I am pursuing a B.Tech in Computer Science and Engineering at CMR University, focusing on advanced technologies.
CMR UniversityI completed my Pre-University education at Prerana PU College, where I studied Physics, Chemistry, Mathematics, and Computer Science (PCMC).
Prerana PU CollegeI completed my schooling at KLE MM School, where I developed a strong foundation in various subjects and participated in numerous extracurricular activities.
KLE MM SchoolUtilized Power BI to analyze intricate datasets at PwC. Prepared reports summarizing project progress and results for management review.
PWCAssisted in visualizing the dataset, training models and providing valuable insights using Python libraries.
YBI FoundationInterned at Microsoft, focusing on AI and Azure, gaining hands-on experience in cloud computing and machine learning.
MicrosoftDedicated student with strong skills in data analysis using Power BI, front-end development, and Python. I have demonstrated proven leadership and teamwork abilities through various projects, where I effectively collaborated with diverse teams. I am eager to leverage my technical expertise and collaborative skills to drive impactful results in both academic and professional settings. Passionate about continuous learning and innovation, I strive to stay updated with the latest industry trends and technologies to deliver high-quality work.
"I developed a front-end application using HTML, CSS, and JavaScript, emphasizing responsive design and user-friendly interfaces."
"Utilized Power BI to analyze intricate datasets at PwC. Prepared reports summarizing project progress and results for management review."
"I developed numerous Python projects, including data analysis, machine learning models, and automation scripts, showcasing problem-solving skills and technical expertise."
Developed a model using Naive Bayes to predict inflation rates, enhancing economic forecasting accuracy through data-driven insights and analysis.
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Conducted a customer call center data analysis project using Power BI, analyzing call patterns, customer satisfaction, and agent performance, resulting in actionable insights to improve overall customer service and operational efficiency.