Monica Baracho
Economist & Data Analyst | Turning data into insight
Economist & Data Analyst | Turning data into insight
Hi, I’m Monica Baracho — an economist and data analyst passionate about uncovering insights from data, building models, and supporting smart decisions. With experience in international trade, marketing analytics, and economic research, I bring a unique mix of analytical and communication skills to every project.
I’m skilled in R, Python, SQL, Excel, Tableau, STATA, and Power BI, and I’m always eager to tackle complex challenges and deliver actionable insights. Explore my projects below!
Challenge: Identify key drivers of customer purchasing behavior.
Tools Used: R, SQL, Excel, Tableau.
Actions Taken: Analyzed customer demographics, channel performance, and ad impact. Built predictive models to forecast behavior and identify high-conversion groups.
Results: Revealed income and education as key drivers. Delivered actionable targeting insights for campaign optimization.
Challenge: Investigate NHS appointment trends, capacity strain, and missed appointments.
Tools Used: Python, Pandas, Logistic Regression, VADER.
Actions Taken: Analyzed internal NHS datasets and Twitter sentiment. Modeled missed appointment risk (DNA) and capacity overuse.
Results: Highlighted 115% avg. utilisation and 4.7% missed slots. Recommended smarter rostering and sentiment-based response strategies.
Challenge: Evaluate the impact of Mercosur membership on Brazil's trade flows.
Tools Used: Stata, Gravity Model, Panel Data Econometrics.
Actions Taken: Built and estimated a panel model with bilateral trade data and policy controls.
Results: Found increased trade intensity with Mercosur countries. Provided policy insights for trade bloc strategy.
Challenge: Identify macroeconomic drivers of coffee price volatility.
Tools Used: R, Regression Modeling, Data Wrangling.
Actions Taken: Modeled monthly price variation against oil prices, currency strength, and global imports.
Results: Highlighted oil and FX rates as key predictors. Suggested real-time data use for better forecasting.
Challenge: Create a live tool to monitor Brazil’s trade and economic performance.
Tools Used: Python, Plotly, Dash.
Actions Taken: Built a multi-page interactive dashboard using trade, inflation, and commodity datasets.
Results: Enabled dynamic exploration of trade partners and sectors. Used by stakeholders to monitor export trends.