Greetings, I am searching for a basic Copy Editor and Proofreader to perform ongoing copy editing and proofreading for contemporary romance content. Edits will need to be executed in Suggestions Google Docs(Chromebook). Please only apply if you are skilled with Google Docs Suggestions (Chromebook). I'm looking for a Copy Editor/Proofreader who does not take long to reply, and who can turn around a project from time to time a moment’s notice. Sometimes we need various things edited on a whim. I really need a professional basic Copy Editor/Proofreader who is an exceptional communicator. Our rate is $0.003/word per book for copyediting and proofreading. We offer constant, predictable work. Please submit one of your most recent one-page copy-editing work samples, your usual turnaround time, your skill level, education, and what type of books you prefer to read. When you apply, make the first words on your application “reading is entertaining.” Looking forward to hearing from you in the near future.

My company just launched a new Google Ads campaign about two weeks ago. However, according to Google Ads, we've only received one conversion over that time period (most likely me testing by clicking on an ad) despite receiving over 500 clicks (keyword planner predicted 90+ conversions per month). Our conversion tracking is set up via Google Tag Manager and when I tested it in the debugger view, it shows that the tracking is firing properly. That said, I think there might be a disconnect somehow with the conversion tracking — I think the conversions are far too low to just have the landing page be the only culprit for the issue. I'd love help reviewing what we have set up and seeing if we can identify any issues that are preventing us from receiving conversion data.

We need a long-term script writer who loves politics and is familiar with writing YouTube scripts. If you are really good at storytelling, then you're the one we are looking for. We are doing the 2024 presidential election predictions. So there will be a lot of research and numbers. Exactly like this: 1. https://docs.google.com/document/d/1Rk1eryoRUySRoIpZD552Yh_ao-L1ANtB54AQ9rfK-d8/edit?usp=sharing 2. https://docs.google.com/document/d/12Igv4x1bnxrqOPx7JLxtI0GQFk0vmvFFZxxA6Z9qWVU/edit?usp=sharing $280 is per month based on 8 scripts every month. Each script is around 2500 words with a $35 payment. Long-term bonuses and raises are included over time. Reply "banana" if you read the entire thing. Thank you!

US Only job Attach your similar projects. We are looking is have an innovative system designed to optimize purchase decisions for a small business specializing in the refurbishment and sale of IT products, such as laptops and PCs, across multiple online platforms (Amazon, eBay, Shopify). The system aims to use data-driven insights to rank products based on profitability and stock levels, facilitating smarter buying decisions. It will feature interactive 'Buying Requirement Sheets’ for use by purchasing team members, historical purchase records, and supplier data to assist purchasers in the buying process. It will also provide various detailed sales analysis reports as well as employing machine learning to spot golden nuggets or likely areas of increased profitability. Technical Scope: Full-Stack Development: Build a user-friendly interface for inputting and displaying data, integrating with real-time sales feeds, and managing user access based on credentials and IP. Data Science & Analysis: Implement algorithms to analyse sales data, calculate profit and loss in real time, and project future sales trends. Machine Learning: Develop models to identify patterns in sales data, suggesting products with the highest return on investment based on historical performance and market trends. Requirements: Experience in building scalable full-stack applications, preferably with knowledge of Python, R, Node.js, Express, and relevant front-end technologies. Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow). Familiarity with database management (PostgreSQL, MySQL) and cloud platforms (AWS, Azure, Google Cloud) for deploying and scaling applications. Understanding of e-commerce dynamics and the ability to integrate with FileMaker Pro (internal) and external APIs (Amazon, eBay, Shopify) for real-time data fetching. Project Goals: 1. Dynamic Profit & Loss Calculation: Real-time tracking of sales and costs to determine profitability. 2. Purchase Recommendation System: Use current stock levels and profitability projections to generate ranked buying lists. 3. Historical Data Analysis: Leverage past purchase and sales data to forecast trends and inform buying decisions. 4. Machine Learning Insights: Identify profitable product characteristics and optimize inventory based on predictive analytics. Data Handling: - Real-time and historical sales and cost data integration. - Automated and manual data entry options for cost and sales price adjustments. - Security measures for data access and manipulation. Considerations: - The interfaces should be intuitive for users with varying levels of technical expertise. - The system will augment existing processes (e.g., FileMaker Pro for production flow and management), requiring seamless data exchange capabilities. - AI as a future extension to become involved in purchasing - searching and finding stock. Closing: We are seeking a dynamic Full-Stack Developer with expertise in Data Science and Machine Learning & AI more widely to join our project. The ideal candidate will bring innovative solutions to complex problems, helping us achieve our goal of maximizing profitability through data-driven decision-making. Machine Learning Insights: The core of our machine learning initiative within PERCY is to uncover hidden trends and profitability factors across a vast array of product categories and characteristics. Our inventory, including refurbished and upgraded items, spans numerous categories (e.g., laptops) and sub-categories (e.g., laptops-traditional, laptops-DELL), with each products featuring up to 25 distinct characteristics. These characteristics range from hardware specifications (Manufacturer, CPU Generation, Screen Resolution, SSD size, etc.) to sales channels (Amazon UK, eBay Germany, Shopify, etc.). Our objective is for the machine learning model to analyse these dimensions to identify highly profitable and fast-selling combinations of characteristics. For instance, discovering that laptops with a 7th Gen CPU, VPRO capability, and 2TB Gen 4 NVME drives yield 30% higher profits and sell 50% faster than other configurations would be invaluable. Such insights will enable us to prioritize refurbishing efforts and inventory purchases towards the most lucrative products, significantly impacting our ROI and sales velocity. This machine learning functionality will not only automate the identification of profitable trends but also adapt to evolving market conditions, ensuring our buying and refurbishing strategies remain ahead of the curve.

We need a long-term script writer who loves politics and is familiar with writing YouTube scripts. If you are really good at storytelling, then you're the one we are looking for. We are doing the 2024 presidential election predictions. So there will be a lot of research and numbers. Exactly like this: 1. https://docs.google.com/document/d/1NGUXUGwpbZeIV7cmBJG8WuCHm1dycDWwewrFsbqvIwg/edit?usp=sharing 2. https://docs.google.com/document/d/12Igv4x1bnxrqOPx7JLxtI0GQFk0vmvFFZxxA6Z9qWVU/edit?usp=sharing $280 is per month based on 8 scripts every month. Each script is around 2500 words with a $35 payment. Long-term bonuses and raises are included over time. Reply "banana" if you read the entire thing. Thank you!