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Founder of Arkfield Analytics. I deliver financial modelling, data analytics, and risk consulting to businesses that need serious quantitative work without the cost of a large firm. My background is in actuarial analysis which means I approach every engagement with rigour around probability, uncertainty, and data integrity that goes beyond what a typical analyst or accountant provides. What I work on: - Financial models, cash flow forecasts, scenario and sensitivity analysis - Data analytics, KPI dashboards, and automated monthly reporting - Insurance pricing, risk modelling, and actuarial support - Statistical analysis and business intelligence I work across Excel, Python, and R and deliver clean, well-documented outputs you can actually use and maintain after handover. I take on both fixed-price projects and ongoing retainer engagements.

Hello, this is Sajjad. I have expertise in Artificial Intelligence, Data science, Deep Learning, and Computer Vision. The plus points I have are that I am good at understanding requirements, and I am good at finding the most specific and straightforward solutions for the given task. I have worked with Python, C++, Ruby, Javascript, and their frameworks. I love to learn new technologies, and I learn quickly. Expertise & Programming Languages ==================== Python Data Science Big Data Computer Vision Deep Learning/ Machine Learning Udemy E-Learning Ruby on Rails JavaScript, JQuery HTML, CSS, Bootstrap C, C++ SQL (mySQL, mySQLite)

🇦🇺 Australian, native ⚡ 15+ years of commercial experience 🚀 Clients across diverse B2C and B2B sectors in Oceania, Asia, USA, UK and EU 📑 Wide range of research, data and analytics services Combining rigorous market research with data science, I have developed expertise through roles in research, media, and analytics agencies. A university degree in Mathematics and Statistics provided the foundation for my journey into these fields. -- WHY ME? -- ⭐ Flexible and practical - worked with startups to large corporations ⭐ Easy to work with ⭐ Excellent time management and strong work ethic Market Research - Services Overview: ✔️Survey design - Quantitative and Qualitative ✔️Choice Modelling, MaxDiff, Experimental Design ✔️Pricing Research ✔️Branding Research & Tracking ✔️Biostatistics, small sample studies ✔️TAM, SAM, SOM sizing ✔️Ideas Testing and Validation ✔️Go-to-market strategy, pitch decks and investor presentations ✔️SWOT Analysis and Competitor Mapping ✔️Buyer Persona Creation and Segmentation ✔️Stakeholder Qualitative Interviews Data Science - Services Overview: ✔️Predictive Modelling and Machine Learning ✔️Sales Forecasting including Time-Series Forecasting ✔️AI - Generating synthetic data and predictive models ✔️Troubleshooting sales funnels issues - e.g., Shopify, Salesforce, GA4 etc. ✔️Advertising Effectiveness and Marketing Mix Modelling ✔️Customer Acquisition and Churn Analysis ✔️Sentiment Analysis (NLP) and Mind Mapping ✔️Structural Equation Modelling (SEM - PLS) ✔️Statistical Consulting ✔️Proof reading PhD theses and Masters level papers Software Expertise: ✔️R ✔️Python ✔️SPSS ✔️AMOS ✔️Excel & VBA ✔️SQL Data Visualisation: ✔️PowerBI ✔️Tableau ✔️Excel ✔️Looker Studio (Google Data Studio)

As a data professional with 10+ years of experience, I specialise in delivering impactful analytics platforms, scalable data engineering solutions, and innovative AI applications to solve complex business challenges across different industries and company sizes. Project Highlights: - Developed an AI-powered QA scoring system using GPT-4 to evaluate thousands of daily patient-practitioner chat transcripts, ensuring clinical accuracy and service quality at scale - Designed and implemented a global diabetes survey analytics platform, combining BigQuery, dbt, and Looker Studio for actionable health insights - Developed a robust credit risk model using Python and scikit-learn, deployed via API to handle real-time loan risk calculations for a financial services company - Built a scalable and high performing data analytics platform for a market leading real estate platform hosted in Google Cloud and BigQuery, designed to process and manage billions of data points per month Skills and Technologies: Data Engineering -- dbt, Docker, Spark, Databricks, Kubernetes, Airflow, Flyte/Union, Meltano, GraphDB Cloud -- GCP (BigQuery, Cloud Run, App Engine, Vertex AI), AWS (Redshift, Glue, App Runner, Bedrock AI) Code -- Python, SQL, pySpark, GraphQL, R, Bash, Git, Pandas AI/Data Science -- OpenAI, LLMs, Sci-kit Learn, Spark ML, Langchain, N8N, Pinecone Data Analytics -- Looker, Looker Studio, Metabase, Plotly, Segment, Mixpanel, Google Tag Manager

