDF, and interactive web map formats Tools: ArcGIS Pro, ArcGIS Online, QGIS, Google Earth Engine, PostGIS, PostgreSQL, Python (GeoPandas, Rasterio, Fiona, Pyproj, Scikit-learn, Shapely, NumPy, Pandas), GDAL, FME, SNAP, GeoServer, Leaflet, Pix4D, Agisoft Metashape, Git. The work I hand over is something you can use in a meeting, send to a client, or act on directly. If that's what your project needs, message me with the details.

Businesses don’t need more disconnected tools. They need smart systems that save time, reduce manual work, and make daily operations easier to manage. I’m an AI Automation Specialist, and I help businesses design and build practical automation workflows using tools like n8n, Make, Zapier, OpenAI, Claude, Airtable, Google Sheets, Google Docs, CRMs, APIs, and webhooks. My focus is simple: understand your current workflow, find where time is being wasted, then build a cleaner system that helps your business operate faster and more consistently. I can help with: • AI workflow automation • OpenAI, ChatGPT, Claude, and Anthropic integrations • n8n, Make, Zapier, and no-code automation builds • API and webhook integrations • CRM automation and follow-up workflows • Google Sheets, Google Docs, Airtable, and database automation • KPI reporting, dashboards, and automated reports • Email automation, ticket routing, and customer service workflows • AI knowledge bases and internal assistant workflows • Prompt templates, structured outputs, and JSON-based automation flows My process starts with understanding how your business currently works. I review your tools, data sources, manual steps, and bottlenecks. From there, I map out the automation flow, recommend the right tools, build the system, test it carefully, and make sure it is clear enough for you or your team to use confidently. I do not believe in building complicated systems just to make things look advanced. I focus on simple, reliable, and useful automations that solve real business problems. Whether you need to automate reporting, connect your CRM, create AI-powered workflows, improve customer response time, or reduce repetitive admin work, I can help you turn your process into a working automation system. Send me a message with your current workflow, and I’ll help you identify what can be automated and how to build it properly.

I specialise in challenging go-to-market projects, designing and developing devices, circuits and software where the assumptions are yet to be tested and specifications are early phase. Over 20 years I have delivered deep tech programmes for the MOD, NHS and delivered into clients including Abbott, J&J, PALL, and Fujifilm. My training in sensors, electronic circuit design, biochemistry and embedded AI edge systems will guide rapid progress. My PhD focused on machine learning of receptor structures for biosensing applications, combining electronics design, computational modelling of biological systems, and sensor development. Clients often arrive with an early-phase concept, a market need, and a scope that is unclear. My first job is to identify which assumptions actually matter, design the experiments that test them, and produce a proof of concept with real evidence behind it. For teams past that point, I take that foundation through full hardware development to a compliant, market-ready device with all the certificates of conformity. I build first prototypes in-house using my own prototyping equipment, without the cost or lead times of an external build house. I design and review electronic circuits and schematics, lay out PCBs in Altium Designer and KiCad, develop embedded firmware in C and C++, design and prototype wearables from concept through to enclosure in SolidWorks, and prepare the regulatory evidence required for CE marking, UKCA, and EU MDR submissions.