Data Analyst with less than a year in Data Analytics & Machine Learning
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Entry-level Data Analyst with a B.Tech in Computer Science and hands-on experience through a structured data analytics training program. Skilled in Python, SQL, Power BI, and Machine Learning, with practical experience in EDA, KPI dashboards, and NLP-based classification models. Delivered data-driven solutions including an ML ticket priority system with 80% classification accuracy and an interactive road accident analysis dashboard. Seeking a Data Analyst role in Kerala, India to apply strong analytical and problem-solving skills in a data-driven team.
Sree Narayana Mangalam Institute of Management and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
ZOOPLE TECHNOLOGIES
Data Analyst Trainee
August 1, 2025 – January 1, 2026
Cochin, Kerala, India
Smart IT Support Ticket Priority System
June 1, 2026 – Present
Developed an NLP-driven classification system to automatically categorize support tickets into Low, Medium, and High priority levels. Implemented a Random Forest classifier, achieving 80% classification accuracy with TF-IDF vectorization and confusion matrix evaluation. Deployed the application as an interactive web app using Streamlit for real-time ticket classification.
Road Accident Analysis Dashboard
June 1, 2026 – Present
Designed an interactive Power BI dashboard to analyze accident trends, fatalities, and contributing factors. Enabled stakeholders to identify high-risk patterns and support data-driven road safety decisions.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analytics skills to solve real-world problems (e.g., IT support ticket prioritization, road accident analysis). The internship experience at ZOOPLE TECHNOLOGIES further indicates an ability to work in a structured environment. The diversity of projects and stated soft skills suggest a good potential for cultural fit within a collaborative and problem-solving oriented team.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Analytical Thinking, Problem Solving, Communication Skills, Time Management, and Adaptability, which are crucial for operational fit in a data-driven team. The project descriptions indicate an ability to translate technical work into business insights, suggesting a good operational fit.