santiago saldivar

I'm a dedicated Data Analyst and Financial Professional with a strong background in trading and financial markets. My academic journey at Universidad Anáhuac Norte, where I earned a B.A. in International Business and a Diploma in Finance, laid the foundation for my analytical skills. I graduated with a GPA of 91/100 and received Academic Excellence Awards in 2021 and 2022. Recently, I completed a Data Analyst Bootcamp at TripleTen, where I honed my skills in Python, SQL, and data visualization.

In my professional experience, I have been actively involved in intraday trading and technical analysis since 2021, utilizing platforms like TradingView, MT4, and MT5. My role as a Trader has allowed me to conduct risk assessments and develop financial strategies that optimize returns. Additionally, I have served as an Employability Intern at Universidad Anáhuac Norte, where I managed job postings and enhanced student engagement through social media. Currently, I work as an Admin & Logistics Coordinator at MODADAMA, where I oversee inventory management and implement process improvements to enhance operational efficiency.

Here are some proyects that I´ve developed (you can find them in my github profile).

Professional Projects. Video Games Platforms. Analysis of the market tendency, sales, and other variables to see which is the best platform and who is most likely to be in the next gen of consoles. (python, pandas, numpy, seaborn) Car sales: This is a project that enables interactive visualization of data on car sale listings. The web application uses Streamlit and Plotly to generate interactive charts from the data. Histogram: Displays the distribution of car odometers. Scatter Plot: Shows the relationship between car price and mileage Optimize costs: This project analyzes data on visits, orders, and costs to evaluate the effectiveness of a commerce platform's digital marketing. Taxi Project. Analyze for a taxi company, in which is the best zone of Chicago to be, considering different factors such as high demanding zones, traffic, and weather. (SQL, Python) Food online Store: Conducted a comprehensive A/B test analysis for an online store, prioritizing hypotheses using ICE and RICE frameworks, analyzing key conversion metrics, and applying statistical tests to evaluate the impact of proposed website changes. Int online store: Developed and analyzed an A/B test for an international online store to evaluate the effectiveness of a new recommender system. Performed data preprocessing, funnel analysis, and statistical testing to assess conversion rates across user groups. books: Performed SQL-based data analysis to extract business insights from a relational database. Used JOINs, subqueries, window functions, and aggregation to identify key metrics and support decision-making.