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Junior Data Analyst with 1+ years in Deep Learning & ECG 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
Highly motivated and results-driven Junior Data Analyst with 1.6 years of hands-on experience in developing deep learning models, signal processing, and data analysis. Proven ability to improve cardiac rhythm analysis accuracy, deliver comprehensive training in machine learning, and implement robust data management systems. Adept at leveraging Python, TensorFlow, and various data science tools to extract actionable insights and deploy AI models for medical analytics and user behavior analysis.
Indian Academy Degree College
MSc Data Science · Data Science
November 1, 2022 – September 1, 2024
Sree Narayana College for Women
BSc Physics · Physics
June 1, 2018 – May 1, 2021
Micron Computers
Data Science Trainer
February 1, 2025 – Present
Varkala, Kerala, India
Wafer Chip Techno Solution
Junior Data Analyst
December 1, 2024 – Present
Kollam, Kerala, India
KELTRON Knowledge Centre
Technical Trainee
November 1, 2024 – January 1, 2025
Kollam, Kerala, India
Signpost Company
Data Analysis Intern
November 1, 2023 – December 1, 2023
Bengaluru, Karnataka, India
Sensitive Data Exposure Detection using Deep Learning
January 1, 2024 – December 1, 2024
Developed CNN model achieving 98% accuracy in detecting sensitive image data. Applied data augmentation techniques to improve model generalization. Converted trained model to TensorFlow.js for web deployment.
Facebook User Analysis using Big Data
September 1, 2023 – March 1, 2024
Analyzed user behavior and engagement patterns using Hadoop and Spark. Built predictive models to identify potential user churn. Implemented personalized recommendation strategies using data analytics.
Customer Churn Prediction
May 1, 2023 – August 1, 2023
Built predictive ML models using Logistic Regression and Decision Trees. Performed feature engineering and visualization using Pandas and NumPy.
Brain Tumor Detection using Deep Learning
November 1, 2022 – April 1, 2023
Developed CNN model for MRI tumor detection. Applied preprocessing techniques such as normalization and augmentation. Evaluated model performance using accuracy, precision and recall metrics.
MongoDB Tutorial
Great Learning Academy
June 1, 2026 – Present
Spark Basics
Great Learning Academy
June 1, 2026 – Present
MySQL Basics
Great Learning Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in data science and machine learning through diverse personal projects and relevant work experience. Their educational background in Data Science and Physics provides a solid analytical foundation. The blend of academic projects, internships, and full-time roles indicates adaptability and a continuous learning mindset, which are positive indicators for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate's experience as a Data Science Trainer suggests good communication and mentoring skills, which are valuable for team collaboration and knowledge sharing. Their project diversity indicates a proactive and problem-solving attitude. The current role as a Junior Data Analyst aligns well with the target role, showing direct operational fit.