DHRUV PATHAK

Business & Data Analyst with over 4 years of experience across fintech, hospitality, and government sectors. Expertise in delivering actionable insights and optimizing operations through data-driven decision-making using Python, SQL, Power BI, and CRM tools. Strong communicator adept at aligning technical teams with business objectives to implement scalable solutions. Seeking to leverage analytical skills in fast-paced, growth-oriented environments.

· IBM: Make an Impact with Data Analytics

· DataCamp: Introduction to SQL, Power BI, Python for Data Science

· Agile Business Analyst Foundation.

· Regression Analysis (RMIT): Built multiple regression models in R to predict credit card expenditure. Improved adjusted R² from 0.41 to 0.72 via feature selection and diagnostics.

· Forecasting Project (RMIT): Applied ARIMA, ETS, and Holt-Winters models to air passenger data; validated models using RMSE and residual plots.

· Classification Model: Designed a hybrid job title classifier using keyword mapping and weight-based scoring; achieved 95% accuracy in real-world dataset.

· Azure ML Studio: Built pipelines for cell phone price prediction and wine clustering with data cleaning, normalization, and model evaluation steps.

· Machine Learning: Investigated how different vehicle characteristics can affect CO2 Emissions using techniques like K- Nearest Neighbour, Random Forest, Decision Tree, and Support Vector Machine, with Decision Tree displaying the highest Accuracy.