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Data Science with 1+ years in machine learning, data analysis & full stack development.
A highly motivated MCA graduate with hands-on experience gained through a Data Science internship, with skills in Python, SQL, Pandas, NumPy, Scikit-learn, and Power BI. Experienced in data analysis, visualization, exploratory data analysis (EDA), and applying machine learning techniques on real-world datasets. Strong in analytical thinking and problem-solving, with a focus on extracting actionable insights and supporting data-driven decision-making. Particularly interested in leveraging data to drive strategic decisions and innovation across industries. Committed to continuous learning and professional growth, with the ability to apply technical and analytical skills to deliver impactful and efficient solutions in real-world scenarios.
AWH ENGINEERING COLLEGE, CALICUT
Master of Computer Application
August 1, 2023 – June 30, 2025
MES COLLEGE, PONNANI
BSC in Computer Science · Computer Science
August 1, 2020 – June 30, 2023
Luminar Technolab
Data Science Intern
June 1, 2025 – February 1, 2026
India
Bairuhatech
Intern-Full Stack Development
January 1, 2025 – May 1, 2025
India
Expense Tracker System
January 1, 2025 – June 1, 2026
Designed and developed a system to record, categorize, and analyze personal and business expenses, providing users with real-time financial insights. Implemented features to log expenses, set budgets, and track progress over time for improved financial management. Built the application using Django with a MySQL database for secure and efficient data handling. Developed the front-end with HTML, CSS, and JavaScript, ensuring an intuitive and responsive user interface.
DATA SCIENCE - PYTHON
LUMINAR TECHNOLAB
February 1, 2026 – Present
DATA SCIENCE WITH PYTHON
NACTET
December 1, 2025 – Present
GOOGLE ANALYTICS FOR BEGINNERS
Unknown
August 1, 2024 – Present
NPTEL: INTRODUCTION TO INTERNET OF THINGS
Unknown
January 1, 2024 – Present
WEBINAR ON MACHINE LEARNING & AI THE FUTURE
INDIAN CYBER SECURITY SOLUTIONS IN COLLABORATION WITH INFINITY LEARNING LAB
April 1, 2022 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in continuous learning and professional growth, evidenced by multiple certifications and a Master's degree in progress. The project diversity, including both a personal full-stack project and data science internships, suggests adaptability and a willingness to explore different technical areas. The target role of Data Science aligns well with the recent internship experience and certifications. The candidate's profile indicates a proactive and motivated individual, which generally contributes positively to cultural fit.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, time management, and communication as soft skills. The project descriptions and internship roles suggest an ability to work on structured tasks and contribute to development efforts. The full-stack internship indicates an ability to integrate different system components, which is valuable for operationalizing data science models. However, without specific examples or interview data, the depth of these soft skills and their operational fit cannot be fully assessed.