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Data Analyst with less than a year in market data collection and Power BI dashboard development.
Results-driven Data Analyst with an MSc in Computer Science (Data Science) and hands-on internship experience in market data collection, Excel-based analysis, and Power BI dashboard development. Skilled at translating raw data into clear business insights for retail and distribution functions. Proficient in Python, SQL, and MS Excel, with strong visualization capabilities in Power BI. Passionate about driving data-informed decisions in dynamic business environments.
Rajiv Gandhi National Institute of Youth Development
MSc Computer Science (Data Science) · Computer Science (Data Science)
August 1, 2024 – June 30, 2026
Safi Institute of Advanced Study (Autonomous), University of Calicut
Bachelor of Computer Applications
August 1, 2021 – June 30, 2024
AZCCO Global Ventures Pvt. Ltd. (Craze Biscuits)
Data Analyst Intern
January 1, 2026 – April 1, 2026
Kozhikode, Kerala, India
SmartPlan - AI-Based Plant Identification & Water Requirement Estimation
January 1, 2025 – June 1, 2026
Developed a deep learning model and backend system for plant identification and watering recommendation. The project uses a Convolutional Neural Network (CNN) to identify plant species from images and integrates external APIs such as Plant.id, OpenWeather, and Geolocation to determine precise water requirements based on plant type, weather, and location. The frontend is built using React Native, while the backend and data storage are managed using Firebase.
Crop Recommendation System
January 1, 2024 – January 1, 2025
Built a Flask-based web application that recommends the most suitable crop based on soil nutrients (N, P, K), temperature, humidity, pH, and rainfall. Utilized machine learning models trained with scikit-learn and data preprocessing using NumPy and pandas. Implemented model integration with Flask for real-time user input and prediction, enhancing agricultural decision-making.
Online Restaurant Management System
January 1, 2021 – January 1, 2024
Developed a web-based application featuring two modules: Admin and Customer. Built the frontend using HTML, CSS, and Bootstrap, and implemented the backend with Django and SQLite. The system supports product management, customer tracking, order processing, and user profile customization for an efficient restaurant management experience.
Learning Analytics Tools
NPTEL / IIT Bombay
June 1, 2026 – Present
Large Language Models
NPTEL / IIT Madras
June 1, 2026 – Present
Data Analytics and Visualization Job Simulation
Forage
June 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in data science applications, from restaurant management to AI-based plant identification and crop recommendation. This breadth of interest, combined with an internship in market research for a consumer goods company, suggests adaptability and a willingness to apply data analysis skills across different domains. The pursuit of a Master's degree in Data Science aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's experience in collaborating with the Marketing Department and presenting findings suggests good teamwork and communication skills. The academic projects involving web application development and API integration indicate problem-solving abilities and a structured approach to project execution. Participation in sports achievements also hints at discipline and teamwork.