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Data Science with less than a year in Data Science & Machine Learning
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 passionate and detail-oriented Data Science enthusiast with hands-on experience in Exploratory Data Analyst(EDA), Machine Learning model development, and Python programming. Skilled in using Pandas, Scikit-learn, and TensorFlow for building efficient solutions. Completed Data Science with AI certification and looking for opportunities to apply analytical skills, problem-solving, and technical expertise to real-world business challenges.
SRI VENKATESHWARA UNIVERSITY
B.Sc · MSCS
N/A – June 30, 2024
Codveda Technologies
Data Analyst Intern
March 1, 2025 – August 1, 2025
India
Exploratory Data Analysis (EDA) on Sales Dataset
June 24, 2026 – Present
Conducted in-depth EDA using Python (Pandas, NumPy, Matplotlib, Seaborn) to uncover patterns, trends, and anomalies in sales data. Generated actionable insights for business decision-making and optimized reporting processes.
Customer Behavior Analysis using Machine Learning
June 24, 2026 – Present
Analyzed customer datasets and applied LLM-powered tools/NLP techniques to extract insights from unstructured feedback. Used clustering and sentiment analysis to segment customers and provide targeted recommendations.
Financial Data Dashboard & Predictive Insights
June 24, 2026 – Present
Built interactive dashboards in Power BI / Tableau for real-time financial reporting. Leveraged EDA and predictive analysis to highlight key metrics, trends, and future projections.
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interest in data science applications, from sales analysis to customer behavior and financial reporting. This diversity suggests adaptability and a willingness to explore different problem domains. The listed soft skills align with collaborative work environments. However, the experience level is entry-level (internship), which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate lists teamwork, time management, leadership, effective communication, critical thinking, and problem-solving as soft skills. These are generally positive for operational fit, but without specific examples or assessment data, their practical application cannot be fully evaluated.