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Data Science with less than a year in business statistics & data engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A precise and result-driven data professional with advanced expertise across business statistics, computer science, and data engineering frameworks. Adept at conceptualizing machine learning pipelines, converting chaotic raw datasets into structured strategic intelligence, and delivering executive-ready dashboards for key corporate stakeholders. Exceptional problem solver focused on driving systemic improvements, operational automation, and optimized analytical architectures.
Vellore Institute of Technology (VIT)
M.Sc. · Business Statistics
N/A – June 30, 2026
Dr. N.G.P. Arts and Science College
B.Sc. · Computer Science with Data Analytics
N/A – June 30, 2024
Wipro LTD
App Modernization Intern
June 1, 2025 – July 1, 2025
Coimbatore, Tamil Nadu, India
Python for Data Science, AI & Development
IBM on Coursera
June 1, 2026 – Present
Machine Learning Classifiers and Tools
International Conference on Computational Intelligence (ICT2024)
June 1, 2026 – Present
R: Exploring Vectors, Simple Descriptive Statistics
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background, certifications, and project work demonstrate a strong interest and foundational knowledge in data science and analytics, aligning well with a Data Science role. The internship at Wipro LTD suggests exposure to corporate environments and structured development processes. The diversity of projects (sentiment analysis, web scraping, real-time detection) indicates a proactive learning approach and a willingness to explore different facets of data science. However, the limited professional experience (one internship) means the depth of cultural integration and long-term team collaboration skills are yet to be fully proven.
Soft Skills & Operational Fit
The candidate's resume highlights 'Rigorous task prioritization, agile workflow alignment, deadline fidelity' and 'Active listening, technical-to-executive alignment, collaborative iterations' as execution and communication frameworks, respectively. These indicate a foundational understanding of operational best practices and team collaboration, which are positive for cultural and operational fit. However, without direct assessment data, the actual proficiency in these areas cannot be fully validated.