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Data Science with 1+ years in data analysis, visualization, and predictive modeling.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on experience in data analysis, visualization, and predictive modelling. Proficient in Python, SQL, Power BI, and machine learning fundamentals, with experience translating complex datasets into actionable business insights. Strong analytical skills combined with real-world project and internship exposure.
U.V Patel College Of Engineering
BTech · Computer Science(AI)
August 1, 2020 – June 30, 2024
iEnergizer
Junior Engineer - Technical Support
January 1, 2025 – July 1, 2025
India
Azilen Technologies
ASSOCIATE SOFTWARE ENGINEER
July 1, 2024 – August 1, 2024
India
Azilen Technologies
DATA ANALYST INTERN
January 1, 2024 – June 1, 2024
India
Customer Churn Analysis (College Project)
June 1, 2026 – Present
Pre-processed customer data and performed exploratory analysis to understand churn patterns and key influencing factors. Developed a Logistic Regression model to predict customer churn and evaluated performance using standard classification metrics.
Sales Data Analysis & Business Dashboard
June 1, 2026 – Present
Analyzed retail sales data using Python to clean, explore, and identify trends, top products, and regional performance. Built an interactive Power BI dashboard to visualize KPIs such as total sales, monthly growth, and profit margins.
Typing Certification
Unknown
June 1, 2026 – Present
Data Analyst Certification
Unknown
June 1, 2026 – Present
Introduction to Data Science with Kaggle
Kaggle
June 1, 2026 – Present
Python Workshop
Unknown
June 1, 2026 – Present
Advanced Diploma in Computer Applications (ADCA)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales data analysis to customer churn prediction, shows a broad interest in applying data science to different business problems. The academic background in Computer Science (AI) aligns well with a Data Science target role. The mix of internship, full-time (though short-term), and technical support roles, along with personal and academic projects, indicates a proactive and adaptable individual. However, the short duration of full-time roles might raise questions about long-term commitment or fit, which would need to be explored further.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as Analytical Thinking, Problem-Solving, Adaptability, Team Collaboration, and Effective Communication. These are crucial for a Data Science role, which often involves complex problem-solving and cross-functional collaboration. The project descriptions are clear, indicating good communication skills. The varied experience, including technical support, suggests an ability to handle operational issues and troubleshoot, which can be beneficial in data-related roles.