Data Analyst with less than a year in SQL, Python & Power BI.
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Results-driven Data Analyst with hands-on experience in data extraction, transformation, and visualization using SQL, Python, Advanced Excel, and Power BI. Completed a 6-month internship at Vanillakart handling real-world data pipelines and dashboards. Strong foundation in statistical analysis and machine learning, with two end-to-end AI/ML projects deployed on Flask. Adept at turning raw data into actionable business insights. Actively seeking a full-time Data Analyst role to drive data-informed decisions.
Fr. Conceicao Rodrigues Institute of Technology, Mumbai University
B.E. · Computer Engineering
N/A – June 30, 2025
Vanillakart
Data Analyst Intern
May 1, 2024 – October 1, 2024
Mumbai, Maharashtra, India
Smart AI Policing System
June 19, 2026 – Present
Developed a facial recognition system using the DeepFace library and TensorFlow to match suspects against a criminal database with high precision. Designed and managed a MongoDB database to store facial embeddings and criminal records for fast lookup and retrieval. Built a Flask web interface for law enforcement personnel to upload images, perform identity matching, and log activity records. Implemented data pipeline for batch processing of surveillance footage frames, optimising inference speed using OpenCV.
Plant Disease Detection System
June 19, 2026 – Present
Built an image classification model using Convolutional Neural Networks (CNN) to identify 15+ plant diseases from leaf images with ~92% validation accuracy. Applied OpenCV for image preprocessing (resizing, normalization, augmentation) to improve model robustness on diverse input data. Deployed the model as a real-time web application using Flask, enabling farmers to upload images and receive instant disease diagnoses. Analysed model performance metrics (precision, recall, F1-score, confusion matrix) to iteratively improve classification accuracy.
Advanced SQL for Data Analysis
Unknown
June 1, 2026 – Present
Machine Learning A-Z - Udemy
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse application of data analysis and machine learning skills, from agricultural solutions to law enforcement, indicating adaptability and a broad interest in problem-solving. The internship at Vanillakart shows practical application in a business context. The combination of technical depth and practical application suggests a good cultural fit for a role that values both innovation and business impact. However, the experience level is limited to an internship and academic projects, which might require more mentorship in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, attention to detail, and team collaboration skills through project descriptions and internship experience. Their ability to present findings to non-technical stakeholders indicates good communication for operational fit. The academic projects show initiative and a proactive approach to learning and applying advanced concepts.