I’m gaining valuable industry experience as an App Developer Intern at Devomech Solutions, where I’ve had the opportunity to work on exciting projects.

As a Data Analyst, I have gained valuable experience by working on a diverse range of projects that have honed my skills in data analysis, visualization, and machine learning. My recent work includes:1. Student Progress Analysis: I conducted a comprehensive analysis of student progress using a dataset of 2,392 students, examining factors such as extracurricular activities, parental support, gender, and ethnicity to understand their influence on academic performance and participation.2. Titanic Dataset Exploration: Utilizing the Titanic dataset from Kaggle, I explored and visualized various factors that influenced passenger survival rates during the tragic sinking of the Titanic, providing valuable insights into the data and its implications.3. Bank Marketing Prediction: I developed a predictive model using a Decision Tree Classifier on the "Bank Marketing" dataset from the UCI Machine Learning Repository. The model aims to predict client subscription to a term deposit based on various features, enhancing targeted marketing strategies.4. Sentiment Analysis Dashboard: I analyzed and visualized sentiment patterns in social media data, offering insights into public opinions and attitudes towards specific topics, brands, or entities. The interactive dashboard helps gauge overall sentiment and identify emerging trends.These projects have allowed me to leverage my analytical skills and drive meaningful insights from data. I am passionate about using data to solve complex problems and provide actionable recommendations.