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Data Science with less than a year in ML & data analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring DataScientist with strong foundations in statistics, machine learning, and data analysis. Proficient in Python, SQL,Pandas, NumPy, and data visualization. Experienced in building end-to-end ML solutions through academic andpersonal projects. Seeking an entry-level role to apply data-driven insights to real-world problems.
UNIVERSITYOF KERALA
Bachelor of Science · Computer Science
September 1, 2022 – May 1, 2025
INSURANCE COST PREDICTION
April 20, 2026 – May 4, 2026
Built and compared multiple regression algorithms including Linear Regression, Random Forest, Gradient Boosting, and XGBoost to identify key factors affecting insurance charge such as smoking status, BMI, and age. Created and deployed an interactive Streamlit web application for real-time insurance cost prediction with live user input handling and public deployment on Streamlit Cloud.
MY SKIN BUDDY (Android App)
December 10, 2024 – March 17, 2025
A dermatological disease analysis system on Android is a mobile application designed to users detect and analyse skin conditions using their smartphone. This typically involves capturing images of skin lesions or affected areas and using machine learning or image processing algorithms to identify possible dermatological diseases. Designed and implemented core application components for a dermatological analysis app. Developed and maintained the system using Python (Flask), JavaScript, MySQL, and HTML/CSS learning or image processing algorithms to identify possible dermatological diseases
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data science to real-world problems (dermatological analysis, insurance cost prediction). The use of diverse technologies and methodologies suggests adaptability and a willingness to explore different solutions. The focus on end-to-end project development, including deployment, indicates a results-oriented mindset. The academic nature of all projects means cultural fit in a professional setting is yet to be fully assessed.
Soft Skills & Operational Fit
The candidate highlights critical thinking, problem-solving, communication, data storytelling, collaboration, teamwork, and research skills. These are foundational for a data science role, indicating a potential for good operational fit within a team-oriented, analytical environment. However, without direct work experience, the practical application of these skills remains to be validated.