Dhruv Pathak

Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. Seasoned collaborator experienced in meeting needs, improving processes and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills.

MACHINE LEARNING: (PYTHON)

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

TIME SERIES: (R STUDIO)

Predicted electricity consumption data for the Victoria Region over the upcoming ten years.

REGRESSION ANALYSIS: (R STUDIO)

Developed a regression model to predict garment manufacturing productivity factors.

INTRODUCTION TO STATISTICAL COMPUTING: (SAS)

Analyzed average wages in various occupation groups across five years in the United States.

DATA VISUALISATION: (R STUDIO)

Visualized and analyzed the United States health care insurance charges over the four major regions, namely, Southeast, Northeast, Northwest and Southwest.

CONSUMER BEHAVIOUR:

Conducted in-depth analysis of the non-alcoholic beverage market in Australia.