Study material for data mining project

Hello. From your job description I have learned that the requirements you have asked for are possessed by me very well. I am a graduate of computer science. Also, I have several good records in this field as I have been working in this field for about 6+ long years. I have Great experience in Data visualizations and Automations, building dashboards using Excel, Google Sheets, i am proficient in VBA, Gscript e.t.c I have great expertise on Data entry and excel and Analysis. also have proficiency in MS office, Google analytics and QuickBooks and 10-Key KPH typing speed with zero errors. Working with me will surely bring you many good as I am very creative and persuasive in nature. Also, I can handle things diplomatically with full professionalism. With full guarantee, I can assure you the uke deliverables you have asked for in the job description. Regards Atemenu . D

HELLO DEAR EMPLOYER, First receive warm greetings, and hoping you are good, i welcome you to the home of Amazing services and quality. I kindly take this chance to inform you that i have checked your project (Study material for data mining project); I'M AN EXPERT IN NAMED SKILLS, OVER 18 YEARS OF EXPERIENCE, After KEENLY reading your description and being in possession of all CLEARLY STATED REQUIRED SKILLS (T-SQL (Transact Structures Query Language), Excel VBA, Data Mining, Microsoft SQL Server and SQL) as this is my area of PROFESSIONAL SPECIALISATION having the above QUALIFICATIONS, i hereby humbly request you to consider my bid for QUALITY and PROFESSIONAL work. ###No Upfront payment// No timeline & Quality Excuses// Unlimited Revisions// Milestone payment STRICTLY after 100% Client Satisfaction### Message Me We Discuss More About The Project. THANK-YOU & WELCOME.

DATA MINING EXPERT Hi there! Thank you for sharing your project requirement, I have carefully read the project description and I would like to take part in this project. Inbox for further discussion Thank you

Ingeniero de sistemas con experiencia en el análisis de datos, especialmente con tecnologías de Microsoft como lo son T-SQL, SSIS, Power BI, Excel, entre otros.