Ankur Arora
@ankurarora
Computer Science graduate skilled in data analysis and visualization.
What I'm looking for
I am a Computer Science graduate with a strong passion for data analysis and visualization. My academic journey has equipped me with a solid foundation in SQL, Python, and Power BI, allowing me to turn complex data into actionable insights. I thrive on solving real-world problems through data-driven decision-making.
Throughout my education, I have successfully engineered projects such as a comprehensive customer churn analysis system and an intent classification chatbot. These experiences have honed my skills in data cleaning, feature engineering, and machine learning, achieving impressive accuracy rates. I am eager to apply my knowledge and skills in a dynamic environment where I can contribute to impactful projects.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
VIT Projects
Aug 2023 - Aug 2023 (0 months)
Developed a customer churn prediction system using machine learning techniques, achieving 90% accuracy. Created an intent classification chatbot for a college website, enhancing user navigation with 93% accuracy. Built an interactive Power BI dashboard to analyze consumer spending patterns, visualizing trends effectively.
Content Team Member
Red Ribbons Club
Apr 2023 - May 2023 (1 month)
Collaborated with team members to design campaigns and educational materials for community outreach. Participated in organizing events to promote the club's mission, enhancing teamwork and communication skills.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Bachelor of Technology, Computer Science Engineering
2021 - 2025
Grade: 9.42
Activities and societies: Engaged in various projects including customer churn analysis, intent classification chatbot development, and consumer spending habits dashboard creation. Active member of the Red Ribbons Club, contributing to community engagement initiatives.
Pursuing a Bachelor of Technology in Computer Science Engineering with a strong focus on data analysis and visualization. Expected to graduate in August 2025 with a cumulative GPA of 9.42.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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