
data analyst, python ,SQL,power BI
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As a dedicated and ambitious fourth-year Computer Science Engineering student, I am passionate about using technology to solve real-world problems through Data Analytics and Data Science. I have developed strong skills in Python programming, data visualization, and analytical thinking, which help me transform raw data into meaningful insights. My academic background has provided me with a solid foundation in programming, databases, algorithms, and problem-solving techniques, while my continuous learning mindset motivates me to explore modern tools and technologies.
I have completed specialized training in analytics and visualization, allowing me to work on dashboards, reports, and practical projects that improve decision-making and business understanding. My interest in data-driven technologies encourages me to build innovative solutions and apply theoretical knowledge in real-world situations. Along with technical skills, I focus on improving communication, teamwork, and professional development to become industry-ready.
I am eager to collaborate on innovative projects, internships, and research opportunities that help me gain practical exposure and expand my expertise. With determination, discipline, and a proactive approach, I continuously strive for excellence and career growth in the fields of analytics, programming, and emerging technologies while contributing effectively to impactful solutions and organizational success.
Hands-on experience in Data Analytics and Data Science through academic projects, training programs, and self-learning initiatives. Skilled in using Python, SQL, Excel, and Power BI for data analysis, visualization, and dashboard development. Worked on projects involving data collection, cleaning, reporting, and trend analysis to generate meaningful business insights.
Familiar with database management, problem-solving techniques, and creating interactive dashboards for decision-making support. Strong ability to learn new technologies quickly, collaborate in team environments, and apply analytical thinking to real-world challenges.
Bachelor of Technology (B.Tech) in Computer Science Engineering with a strong academic foundation in programming, data structures, algorithms, database management systems, software engineering, computer networks, operating systems, and emerging technologies. Developed technical and analytical skills through practical labs, academic projects, and continuous learning in the fields of Data Analytics, Data Science, and software development.