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Data Analyst with less than a year in Python, SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical Data Analyst with strong academic and hands-on project experience in Python, SQL, Excel, Power BI, and Tableau. Proficient in data cleaning, preprocessing, exploratory data analysis (EDA), statistical analysis, and transforming raw data into high-quality datasets. Experienced in building interactive dashboards, defining KPIs, and delivering insights through structured data storytelling. Demonstrates strong problem-solving ability and the capacity to communicate technical findings effectively to technical and non-technical stakeholders.
Chinmaya Arts and Science College
Diploma in Data Analytics
August 1, 2025 – June 30, 2026
Chinmaya Arts and Science College
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2025
Patient Health & Eye Disease Analysis
January 1, 2026 – Present
Conducted exploratory data analysis on patient health datasets to analyze relationships between age, blood sugar, cholesterol, blood pressure, obesity, heart rate, and eye-related diseases. Applied statistical techniques to identify correlations between diabetic retinopathy and key metabolic indicators. Developed Python visualizations including scatter plots, box plots, and correlation heatmaps. Built an interactive Power BI dashboard with KPIs, slicers, and filters to support data-driven healthcare insights.
Wine Quality Analysis
January 1, 2025 – December 31, 2025
Analyzed 1500+ wine samples using Python to determine chemical factors influencing quality ratings. Performed correlation and comparative analysis identifying alcohol, sulphur dioxide, and citric acid as key drivers. Provided actionable insights and recommendations to improve wine quality from average to high ranges.
Attendance Management System
January 1, 2024 – December 31, 2024
Designed and implemented a digital attendance management system to automate tracking and reporting. Reduced manual errors and improved administrative efficiency through structured data storage.
Python with Data Analytics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in healthcare, consumer goods (wine), and administrative systems, indicating adaptability to different domains. The listed soft skills like 'Continuous Learning' and 'Adaptability' suggest a positive attitude towards growth and fitting into various team cultures. However, the lack of professional experience means there's no direct evidence of cultural fit within a corporate environment. The projects are all academic, which limits the insight into collaboration and professional conduct.
Soft Skills & Operational Fit
The candidate lists several relevant soft skills such as Analytical Thinking, Problem Solving, Communication, and Data Interpretation. These are crucial for a Data Analyst role. However, without practical work experience, the operational fit and application of these skills in a professional setting are unproven. The academic projects demonstrate some initiative and problem-solving, but the ability to handle real-world operational challenges and collaborate in a team environment is yet to be validated.