Help & Supportcareers@gravityer.com
Data with 3+ years in Python & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and highly motivated aspiring Data Analyst with a strong academic foundation in Data Science and Machine Learning from The American College. Skilled in Python, SQL, and Machine Learning, with hands-on experience in data analysis, recommendation systems, and predictive modeling. Passionate about transforming data into actionable insights through data preprocessing, visualization, and analytics. Eager to apply academic knowledge to create meaningful professional impact.
The American College
Bachelors of Science (B.SC) · Data Science
June 1, 2023 – May 1, 2026
Hubra Info
Intern
June 1, 2023 – Present
Madurai, Tamil Nadu, India
STUDENT PRODUCTIVITY CLASSIFIER AND RECOMMENDATION SYSTEM
January 1, 2026 – April 1, 2026
Increased prediction accuracy to 92% by developing the Student Productivity Classifier and Recommendation System using Random Forest and K-Means clustering to analyze student behavior patterns and productivity trends. Improved personalized study recommendations by 45% through clustering-based insights and automated classification, enabling students to identify and enhance effective study habits.
MOBILE RECOMMENDATION SYSTEM
August 1, 2025 – October 1, 2025
Improved product discovery efficiency by 35% by developing a Mobile Recommendation System using Python, Pandas, and Scikit-learn, leveraging content-based filtering and cosine similarity for personalized smartphone recommendations. Reduced recommendation processing time by 40% through optimized data preprocessing, feature selection, and similarity computation, enabling accurate and scalable smartphone suggestions based on user input.
Power BI
Unknown
January 1, 2026 – Present
Python
Unknown
January 1, 2026 – Present
MySQL
Unknown
January 1, 2025 – Present
Excel
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in organizing events like Data VAGENZA and Winter Hackathon, along with leading the Discipline Committee for the Data Brigade Association, demonstrates initiative, leadership, and a collaborative spirit. These activities suggest a proactive and engaged individual who can contribute positively to a team and organizational culture. The academic projects show a strong interest in applying data science to real-world problems, aligning with an innovative and results-oriented environment. The breadth of skills (Python, SQL, Power BI, Excel) and certifications indicate a willingness to learn and adapt, which is beneficial for cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights leadership and collaborative skills through organizing hackathons and leading committees. The projects demonstrate problem-solving and analytical thinking. However, the psychometric test score is 0, which indicates insufficient data to assess logical reasoning, work attitude, stress handling, and team collaboration effectively. The English test score of 36 suggests potential areas for improvement in professional communication clarity.