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Data with less than a year in Python & Data Visualization
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Assessing your cultural and operational fit
Passionate Data Analyst with practical experience in Python and data visualization. Experienced in analyzing complex datasets, building predictive models, and creating interactive dashboards to support data-driven decisions. Known for strong problem-solving skills and the ability to deliver actionable insights that improve business efficiency and performance.
Sri Manakula Vinayagar Engineering College
Bachelor of Computer and Communication Engineering · Computer and Communication Engineering
August 1, 2022 – June 30, 2026
Zidio Development
Data Science & Analytics Intern
June 1, 2026 – June 1, 2026
India
Online Retail Sales Analysis
June 1, 2026 – June 1, 2026
Analyzed over 540,000+ online retail transactions using advanced SQL queries to isolate high-value customer purchasing patterns and top-performing product segments. Developed a centralized database schema in MySQL, optimizing data retrieval speeds by [15%] through efficient indexing and structured joins. Constructed an interactive retail sales dashboard in Power BI, mapping key metrics like Revenue Growth, Average Order Value (AOV), and inventory turnover rates. Translated complex transaction patterns into business insights, providing data-driven recommendations for sales optimization and stock replenishment strategies.
Workforce Analytics Dashboard
June 1, 2026 – June 1, 2026
Designed and deployed an interactive Power BI dashboard tracking workforce metrics across departments, improving leadership's visibility into attrition trends. Engineered [15+] custom DAX measures and KPI indicators to calculate dynamic attrition rates, average salary bands, and employee distributions. Utilized Power Query to clean, transform, and model messy HR data, reducing report rendering latency by [20%] and ensuring 100% data integrity. Delivered actionable workforce management insights that enabled HR teams to identify high-risk churn factors and proactively design retention strategies.
Employee Churn Prediction
June 1, 2026 – June 1, 2026
Built and trained a predictive machine learning pipeline using Python and Scikit-learn, achieving an accuracy score of 87% in identifying high-risk employee attrition. Executed end-to-end data preprocessing, missing value imputation, and feature engineering on workforce datasets using Pandas and NumPy. Evaluated and compared multiple classification algorithms (such as Logistic Regression, Random Forests) to optimize model precision and recall metrics. Extracted feature importance rankings to pinpoint the primary drivers of employee turnover, offering HR stakeholders a data-driven framework for risk mitigation.
Career Essentials in Data Analysis
LinkedIn by Microsoft
June 1, 2026 – Present
Java Full Stack Development
Wipro
June 1, 2026 – Present
Data analytics
Accenture (Forage)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis techniques across different domains (retail sales, HR analytics). The inclusion of personal projects and certifications indicates self-motivation and a desire for continuous learning. The 'Java Full Stack Development' certification, while not directly aligned with the 'Data' target role, shows a breadth of interest and willingness to explore different technical areas. The candidate's profile suggests a good fit for a team that values initiative and practical application of skills.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills and the ability to deliver actionable insights, which are crucial for operational fit in a data-driven role. The focus on improving efficiency and providing data-driven recommendations suggests a results-oriented approach. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.