Harshrajsinh Solanki

I am an accomplished data scientist with a strong proficiency in Python, R, C, SQL, and web development. My expertise lies in leveraging big data technologies such as Hadoop and MongoDB to extract actionable insights. I excel in creating impactful Tableau dashboards and have hands-on experience in predictive modeling, mobile application security, and network analysis. My dedication to data science has led me to present research findings to esteemed organizations like ISRO and DRDO.

Throughout my academic journey, I have undertaken significant projects, including a Student Grade Analysis and Prediction model, where I conducted in-depth exploratory data analysis (EDA) to unveil insights and visualize relationships within datasets. I developed and trained machine learning models for grade prediction, showcasing my ability to handle complex data challenges. Additionally, I analyzed warranty claims data from Kaggle, implementing logistic regression and decision trees to predict claim authenticity.

Currently, I am working as a Network Security Analyst Intern, where I perform Vulnerability Assessment and Penetration Testing (VAPT) using various tools. I am passionate about developing predictive models using machine learning algorithms and continuously seek opportunities to grow and contribute to innovative projects in the data science field.