Description

“Unlock the power of your data! I provide professional data analysis that transforms raw numbers into clear, actionable insights. Whether it’s Excel, Power BI, SQL, or Python, I help businesses make smarter decisions, spot trends, and boost performance. Accurate, fast, and tailored to your needs—let’s turn your data into results!”

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Self-Employed
Data Scientist,Data Analyst
October 2025 - Today (8 months)
Analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights that support business decision-making.
Design, build, and evaluate predictive and statistical models for use cases such as customer lifetime value prediction, fraud detection, employee attrition, and sentiment analysis.
Perform end-to-end data workflows including data collection, cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA)
Apply machine learning algorithms and appropriate evaluation metrics (accuracy, precision, recall, R²) to ensure model reliability and relevance.
Translate complex analytical findings into clear, business-focused insights through reports, dashboards, and visualizations.
Collaborate with cross-functional stakeholders to define analytical requirements and deliver data-driven solutions in remote environments.
Develop dashboards and KPI reports to monitor performance, trends, and operational efficiency.
Handle imbalanced and noisy datasets using appropriate modeling and validation techniques.
Maintain well-documented, reproducible codebases using Git and GitHub.
Ensure data accuracy, integrity, and confidentiality while following best practices in data governance.
Continuously refine models and analytical processes based on new data and evolving business needs.
Directorate of Veterniary Services
Human Resource Attache
September 2023 - December 2023 (3 months)
• Streamlined and calculated employee leave days, improving accuracy and efficiency in leave management.
• Sorted and dispatched official correspondence, ensuring smooth internal and external communication.
• Maintained confidential employee records with diligence and accuracy.
• Assisted in preparing and updating payroll records, contributing to timely salary preprocessing
• Prepared HR documents, reports, and files as required.
• Developed strong administrative, organizational, and communication skills through daily operations.
• Ensured confidentiality of sensitive employee information and compliance with HR policies.
• Responded to HR-related queries and supported employee engagement initiatives.