James Amezcua

WORK HISTORY

EDUCATION

ABOUT JAMES AMEZCUA

I am currently preparing for a position in Data with interest in the fields of sports, tech, business, finance/banking, e-commerce, marketing, healthcare, insurance, logistics and manufacturing. I am seeking an opportunity to provide my services for any organization looking to effectively utilize their data to discover insights and/or trends, perform ad-hoc duties, build and maintain pipelines/models, solve business questions and provide solutions to problems that it might come across. I am an individual with strong communication and interpersonal skills.I am focused, adaptable and dependable while also having the capability of working independently and responding quickly to the changing needs of the organization. Python- Data Preprocessing (NumPy, Pandas)- Statistical Data Analysis (StatsModels, SciPy)- Data Visualisation (Matplotlib, Seaborn, Plotly)- Machine learning (scikit-learn, PyTorch)- Web Scraping (Beautiful Soup, Scrapy)- Automation (Ubuntu/Linux, Terminal, Python scripts, building pipelines and dashboards)Microsoft Excel- XLOOKUP- Co-Pilot - Pivot Tables/Charts - Index/Match - Macros - IF - SUMIFSSQL- Data Storage, Orchestration and Transformation - BigQuery- Microsoft SQL Server- PostgreSQLTableau- Visualization and interactive dashboards :Statistics- Descriptive & Inferential - AB Testing - Confidence Intervals - Hypothesis Testing - ANOVA - T-TestAnalytics- Business analytics and key metrics (ROI, LTV, CAC, ROMI, etc.)- Business intelligence- Data Pipelines - Making business decisions based on data- Forecasts and predictions based on data- ETL process Machine Learning Algorithms- Linear Regression- Gradient Descent- K- mean clustering - Random ForestDeep Learning- Natural Language Processing- Computer VisionSoft Skills- Critical Thinking- Presentation Skills- Data Storytelling