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Data enthusiast specializing in data analysis and science. Proficient in converting raw data into actionable insights through visualization, predictive modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Healthcare-Data-Analysis-with-SQL
March 18, 2026 – Present
This project delivers a structured analysis of healthcare data using SQL to derive actionable insights on patient utilization, hospital performance, and cost trends.
View ProjectCapstone-Project-1
December 8, 2025 – December 8, 2025
An end-to-end machine learning system that fetches real Binance crypto data, engineers technical indicators, generates Buy/Sell/Hold labels, trains predictive models, and evaluates strategy performance through backtesting.
View ProjectLogistic-Regression-heart-data
November 23, 2025 – November 23, 2025
Predicting whether or not a patient is at risk for cancer and should be brought in for additional testing.
View ProjectHospital-Patient-Records-Analytics-Project
October 5, 2025 – October 5, 2025
Analyzed hospital patient records to gain insights into admissions, readmissions, average hospital stay, visit costs, and insurance coverage. Used SQL-style joins, data wrangling, and visualization techniques to answer key business and healthcare questions.
View ProjectCustomer-Data-Join-Python-Pandas-
October 4, 2025 – October 4, 2025
Combined multiple customer-related tables using Python (Pandas) to perform SQL-style joins. Cleaned and merged datasets to create a unified customer view for analysis and reporting.
View ProjectTitanic-Survival-Prediction
October 4, 2025 – October 4, 2025
Built a machine learning model using Python and scikit-learn to predict passenger survival on the Titanic dataset. Applied data cleaning, feature engineering, and logistic regression for classification. Achieved solid accuracy and demonstrated the power of predictive analytics on structured historical data.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a proactive and self-driven approach to learning and applying data science concepts, which aligns with a culture of continuous improvement. The diversity of projects (healthcare, finance, general prediction) suggests adaptability and a broad interest in problem-solving. However, without information on collaborative projects or team experiences, assessing team collaboration and communication style for cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.