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Data Science with less than a year in Data Analysis & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Data Science Professional with a strong foundation in Information Technology. Expert at transforming complex datasets into actionable insights using Python, SQL, and Machine Learning. Proven track record of managing end-to-end data pipelines and building interactive visualizations in Tableau and Power BI. Highly analytical and dedicated to solving real-world business challenges through data-driven storytelling.
Grow More Group of Diploma Engineering
Diploma in Information Technology · Information Technology
June 1, 2012 – May 1, 2015
Hotel Cancellation Prediction (Random Forest)
February 1, 2026 – February 28, 2026
Built a machine learning model to predict hotel booking cancellations. Performed data cleaning, feature engineering, and model evaluation. Improved prediction accuracy using Random Forest algorithm.
Airline Customer Satisfaction (Decision Tree)
February 1, 2026 – February 28, 2026
Created a classification model to predict customer satisfaction. Conducted data preprocessing and visualization to extract insights.
Retail Store Performance Dashboard (Tableau)
December 1, 2025 – December 31, 2025
Designed an interactive dashboard to track sales and regional performance. Enabled decision-making using filters and drill-down analytics
Data Science Pro
Fingertips Data Intelligence Solutions
March 23, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying data science to various business problems (hotel cancellations, customer satisfaction, retail performance). This indicates a problem-solving mindset. The listed soft skills suggest an understanding of collaborative work environments, but without behavioral assessment, cultural fit remains largely unvalidated. The projects are personal and lack team context.
Soft Skills & Operational Fit
The candidate lists soft skills such as Time Management, Quick Learning, Collaboration, Problem Solving, and Communication. However, there is no direct evidence or assessment data to validate these claims. Operational fit cannot be fully assessed without further interaction.