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Entry-level Data Analyst with Python and Data Analytics skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic MCA student with a strong foundation in Python and Data Analytics. Skilled in Pandas, NumPy, Matplotlib, Seaborn, Excel, and SQL. Seeking an entry-level Data Analyst role to analyze complex datasets, create insightful reports/dashboards, and identify market trends.
IGNTU RCM
Master of Computer Applications (MCA)
N/A – Present
Heart Disease Data Analysis
January 1, 2026 – Present
Collected dataset from Kaggle and performed data preprocessing. Cleaned dataset and handled missing values using Pandas. Performed exploratory data analysis (EDA) to identify patterns. Created visualizations (heatmap, histogram, bar charts) using Matplotlib & Seaborn. Analyzed relationships between features affecting heart disease. Derived insights to understand key health risk factors.
Car Data Analysis
January 1, 2026 – Present
Analyzed car dataset using Python (Pandas, NumPy). Performed data cleaning and preprocessing. Created visualizations to understand trends and patterns. Explored relationships between different features. Generated basic insights from dataset.
Data Analytics (Python, SQL)
Self Learning
June 1, 2026 – Present
SQL (MySQL)
Self Learning
June 1, 2026 – Present
Power BI
Self Learning
June 1, 2026 – Present
AI & ML Workshop
IIT Patna
June 1, 2026 – Present
STTP
IGNTU
June 1, 2026 – Present
CCNA
Self Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and self-learning certifications show initiative and a proactive approach to skill development, which aligns with a growth-oriented culture. The willingness to relocate and work flexible hours indicates a high degree of adaptability and commitment. However, the projects are academic and lack real-world business context, which might require additional mentorship for cultural integration into a professional data analysis team.
Soft Skills & Operational Fit
The candidate expresses strong willingness to relocate, work night shifts, and onsite, indicating flexibility and adaptability. The project descriptions suggest basic analytical thinking and problem-solving skills, but these are not explicitly evaluated through tests.