Keywords
Data Analysis
Machine Learning
SPSS (Software)
Data Visualization
R (Programming Language)
Python (Programming Language)
Power BI
SQL Databases
Statistics
Tableau (Software)
Artificial Intelligence
Algorithms
Automation
Relational Databases
Finance
Health Care
KNIME
NumPy
Pivot Table
Predictive Modelling
Visualization
Raw Data
Venta al por Menor
Presentations
Data Processing
Pandas
+ 16 more keywords
Attachments
my-resume-2023-09-24-22-05-47-1_030124.pdf
Please upgrade to the business membership to download freelancers' CVs.
Skills
pivot table and charts to extract actionable insights from raw data.., Excel Proficiency: Adept at using Excelfor data manipulation, analysis, and visualization. Proficient in creating complex formulas, Pandas, andMatplotlib to conduct in-depth data analysis and generate data-driven reports., Python Programming: Skilledin utilizing Python for data analysis and automation. Proficient in libraries like NumPy, enabling the retrievaland manipulation of data from relational databases. Experienced in writing complex queries to extract andtransform data., SQL Database Management: Proficient in SQL database management, R Language: Familiarwith the R programming language for statistical analysis and data visualization. Capable of using R to createadvanced statistical models and graphical representations., Tableau Proficiency: Competent in Tableau forcreating interactive and insightful data visualizations. Able to design and share interactive dashboards fordata-driven decision-making.. Power BI Skills: Skilled in using Power BI to transform data into visuallycompelling reports and dashboards. Proficient in connecting to various data sources and creating interactivedata presentations., including data preparation, SPSS Data Analysis: Proficient in conducting data analysisusing SPSS, and interpretation of results. Skilled in using SPSS for survey analysis and reporting., statisticalanalysis, allowing for predictive modeling and analysis of complex datasets., Machine Learning:Knowledgeable in machine learning concepts and algorithms, clean, Use KNIME to collect, andmanufacturing, retail, including healthcare, finance, and analyze dataextract valuable insights andworking in a variety of industries, Continuous Learning: Enthusiastic about staying updated with the latestdevelopmentsdata analytics and machine learning to apply cutting-edge techniques in data analysis.,Machine Learning, Data Analysis, Artificial intelligence