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Data Analyst with less than a year in Python, SQL, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with strong expertise in Python, SQL, and data visualization, experienced in data cleaning, exploratory data analysis (EDA), and machine learning using Pandas, NumPy, and Scikit-learn. Skilled in building predictive models and developing interactive dashboards with Streamlit, Matplotlib, and Power BI to deliver actionable business insights.
Yenepoya Institute of Arts, Science, Commerce and Management
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2025
Luminar Technolab
Data Science Intern
October 1, 2025 – Present
Thrissur, Kerala, India
Credit Card Fraud Detection
June 24, 2026 – Present
Developed a machine learning model to detect fraudulent financial transactions. Performed preprocessing including cleaning, encoding, and scaling using Pandas and NumPy. Conducted analysis and applied algorithms with Scikit-learn for prediction and evaluation. Built a Streamlit application for real-time detection and visualization.
View ProjectHydration Level Prediction
June 24, 2026 – Present
Performed data preprocessing and exploratory data analysis using Pandas and NumPy. Developed a K-Nearest Neighbors (KNN) model to predict hydration levels from health-related features. Applied feature encoding and data scaling using StandardScaler to improve model performance. Handled class imbalance using SMOTE to enhance prediction accuracy.
View ProjectData Science Internship Program
Luminar Technolab
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong academic background and an ongoing internship in data science, aligning with a learning-oriented and technically focused culture. However, the diversity of projects is limited to academic examples, and there is no information on extracurricular activities or community involvement to fully assess broader cultural fit. The experience level is entry-level, which might require a supportive and mentorship-driven environment.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on technical skills and project execution. There is insufficient data to assess soft skills such as teamwork, leadership, or problem-solving under pressure. Operational fit cannot be fully determined without more information on work attitude and collaboration.