Former Lead AI Engineer (ex-Deloitte) with $10M+ in proven business value from automation & AI solutions. I've worked with companies such as Nvidia, Coles and Thales. 📌 I save $2M+ per year for Thales ($55.74B Market Cap) using automation. 📌 Added $1M+ in yearly revenue for a major agricultural company through automated AI systems. 📌 $450K per year saved for a government department through an AI document processing system. 📌 I've worked with global brands such as Nvidia ($6.8T Market Cap) and Coles ($31.06B Market Cap). Thanks for checking out my profile! I'm George, I pride myself on excellent communication skills, ability to understand business problems and knowing way too much about AI and automation (just ask my wife). I previously worked at Deloitte and was a lead AI engineer implementing automation solutions across large government departments, defence and private industry working on an estimated $10M worth of projects. When you work with me on Upwork, you will receive fast, high quality automation solutions tied to actual business outcomes with clean documentation and even video walkthroughs on how they work. I also provide consulting services around strategy and roadmaps for organisations wanting to implement AI & automation in a strategic manner. I create automations because I genuinely enjoy the process, I am great at it, and I absolutely love stretching my brain with new problems. I aim to provide exceptional value to my clients and my goal is always to develop long-term sustainable partnerships that allow us both to thrive. I sincerely look forward to guiding you through your automation journey. Let me know if you have any further questions, always happy to connect. Cheers, George

🌟 100% Job Success Rate 🌟 More than 20 years experience in client consulting 🌟 Highly experienced Sr Data Scientists consulting for major corporate enterprise clients 🌟 Proven team and technical leadership roles in the field of data science 🌟 Highly mature interpersonal communication skills able to work well with high level stakeholders 🌟 Problem solving focus, is collaborative, professional, and consultative I am a well rounded 🌎 data professional with experience in all the phases in the production of data products. I have a proven track record of deploying statistical and machine learning (ML) models into production.📉 👌 Former Lecturer/Instructor in Statistics and Analytics . 👌 Book author for Springer - in the field of math 📉. 👌End to end, full data science life cycle experience in all phases, from data analysis, data engineering and data science. 👌Proven track record in productionizing data pipelines in corporate enterprise infrastructure environment 👌Experienced in formulating a data strategy and data product design, development, and deployment to the building of road maps 👌 Has former client testimonies for your reference Skills and Knowledge ▮ Python Programming ▮ R Programming ▮ Software Version Control Git - GitLab, GitHub ▮ Power BI ▮ SQL Databases - Teradata SQL, MS SQL SERVER, ORACLE PL/SQL, MySQL ▮ Big Data - Snowflake and DataBricks ▮ Big Data - Hadoop & Spark ▮ Cloud Computing - Microsoft Azure ▮ Asure ML Studio ▮ Agile Project Tools - Jira and Confluence Education: 🎓 BS Mathematics 🎓 Master of Statistics 🎓 Master of Computing 🎓 Doctorate (PhD) in Mathematics/Computer Science Statistics and Machine Learning Modeling Experience 🌟 Use of Deep Learning applied to Financial Time Series Data 🌟 Use of Anomaly Detection applied to Sensor Data/IoT 🌟 Use of Time Series techniques for Product Demand forecasting 🌟 Use of Latent Class Modelling applied to Customer marketing, clustering and segmentation 🌟 Use of all types of regression for prediction on Marketing analytics data 🌟 Use of NLP for anomaly name detection & applied to recommendation systems 🌟 Use of Word Embeddings for cross customer x product recommendations Certifications: 🎖 R Programming 🎖 Foundations of Data Analysis 🎖 Deep Learning in R 🎖 Data Cleansing in R 🎖 Data Wrangling/Cleansing in R 🎖Big Data Development in Azure ML 🎖 Natural Language Processing (NLP) in R 🎖 Power BI 🎖Time Series Analysis In R 🎖Deep Learning in Python L P Cruz