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Data Analysts (Intern) 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
Results-driven Data Analyst with hands-on experience in Python, SQL, Power BI, and machine learning. Skilled in computer vision, real-time object tracking, ETL pipelines, and predictive analytics. Proven ability to design interactive dashboards, automate data workflows, and deliver actionable business insights. Seeking a full-time Data Analyst role to apply analytical and visualization skills in a data-driven environment.
Annamalai University
B.Tech · Information Technology
August 1, 2023 – June 30, 2026
Zan Compute
Data Analyst Intern
December 1, 2025 – Present
Coimbatore, Tamil Nadu, India
Smart Hybrid Fault Node Detection in Wireless Sensor Networks
June 18, 2026 – Present
• Developed a fault node detection system for Wireless Sensor Networks (WSN) to identify anomalous and malfunctioning sensor nodes in environmental monitoring applications. • Built predictive machine learning models for anomaly detection and fault classification, achieving improved accuracy over baseline approaches through a hybrid detection framework. • Designed a hybrid detection framework that reduced false-positive alerts by combining multiple detection strategies in distributed sensor networks. • Performed full data pipeline work including data cleaning, feature engineering, exploratory data analysis (EDA), and model evaluation on real-world sensor datasets. • Improved network reliability by enabling early fault identification, reducing erroneous data transmission and supporting continuous environmental monitoring.
Human Activity Recognition Using Pose Estimation
June 18, 2026 – Present
• Developed a real-time human activity recognition system to classify actions – walking, sitting, standing, and hand-raising – from live video input using pose estimation. • Extracted and engineered pose-based features from video data using MediaPipe, enabling robust activity classification through statistical and spatial feature analysis. • Trained and evaluated multiple machine learning models using Scikit-learn, applying hyperparameter tuning to optimize classification accuracy across activity classes. • Implemented real-time prediction and visualization pipeline using OpenCV, enabling live monitoring and instant activity feedback from video streams.
Cultural Fit Analysis
The candidate's projects and internship show a strong inclination towards data analysis, machine learning, and real-time systems, aligning well with a data-driven culture. The diversity of projects (WSN fault detection, human activity recognition, traffic monitoring) indicates adaptability and a willingness to explore different problem domains. However, the limited professional experience (internship only) and academic focus might require additional mentorship for full integration into a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work, particularly in designing hybrid detection frameworks and real-time activity recognition systems. Their experience in automating reporting and data processing suggests an operational mindset focused on efficiency. The internship at Zan Compute indicates an ability to work in a professional setting and contribute to business insights.