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Data Analyst with 1+ years in Data Visualization & Machine Learning
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Assessing your cultural and operational fit
Motivated and analytical Data Analyst fresher (B.E. CSE, CGPA 7.89/10) skilled in Excel, SQL, Python, and Power BI. Experienced in data collection, trend identification, dashboard creation, and accuracy-focused reporting. Excellent communication and presentation skills with a proven ability to translate complex datasets into actionable business insights and collaborate across teams.
Mangayarkarasi College of Engineering, Madurai
B.E. Computer Science and Engineering · Computer Science and Engineering
January 1, 2021 – January 1, 2025
Accident Prevention System
January 1, 2024 – January 1, 2025
Collected & validated real-time IoT sensor datasets; ensured data accuracy and integrity before processing. Applied analytical methods (DBSCAN, statistical analysis) to identify trends, anomalies, and patterns in complex datasets. Built Power BI dashboards to track KPIs and model performance (94%+ accuracy); compiled reports for stakeholders. Used strong communication and presentation skills to deliver data-driven findings and recommendations to the project team.
View ProjectSmart Parking System
January 1, 2023 – January 1, 2024
Cleaned & validated IoT sensor data ensuring 100% data accuracy; performed EDA to identify trends and growth opportunities. Created Excel dashboards and occupancy reports with KPIs; presented analytical insights supporting strategic business decisions. Collaborated cross-functionally to improve business performance; ensured data accuracy for reliable reporting.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a good alignment with the target role of Data Analyst, focusing on data collection, analysis, and visualization. The diversity in project topics (Accident Prevention, Smart Parking) shows adaptability. The listed skills (Excel, SQL, Python, Power BI, EDA, Data Visualization) are highly relevant. The candidate's stated strengths in analytical thinking, communication, and accuracy suggest a good fit for data-driven team environments. However, as a fresher, real-world team collaboration experience is limited to academic settings.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, presentation skills, and a commitment to accuracy and detail. Their project descriptions highlight collaboration and the ability to translate complex data into actionable business insights, which are crucial for operational fit in a data analyst role. The candidate is a fresher, so practical experience in a corporate setting is limited, but the academic projects show a proactive approach to applying learned skills.