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Data Science with 1+ years in data analysis, machine learning, and AI-integrated workflows.
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Detail-oriented Data Analyst with hands-on experience in data collection, cleaning, exploratory data analysis (EDA), statistical modelling, and data visualisation. Proficient in Python, SQL, and Power BI - skilled at transforming raw, complex datasets into clear, actionable insights that drive business decisions. Experienced in building predictive models, designing dashboards, and communicating findings to both technical and non-technical stakeholders. Strong analytical thinking with a background in machine learning and AI-integrated data workflows.
SCMS School of Engineering and Technology
B.Tech · Computer Science (Data Science Specialization)
N/A – June 30, 2025
TechMaghi
Data Analyst Intern (AI Integrated)
September 1, 2025 – February 1, 2026
India
Atmios Technologies, Kochi
Python & Data Intern
January 1, 2023 – June 1, 2023
Cochin, Kerala, India
Predictive Classification - Handwriting Recognition
June 23, 2026 – Present
Built a classification model achieving ~90% accuracy conducted full data pipeline: preprocessing, feature extraction, model training, evaluation (accuracy, loss curves, confusion matrix), and performance reporting. Applied data augmentation techniques to handle class imbalance and improve model generalisation - directly translatable to real-world imbalanced business datasets.
Pattern Recognition System - Gesture Control
June 23, 2026 – Present
Analysed sequential gesture data to detect patterns and map them to actionable outputs - applied time-series style data reasoning and anomaly detection logic for reliable real-time performance.
Real-Time Data Pipeline - Facial Expression Recognition
June 23, 2026 – Present
Designed and implemented a real-time data ingestion and inference pipeline using OpenCV - processed live video frame data, applied classification model, and reported results with consistent accuracy metrics.
NQT
TCS ION
June 1, 2026 – Present
24-Hour Hackathon
Techkriti'22
June 1, 2026 – Present
Introduction to Machine Learning
Infosys Springboard
June 1, 2026 – Present
Python Fundamentals
Infosys Springboard
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to applying theoretical knowledge. Participation in a hackathon and various certifications indicate a commitment to continuous learning and engagement with the tech community. The diversity of projects (handwriting, facial expression, gesture recognition) shows adaptability and a broad interest within data science, aligning well with a dynamic, innovation-focused culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (e.g., handling class imbalance, real-time processing) and an ability to translate technical findings into actionable insights. The internship roles suggest experience in collaborative environments and delivering reports to stakeholders, indicating good operational fit for data-driven teams.