World Happiness Analysis | R
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Analyzed global happiness data of 155 nations spanning 2015-2019 via R.
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Spotlighted Finland’s peak happiness scores and discerned primary contributors using R visuals.
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Leveraged R to garner a deeper comprehension of evolving happiness metrics.
R
Centralized Metallic Company Database
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Implemented an ERP module in SQL Workbench that encapsulated sales, purchase, and fiscal sectors.
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Bridged SQL with NoSQL MongoDB, ensuring seamless MYSQL and Cypher query compatibility.
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Employed Python and Tableau for vivid data visualization and meticulous analysis.
SQL, Python, Tableau
Depression, Stress, and Anxiety Prediction Analysis
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Analyzed mental well-being surveys in Python to discover patterns in personality responses.
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Predicted depression with a staggering 98.4% accuracy using Logistic Regression in ML.
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Undertook extensive data sanitization and employed classification algorithms for penetrative insights.
Python, Machine Learning
Airline Customer Satisfaction Prediction
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Cleaned and analyzed a 120K-record dataset, conducted statistical tests, and derived insights.
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Implemented KNN, Decision Tree, and Random Forest models with hyperparameter tuning, achieving 95% customer satisfaction prediction accuracy.
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Identified key factors impacting customer comfort through data modeling and visualization.