European Firms 2019-2025 Data Extraction

@mattafareed4848

Hello I can efficiently compile the 450 European non-financial companies from Refinitiv Eikon or Bloomberg, extract Revenue, Net Income, and EBITDA for 2019–2025, and deliver a clean, Stata/R-ready Excel or CSV with verified identifiers, source codes, and clearly documented data gaps. Regards Muhammad

@Shahzadanalyst

As an expert in Data Analysis and Data Science, I am highly experienced in working with large datasets and extracting targeted information from sources like Refinitiv Eikon and Bloomberg terminals. I have the skill set necessary to navigate these platforms adeptly and confidently, ensuring a clean, well-labeled Excel or CSV file for your specific requirements. Being highly proficient in Python libraries including Pandas, Numpy, Matplotlib, Scipy, and Scikit-Learn as well as my expertise in statistical analysis and time series forecasting, you can count on me to provide accurate data and enhance its value through insightful analysis. Moreover, confidentiality is a priority to me; hence, I assure you that I will only employ original source codes for meeting your data pulling requirements. You can rely on my prompt communication skills to clarify any doubts or questions you may have during the process. Similarly, my dedication level stays undeterred until I ensure your complete satisfaction with the project delivery. Looking forward to the opportunity of being part of this project!

@habib1433

Hello, I can accurately compile the requested 450-company panel dataset for 2019–2025 using Refinitiv Eikon or Bloomberg, including Revenue, Net Income, EBITDA, and all required company identifiers. I will provide a clean, Stata/R-ready Excel or CSV file with source codes and clear notes for any data gaps. I can ensure the data is carefully cross-checked and formatted according to your acceptance criteria. Feel free to message me to discuss the details. Kind Regards, -Habib

@christech1117

Hi, I'm Chris. Your build is a clean panel of 450 non-financial European firms across Technology, Healthcare and Consumer Goods, 2019–2025, with Revenue, Net Income and EBITDA plus ISIN, ticker, company, country and sector — banks and insurers screened out. I'd define the universe on the terminal first (sector + region + non-financial classification filter), pull the three indicators via the data API, then output a single UTF-8 spreadsheet keyed on ISIN×year that drops straight into Stata/R. A second tab documents the exact pull commands and any flagged N/A gaps, so every figure is traceable when you sample-check. I run scraping and automation pipelines that produce structured, verifiable output, so accuracy and reconciliation are the default. One thing decides the whole build: do you have a fixed constituent list or index for the 450, or should I screen the universe to reach exactly 450?

@mohamedhaithamX

Hello, I have more than 5 years experience in Data Extraction. I can finish this job in less than 24 hours and it will only cost you 18 USD. I really need this job as a beginner on this website to get more reviews. I would appreciate the help. I'm looking forward to your reply! Thank you.

@nayabshehroz

Hello, I can help you with your work accurately and efficiently. I have 5 years of experience in Data Entry, Fast & Accurate Typing, Microsoft Excel, Word, PowerPoint, Virtual Assistance, and Administrative Support. I’m detail-oriented, reliable, and careful with instructions and data. I can create `A single spreadsheet containing 450 firms × 7 years of data (2019-2025) • Columns: ISIN, Ticker, Company Name, Country, Sector, Revenue, Net Income, EBITDA • A brief note or separate tab describing any data gaps and the exact Refinitiv or Bloomberg commands Acceptance criteria and make sure the work is completed accurately and on time. I’m ready to start immediately and would be happy to discuss the project details. Best regards, Nayyab

@Wonitaf

Hi there, I love diving into data projects like this, and I’m confident I can deliver exactly what you need. I've successfully completed similar data extraction tasks from Refinitiv and Bloomberg, so I understand the nuances involved in pulling accurate financial indicators. I see you're looking for a clean, well-labeled Excel or CSV file with all the essential identifiers for 450 non-financial firms across Technology, Healthcare, and Consumer Goods. I’ll make sure to include everything you mentioned, like Revenue, Net Income, and EBITDA, along with the necessary notes on any data gaps. I specialize in data extraction and analysis, and I pride myself on my attention to detail. You can count on me for speedy communication and a fast turnaround. Let me know if you are available for a quick chat! Regards, Wonita

@pooja10verma

As an experienced Full Stack Developer and Mobile App Developer, I may not be exactly the traditional candidate for this project but I assure you I have all the skills and dedication you need. Extracting data and organizing them in a way that is both easily verifiable and usable is bread and butter for me. My expertise in handling large datasets coupled with my extensive knowledge of Excel allow me to navigate complex platforms like Refinitiv Eikon or Bloomberg terminals with ease. While my focus has primarily been on developing web and mobile applications, I'm no stranger to extracting data from different sources, ensuring their quality, and presenting them in a comprehensive manner. I am masterful in my tool usage and can leverage these terminals to give you exactly what you need- a clean, well-labeled Excel or CSV file with precise column headers, year stamps, and cross-verification possibilities which will make the integration on Stata/R straightforward. I wouldn't be satisfied with just providing a dataset; rather, I'd go that extra mile by adding additional value in the form of your indicated notes or separate tab describing any data gaps and the exact Refinitiv or Bloomberg pull commands used. In addition to providing clarity on the figures, it may prove useful for future updates or investigation purposes. My adherence to detail will ensure your acceptance criteria are not only met but exceeded. Let's turn this vision into an irrefutable reality!

@amithvardhan99

With my combined skills in Data Science and data handling, I am confident I can effectively tackle your project. With 2+ years of experience in Data Science, I have strong expertise in handling and manipulating large datasets, including data from platforms such as Refinitiv Eikon and Bloomberg terminals. This enables me to extract data efficiently and accurately while maintaining data quality. My proficiency in Excel allows me to deliver clean, well-structured, and properly labeled Excel or CSV files that are easy to import, review, and cross-verify. I also have strong problem-solving skills to identify and resolve data gaps, inconsistencies, and discrepancies while matching Refinitiv/Bloomberg figures. Along with the required dataset, I can provide a separate tab or brief documentation outlining any data gaps, assumptions, and specific commands or steps used during extraction. This will make the process transparent and simplify troubleshooting or verification. I am detail-oriented, committed to meeting deadlines, and focused on delivering accurate results. I also value clear and professional communication throughout the project. With my combination of technical expertise, attention to detail, and familiarity with financial data platforms, I can deliver reliable results efficiently and accurately.