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Data Analyst with less than a year in Data Analysis & Machine Learning
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Detail-oriented and analytical MCA graduate specialized in Big Data Analytics with strong knowledge of Python, SQL, data visualization, and data analysis techniques. Skilled in data cleaning, exploratory data analysis, dashboard creation, and deriving actionable insights using tools like Tableau, Power BI, Pandas, and Excel. Completed academic and internship projects involving structured datasets and reporting. Seeking an entry-level Data Analyst role to apply analytical and problem-solving skills in data-driven decision-making.
Marian College Autonomous Kuttikkanam
Master Of Computer Applications · Big Data Analytics
September 1, 2021 – October 1, 2023
Assumption Autonomous College
Bachelor Of Computer Applications · Computer Applications
June 1, 2018 – April 1, 2021
ICT Academy
Data Science Intern
March 1, 2026 – April 1, 2026
Thiruvananthapuram, Kerala, India
School Management System
July 1, 2025 – September 1, 2025
• Project was developed using Python Django and MySql Database as the Backend • Project developed to manage the school activities. • Admin can add teachers and students. Teachers can mark attendance, give notes to students • Students can pay their fees and also view the notes.
Book Recommendation System
February 1, 2025 – June 1, 2025
• This is a machine learning project which is developed using Python Flask, numpy, Jupyter and Collaborative filtering algorithms. • The system recommends books based on the user's search.
Delivery Time Prediction System
September 1, 2024 – January 1, 2025
• Built a machine learning model to predict delivery time using features such as distance, time of day, traffic, and weather conditions • Performed data preprocessing, feature engineering, and outlier handling to improve model performance • Trained and evaluated models including Random Forest and XGBoost
Car Price Prediction Web Application
April 1, 2024 – August 1, 2024
• Developed a Flask-based ML web app to predict used car prices using key features like fuel type, transmission, and kilometers driven. • Performed data preprocessing including IQR-based outlier removal, One-Hot Encoding, and MinMax Scaling to prepare the dataset for model training.
Employee Attrition Early Warning & Retention Optimization System
November 1, 2023 – March 1, 2024
• Developed a machine learning model to predict employee attrition using HR data such as salary, tenure, job role, and performance. • Performed data preprocessing and feature analysis to identify key factors influencing employee turnover. • Built and evaluated the prediction model using XGBoost. • Deployed the model as a Streamlit web application for HR attrition risk prediction.
Complete Guide to Apache Kafka for Beginners
Unknown
June 1, 2026 – Present
Tableau 2024.1: Essential Training
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover a diverse range of applications, from recommendation systems to attrition prediction and delivery time forecasting, indicating a broad interest in applying data analysis to different domains. The experience with both Flask and Django for web applications shows versatility. The certifications in Kafka and Tableau suggest a proactive approach to learning new technologies. The focus on academic projects and a single internship, however, limits the insight into their adaptability to diverse corporate cultures or experience in navigating complex organizational dynamics. The profile aligns well with a data-driven culture, but more information on collaborative work and initiative in non-academic settings would strengthen this assessment.
Soft Skills & Operational Fit
The candidate's profile highlights a detail-oriented and analytical approach, which is crucial for a Data Analyst role. The academic projects demonstrate problem-solving skills and the ability to apply technical knowledge to real-world scenarios. The internship experience suggests an ability to work on government projects, indicating a degree of professionalism and adherence to structured processes. However, the resume does not provide explicit details on collaboration, communication within a team, or handling ambiguous requirements, which are important for operational fit in a senior role.