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Data Analyst with less than a year in Python, SQL, and Power BI for data insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in Python, SQL, and Power BI, specializing in data cleaning, exploratory data analysis (EDA), and data visualization. Skilled in transforming raw datasets into actionable insights through dashboard development and predictive analytics. Strong foundation in statistical analysis and machine learning, with a focus on solving real-world problems using data-driven approaches.
MES College Erumely, MG University
Bachelor of Computer Application (BCA) · Computer Application
August 1, 2022 – June 30, 2025
Smoking Health Risk Analysis Dashboard
June 24, 2026 – Present
Conducted data cleaning and transformation on health datasets to ensure accuracy and consistency. Performed EDA to identify correlations between smoking habits and health risks. Developed an interactive Power BI dashboard to visualize demographic and medical insights. Enabled data-driven decision-making through clear visual storytelling.
Car Service Prediction Model
June 24, 2026 – Present
Performed data cleaning and exploratory data analysis (EDA) on vehicle usage datasets to identify service patterns. Built a Naive Bayes classification model to predict car service requirements. Improved prediction efficiency by identifying key maintenance indicators. Utilized Python (Pandas, Scikit-learn) for preprocessing and model development.
Ulcer Health Risk Analysis Dashboard
June 24, 2026 – Present
Processed and analyzed patient datasets using data cleaning and EDA techniques. Identified key risk factors based on lifestyle and medical indicators. Built a dynamic dashboard to highlight trends and patterns in ulcer risk. Delivered insights to support health awareness and predictive analysis.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data analysis to real-world problems, particularly in health and automotive sectors. This indicates a problem-solving mindset and a willingness to learn and apply new technologies. The focus on data-driven decision-making aligns well with a data-centric organizational culture. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, teamwork, and time management as soft skills. These are crucial for a Data Analyst role, indicating a foundational understanding of professional requirements. However, without practical experience or specific examples, the depth of these skills cannot be fully assessed.