Fernando Amaya Email and Phone Number
Fernando Amaya work email
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Fernando Amaya personal email
Data Analyst | Data Scientist | Business Intelligence Specialist | Business Analyst | BI Consultant | Process Consultant | Master in Computer Science | Undergrad Business AdministratrionPortfolio Website: https://www.fernandoanalytics.com/--------------------------------------------------------------------------------------------------------------------------------Hey everyone, Fernando Amayas here 👋🏼As a (Big) Data Professional, I am deeply passionate about harnessing the power of data to solve complex problems and drive strategic decisions. With a foundation in freelance projects and independent study, I have developed practical skills in data analysis, visualization, and modeling. My hands-on experience includes creating detailed dashboards, generating insightful reports, and building data-driven models that reflect real-world business applications.Key Projects & Skills:Dynamic Dashboards: Designed and implemented dashboards using Tableau and Excel to visualize data trends and support business decisions.Data Analysis & Reporting: Performed comprehensive data analysis to uncover underlying patterns and provide actionable insights through tailored reports.Automated Data Workflows: Developed automated solutions for data extraction, data cleaning and transformation to enhance efficiency and accuracy using Python and SQL on Big sets of data.Freelance Contributions: Collaborated with clients on data-centric projects to optimize operational performance and increase data accessibility.My approach combines a strong analytical mindset with a commitment to developing scalable data solutions. I am eager to leverage my skills in a more formal data science role, where I can contribute to impactful data strategies and innovations.Technical Proficiencies:Programming Languages: Python, SQLTools & Platforms: Excel, TableauSpecialized Skills:Data Cleaning & Preparation: Proficient in identifying and correcting data inconsistencies, handling missing data, and implementing imputation techniques to ensure robust datasets.Predictive Analytics: Utilizing statistical tools and machine learning algorithms to create predictive models from large datasets.Data Visualization: Designing intuitive visualizations that clearly communicate complex findings to diverse audiences.Statistical Analysis: Applying statistical methods to derive insights and support decision-making processes.Machine Learning: Developing and deploying machine learning models to uncover patterns and predict future outcomes.
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Kehe DistributorsDallas, Tx, Us -
InternSmb Capital Sep 2023 - May 2024New York, Us● Developed a predictive model using Excel and Python to systematically rate potential volatility in stock prices based on earnings report thresholds for revenue and EPS, enhancing investment decision-making processes. ● Created statistical models to predict market movements and assess risk by analyzing big datasets with Python and Excel.● Collaborated in teams to create data driven scanners using Python and Thinkscript from live data to identify optimal stocks for daily trading activities. -
Account ManagerLemon Jan 2022 - Jan 2023Dallas, Tx, Us● Managed over 100 client accounts, ensuring tailored data-driven solutions that consistently meet and exceed expectations.● Proven track record in identifying and resolving client issues through analytical approaches and data insights, enhancing account stability and customer loyalty. ● Exceptional ability to communicate complex data and analytics concepts clearly and effectively to managers and stakeholders. ● Oversaw the recruitment process from initial interviews through onboarding, ensuring a smooth transition and integration for new hires. -
SupervisorLindenwood University Aug 2020 - Jan 2022St. Charles, Mo, Us-Provide outstanding customer service to reach customer satisfaction-Delegate daily tasks amongst other employees to keep facilities up to expectations-Enforce all building policies and procedures-Assist guests with questions and concerns-Maintain open communication with building staff -
Front Desk AttendantLindenwood University Jan 2020 - Aug 2020St. Charles, Mo, Us-Greet, assist, register, and give tours if needed to guests-Basic cleaning duties to keep up with State Regulations-Referred guests to managers if necessary-Managing student accounts and memberships
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Food Service WorkerPedestal Foods Jan 2019 - May 2019Nashville, Tennessee, Us• Customer Service • Reviewed account information for students’ accounts and charges made • Collaborated with part of the maintenance staff to keep the facility up to expectations
Fernando Amaya Education Details
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Campbellsville UniversityComputer Science -
Lindenwood UniversityGeneral
Frequently Asked Questions about Fernando Amaya
What company does Fernando Amaya work for?
Fernando Amaya works for Kehe Distributors
What is Fernando Amaya's role at the current company?
Fernando Amaya's current role is Data Analyst | Business Intelligence Specialist | Business Analyst | Python, Excel, SQL, Tableau, Power BI | Master in Computer Science | Undergrad Business Administratrion.
What is Fernando Amaya's email address?
Fernando Amaya's email address is fa****@****ood.edu
What schools did Fernando Amaya attend?
Fernando Amaya attended Campbellsville University, Lindenwood University.
Who are Fernando Amaya's colleagues?
Fernando Amaya's colleagues are Karen Koehler, Shari Quinn, Jamona Jackson, Arturo Chavez, Kevin Cortes Machado, Michelle Dufresne, Dean Winkelmann.
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