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Data Science with less than a year in data analysis and visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented DBDA graduate with a strong foundation in data analysis and visualization. Seeking an entry-level role to apply analytical and problem-solving skills to derive actionable insights and support data-driven decision-making.
CDAC, Noida
Post Graduate Diploma · Big Data and Data Analytics
N/A – Present
Gyan Ganga College of Technology, Jabalpur
B.Tech · Computer Science
N/A – Present
Energy-Efficient Customer Segmentation
June 23, 2026 – Present
Worked on end-to-end analytics solutions including data preprocessing, machine learning (K-Means, DBSCAN), visualization, and business interpretation. Segmented 10,000+ e-commerce transactions to identify customer behavior patterns. Improved demand forecasting and designed cost-efficient data storage strategies.Enhanced processing efficiency and insight generation through data-driven approaches. Cleaned and validated datasets to ensure accuracy and consistency. Documented findings in a structured format and translated business problems into actionable insights.
Certification in Big Data and Data Analytics
Unknown
June 1, 2026 – Present
Certification in Python and SQL
Unknown
June 1, 2026 – Present
Certification in AWS Certified Solutions Architect
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications align well with an entry-level Data Science role, demonstrating a clear interest and foundational knowledge in the field. The 'Energy-Efficient Customer Segmentation' project shows initiative in applying data science techniques to real-world scenarios. The breadth of certifications (Big Data, Python/SQL, AWS) suggests a proactive approach to learning and skill development, which is positive for cultural fit in a dynamic technical environment. However, the lack of diverse project types or team-based experience makes it difficult to fully assess collaboration and adaptability in a professional team setting.
Soft Skills & Operational Fit
The candidate highlights 'Strategic Mindset', 'Quick Learner', and 'Adaptable to Situations' as strengths. The project description indicates an ability to translate business problems into actionable insights and work on end-to-end solutions, suggesting good problem-solving and operational fit for data-driven roles. However, without specific work experience, the practical application of these soft skills in a professional setting is unproven.