Remote Data Entry Specialist Resume - Data Analyst Proficient in SQL

Hebert Jossue Toledo Valdovinos

Data Analyst

Morelia, México ********@*****.*** +52-443-***-**** LinkedIn Github Professional Profile

Data Analyst with hands-on experience supporting operational decision-making through data cleaning, validation, and structured reporting. Skilled in SQL, Python, and Excel to analyze large datasets, identify inconsistencies, and deliver reliable, business-ready insights. Proven track record improving data accuracy, automating workflows, and reducing manual analysis time in real-world environments. Experience collaborating with non-technical teams to resolve data issues and support daily operations. Currently pursuing a degree in Artificial Intelligence Engineering while strengthening expertise in analytics and business intelligence tools. Technical Skills

SQL Python Excel Power BI (basic dashboards & data visualization) Business Intelligence Business Metrics

Data Cleaning Data Validation Exploratory Data Analysis (EDA) ETL Experience

Data Specialist – Payroll Analysis

Ministry of Public Education (SEP)

Apr 2025 – Present

Analyze large-scale payroll datasets using SQL to identify inconsistencies, missing payments, and operational anomalies across historical records.

Perform data validation and root-cause analysis to determine origin and impact of payroll discrepancies. Automated data extraction, cleaning, and reporting workflows using Python, reducing manual processing time by 30%.

Deliver clear, structured reports and insights to administrative teams, enabling faster resolution of payroll issues and improving decision-making.

Key Achievements:

Reduced payroll errors by 25% through implementation of automated validation checks. Improved dispute resolution accuracy by 30% via standardized data reconciliation processes. Decreased monthly analysis time by 30% through workflow automation. Projects

Betabank – Customer Churn Prediction 2024

• Built a churn prediction model using a Decision Tree classifier.

• Optimized model performance using a custom classification threshold.

• Achieved F1 score of 0.597, balancing precision and recall for business relevance. Zuber – Exploratory Data Analysis & Hypothesis Testing 2024

• Conducted EDA to analyze the impact of weather conditions on ride duration and demand.

• Applied statistical hypothesis testing (T-test) to validate findings.

• Delivered operational and marketing recommendations based on data insights. Rusty Bargain – Used Car Price Prediction 2024

• Developed a machine learning model to estimate used car prices.

• Performed data cleaning, feature selection, and visualization to improve accuracy. Education

Bachelor’s Degree in Artificial Intelligence Engineering Hybridge Education (Online)

Sep 2025 – Expected Sep 2028

• Building a strong foundation in algorithms, programming, data analysis, and machine learning.

• Focused on applying AI and data-driven solutions to real-world business and operational problems. TripleTen LatAm Data Scientist Marzo 2024 – Abril 2025

• Training in data analysis, predictive modeling, and machine learning.

• Hands-on projects using Python, SQL, and visualization libraries to solve business problems. Languages

Spanish (Native) English (C1)

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