Focus : Machine Learning, Data Analysis
Specifications : Data Science, Mathematics
Reading, writing
I am Ardra K S, currently pursuing a master's degree in Data Science. My passion lies in exploring the transformative power of data across various aspects of our world. In this dynamic field, where numerous brilliant minds continuously work and innovate, I am dedicated to learning from the existing knowledge, staying updated with emerging trends, and making my own meaningful contributions.
Worked as an intern in Bajaj Allianz General Insurance company in Pune. During this period I analyzed HR data and implemented automation techniques to streamline data preparation and analysis, making processes faster and more efficient. I made use of Power Query and Visual Basics for Applications in Excel to complete my projects in MS Excel.
I have learned various regression techniques and their implementation in R programming. Additionally, I have covered the basics of neural networks and the underlying mathematics.
Statistical Analysis of COVID Data in Kerala involved performing Exploratory Data Analysis (EDA) using MS Excel to understand data distribution. For district-wise analysis, K-Means clustering and hierarchical clustering were applied using R programming.
Farm Kit is a web application designed to assist farmers in selecting the optimal crops based on their soil type and current weather conditions. The platform features a user-friendly interface that offers news, updates, and expert farming advice. By utilizing the Random Forest machine learning classification algorithm, Farm Kit predicts the best crops to plant, ensuring informed decisions for better yields.
The Hospital Management App is a web application designed for different user groups, including doctors, patients, and pharmacists. In the Pharmacy module, pharmacists can log in to their dedicated portal using unique credentials. Through the portal, they can add new medicines to the catalog, update existing entries, and view patient requests to better understand the demand for medications.