An undergraduate student at Lovely Professional University, currently pursuing a B.Tech in Computer Science and Engineering with a specialization in Machine Learning and Artificial Intelligence. Passionate about technology and committed to continuous learning and growth in the field. Experience includes hands-on roles as a Data Science Intern at Next24Technology and Services and a Data Analytics Intern at YBI Foundation, developing strong skills in Python, Java, MySQL, Power BI, Tableau, and Exploratory Data Analysis (EDA). Actively engaged in projects that involve applying problem-solving abilities and collaborating with teams to achieve impactful results. Always eager to take on new challenges and contribute positively to the tech industry, with a focus on making significant contributions through internships, volunteer work, and academic projects. Open to connecting with like-minded professionals and opportunities in the field of data science and analytics.
0 + Projects completed
Mainflow Services is a specialized education and career transformation company focused on data science and technology.
Next24tech is a technology service provider focused on innovative solutions in data science and AI.
YBI Foundation is a non-profit organization dedicated to empowering youth through data-driven initiatives.
I am dedicated to exploring new technologies and tackling complex real-world problems. My current focus is on mastering advanced data science techniques and large-scale data-driven solutions. I am also actively enhancing my knowledge in machine learning, statistical analysis, data visualization, and SQL.
CGPA: 8.63
Percentage: 97.7%
Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.
Analyzed pizza sales data using advanced SQL queries to uncover trends and optimize business performance.
Performed exploratory data analysis on Black Friday sales data using Python to gain insights into consumer behavior and enhance marketing strategies.
Designed a Power BI dashboard for a telecom company to track and analyze customer churn, providing insights to improve retention strategies and reduce customer turnover.
Implemented various machine learning models to detect hallucinations in contextual data and conducted in-depth analysis to enhance data accuracy.
Developed a machine learning model to analyze social media sentiment, providing insights into public opinions and trends across various platforms.
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