I am a passionate Data Analyst with a strong foundation in physics and a keen interest in science, technology, and the transformative power of data. My journey has been marked by leveraging advanced analytical skills and innovative thinking to solve complex problems and deliver actionable insights.
I specialize in extracting meaningful stories from data, creating impactful visualizations, and driving data-informed decision-making. My professional experiences include roles in logistics, and research, where I have optimized processes, uncovered trends, and aligned strategies with organizational goals
As a physicist, I have been involved in cutting-edge projects in nanotechnology, presenting my work at academic conferences and collaborating with multidisciplinary teams. My self-driven approach to learning has also enabled me to independently execute personal projects, such as developing interactive dashboards and applying machine learning techniques for operational enhancements.
I thrive on creativity, collaboration, and continuous improvement, and I aim to combine my technical expertise with a passion for innovation to make a tangible impact in the data-driven world.
Tools:
Python
Tableau
This analysis of 120,000 Amazon clothing sales in India (2022) reveals top states (Maharashtra, Karnataka), dominant categories (Kurta, Set), and delivery challenges causing $8.93M in lost revenue. Insights focus on optimizing logistics, boosting top products, addressing sales volatility, and promoting underperforming categories to enhance profitability and efficiency.
Tools:
SQL
Python
Tableau
This project develops a credit scoring model using historical loan applicant data. It preprocesses features, trains several Machine Learning algorithms, evaluates them with metrics like AUC, and interprets results with SHAP. The outcome helps financial institutions identify high-risk applicants, optimize approval strategies, improve credit policy decisions, and risk management.
Tools:
Python
C++
An autonomous robot that integrates ROS2 frameworks, advanced GRASP capabilities, and SLAM technology to navigate dynamic environments, locate itself, and manipulate various objects. By fusing computer vision, sensor data, and precise control, ensuring reliable mapping, collision-free movement, and efficient object handling in collaborative settings, enabling complex tasks.