Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 2

Accomplished Data Analyst with extensive experience in predictive modeling and data processing algorithms, as well as scripting language including python. Capable of Providing actionable business intelligence to support strategic initiatives and implement the solutions derived to improve return on investment.
Innkeeper’s Hub | Data Analysis Facilitator
 Developed a comprehensive curriculum covering the fundamental concepts and skills in data analysis,
including the selection of appropriate resources, textbooks, and software tools.
 Conducted engaging and informative lectures, demonstrations, and discussions to introduce and elucidate data analysis concepts and techniques.
 Cultivated a positive and inclusive classroom environment to promote learning and participation.
 Designed and administered assessments, such as quizzes and projects, to evaluate students' comprehension and progress.
 Actively participated in professional development activities, such as attending workshops, conferences,
and webinars, to enhance teaching skills and expand knowledge in the field of data analysis.

QLib Package | Python Developer
 Implemented the Python programming language and various Python packages to develop the QLib library.
The primary objective was to simplify data analysis and preprocessing tasks.

NeoDocto Inc. | Data Analyst Associate
 Collected and organized data from diverse sources, ensuring accuracy, consistency, and completeness.
 Identified and resolved issues related to data quality to maintain high data integrity.
 Utilized statistical techniques and data mining methods to analyze extensive datasets, including conducting
exploratory data analysis to identify trends, patterns, and relationships.
 Conducted quality checks on data analysis processes to ensure the accuracy and reliability of results.

Freelancer | Data Scientist
 Collaborated with diverse clients to comprehend their business objectives and translate them into data
analysis projects.
 Conducted exploratory data analysis, data preprocessing, and feature engineering to effectively prepare datasets for modeling. 
 Developed and deployed machine learning models for predictive analytics, customer segmentation
 Fostered collaboration with cross-functional teams to seamlessly integrate data science solutions into
existing workflows and systems.