Data Analyst
Passionate and dedicated Master of Data Science student at CHRIST (Deemed to be University) with a keen interest in Machine Learning and Data Analytics. I am driven by the potential of leveraging data to extract valuable insights and make informed decisions. Throughout my academic journey, I have gained a solid foundation in statistics and programming languages such as Python, HTML, and CSS. I have also completed projects focused on predictive modeling, web development using Django, and statistical analysis.
I am open to internship opportunities, research collaborations, and industry networking. Feel free to reach out to discuss how we can work together to leverage data for meaningful insights and positive outcomes. Let's connect and explore the exciting possibilities at the intersection of Statistics, Machine Learning, and Data Analytics!
Skills
Experience
Education
Expertise in Python programming for data analysis, machine learning, and web development. Skilled in using libraries such as Pandas, NumPy, and Scikit-learn to develop efficient and scalable solutions.
Learn moreProficient in applying machine learning techniques, including Support Vector Machines (SVM) and Decision Trees, for predictive modeling and data-driven insights. Experienced in data preprocessing, model development, and evaluation.
Learn moreExperienced in developing dynamic and interactive web applications using Django framework. Skilled in implementing user authentication, CRUD operations, and ensuring seamless user interaction.
Learn moreKnowledgeable in leveraging cloud computing services, specifically Azure, for deploying, managing, and scaling applications. Capable of integrating cloud solutions to enhance performance and reliability.
Learn moreThank you