SKILLS
• SQL (SQL Server, MySQL, PostgreSQL)
• Python (Pandas, NumPy, SciPy, Matplotlib,
Seaborn)
• Tableau
• Excel (VLOOKUP, Conditional Formatting, Pivot
Tables)
• Microsoft Azure (Data Bricks, Azure Data
Lake,Azure Data Warehouse)
• PySpark
• Microsoft Power bi
CAPSTONE PROJECTS
DATA SCIENCE_ EDA – Bangkok October 2023
https://github.com/ShruthiRamesh02/Python/blob/main/EDA_World_Population_Data_Pandas_Shruthi_T_R.ipynb
Tools
Used: Python, Pandas, , Matplotlib, Seaborn
● Utilized Python to analyze 7000 data science world population data and gain insights on what it takes to land a job in
analytics
● Implemented Regex techniques to comb through the job descriptions and identified the key requirements
● Aggregated and visualized the data by using pandas, matplotlib and word cloud to compile a professional report
DATA SCIENCE_MACHINE LEARNING – Credit Card Approval Prediction– Bangkok September 2023
https://github.com/ShruthiRamesh02/Python/blob/main/Odin_School_Credit_Card_Capstone_Project_Shruthi_T_R.ipynb
Tools Used: Python, Pandas, Scikit-learn, CatBoost, Random Forest, Linear Regression Analysis, AdaBoost, Matplotlib
● Analyzed data, preprocessed, explored features, evaluated models.
● Employed oversampling techniques, including SMOTETomek, to handle class imbalance in the dataset and
improve model performance.
● Utilized machine learning models such as Random Forest, CatBoost, and AdaBoost for credit card approval
prediction. Evaluated the models using metrics such as precision, recall, F1 score, and accuracy.
● CatBoost excelled in precision, recall, F1 score, accuracy, making it ideal for credit card approval prediction.
● Emphasized robustness, generalization for reliable real-world predictions beyond training data.
● Applied regression and machine learning to produce a final model with an accuracy of 88% and lift of 34%
BUSINESS INTELLIGENCE SOLUTION IMPLEMENTATION– Capstone Project – Bangkok September 2023
https://github.com/ShruthiRamesh02/Python/blob/main/Hospitality%20Domain_Power%20BI%20Project_Shruthi%20T%20R.
pbix
Tools Used: Microsoft PowerBI, Word, My-SQL
● Utilized Python to perform BI analysis on 14,000 customer reviews of six major hotel chains
● Led the design and implementation of a Business Intelligence (BI) solution for Agoda, a classic hospitality chain,
to streamline sales data management and analysis.
● Successfully integrated scattered sales data from diverse sources into Microsoft PowerBI for centralized
management, Implemented comprehensive data cleansing and transformation procedures.
● Designed and developed interactive dashboards and reports in PowerBI, providing the sales team and
management with real-time insights into sales performance, Leveraged SQL to perform advanced analytics on
sales data, extracting actionable insights for potential sales improvements.
● The BI solution facilitated efficient sales data management and analysis, empowering Axon to make data-driven
decisions.