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Data Analyst with 1+ years in Data Analysis & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst fresher with internship experience in data analysis, data cleaning, and reporting. Proficient in Excel, SQL, Python, and Power BI for exploratory data analysis, visualization, and dashboard creation. Experienced in identifying trends, validating data accuracy, and translating complex datasets into actionable insights.Seeking an entry-level Data Analyst role to support data-driven decision-making and business performance.
PA College of Engineering, VTU
Bachelor of Engineering (Honours) · Computer Science
August 1, 2021 – June 30, 2025
Camerin - Indian Institute of Upskill
Data Analyst Intern
July 1, 2025 – December 1, 2025
India
NASSCOM IT-ITES SSC
AI-DevOps Engineer Intern
September 1, 2024 – February 1, 2025
India
Bone Fracture Detector Using Deep Learning
June 1, 2026 – Present
Implemented a ResNet50-based deep learning solution to classify X-ray images for multiple fracture types. Improved model performance through data preprocessing, training, and evaluation. Built an end-to-end prediction workflow with a simple GUI to demonstrate real-world usability.
Fraud Detection Analysis
June 1, 2026 – Present
Conducted exploratory data analysis and feature engineering on imbalanced credit card transaction data using Python. Trained a fraud detection model using XGBoost, improving identification of high-risk transactions. Created an interactive Power BI dashboard displaying fraud trends, risk levels, and regional insights. Extracted actionable fraud patterns to support data-driven prevention strategies.
Data Science Tools
Infosys Springboard
June 1, 2026 – Present
Python Django
Infosys Springboard
June 1, 2026 – Present
Big Data 101
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects (Fraud Detection, Bone Fracture Detector) show initiative and a diverse interest in applying data analysis and machine learning to real-world problems. The internships, though short, indicate a willingness to gain practical experience. The certifications in Python Django, Data Science Tools, and Big Data 101 further demonstrate a proactive approach to learning and skill development, aligning with a culture of continuous improvement. The blend of data analysis and AI/DevOps exposure suggests a versatile individual.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail, adaptability, team collaboration, time management, and analytical thinking, which are crucial for a Data Analyst role. The project descriptions are clear and highlight problem-solving abilities. The AI-DevOps internship suggests an understanding of operational aspects of model deployment, which could be beneficial for MLOps integration in a data team.