Prithikasree
Data scientist/ analyst
$50,000/month
About me
A driven and detail-oriented aspiring data analyst with hands-on experience in data exploration, cleaning, and visualization. Recently completed a data analyst internship and successfully led projects involving vacation rental analysis and applied design thinking. Passionate about turning raw data into meaningful insights that drive smart decisions. Known for a strong analytical mindset, creative problem-solving skills, and a growing command of tools like Python, SQL, and Excel. Eager to contribute to innovative, high-impact projects and continuously grow in the field of data science.
Work Experience
Data analyst intern
InnoByte services
December 1, 2024
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December 31, 2024
Successfully completed a hands-on internship focused on data analysis and visualization. Worked with real-world datasets, performing tasks such as data cleaning, exploration, and insights generation. Applied tools like Python, Excel, and data visualization libraries to uncover patterns and support decision-making. Collaborated in a project that analyzed vacation rental listings and reviews, gaining practical experience in data storytelling and reporting.
Education
B.Tech Artificial Intelligence And Data Science
Undergraduate
November 25, 2021
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Present
I am currently pursuing an undergraduate degree in Artificial Intelligence and Data Science, where I am developing strong expertise in machine learning, data analysis, and AI technologies. Through my coursework, I am gaining practical experience in statistical modeling, data mining, and building intelligent systems. I am passionate about applying analytical techniques to solve complex problems, with a focus on ethical AI implementation. I am eager to contribute my skills in data-driven decision-making and machine learning to impactful projects in the tech industry.
Honors & awards
Innovate 2k23
September 20, 2023
Designed and developed a system to detect fake fingerprints using image processing and machine learning techniques. The project aimed to enhance biometric security by identifying spoofed fingerprints through pattern analysis and texture recognition. The system achieved high accuracy in distinguishing between real and fake inputs. Earned 3rd prize in a competitive project showcase, recognizing innovation, technical depth, and impact in the field of cybersecurity.