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Enthusiastic and detail-oriented professional with a strong foundation in statistics and data interpretation, complemented by proficiency in Python, SQL, Power BI, and Excel. Eager to leverage my expertise in data cleaning, ad-hoc analysis, and visualization to drive actionable business insights in a dynamic, data-driven environment.
PBR Visvodaya Institute of Technology and Science, Kavali
Bachelor's Degree · Mechanical Engineering
August 1, 2019 – June 30, 2022
HR Analytics Dashboard
August 1, 2022 – June 1, 2026
Developed an interactive HR Analytics Dashboard in Power BI analyzing workforce data of 1,470 employees, identifying a 16.12% attrition rate and key retention risk factors across departments and demographics. Conducted attrition and workforce analysis across 3 departments, 9 job roles, and 6 education fields, revealing that 65.37% of employee turnover originated from the R&D department. Designed KPI-driven visualizations for employee demographics, job satisfaction, overtime, promotion risk, and training impact, enabling data-driven HR decision-making and workforce planning. Generated actionable business insights by analyzing employee age groups, travel frequency, overtime trends, and promotion delays, helping identify high-risk employee segments and potential burnout indicators.
View ProjectBanking Customer Churn Analysis
August 1, 2022 – June 1, 2026
Analyzed 10K+ customer records using Pandas to identify churn patterns, discovering that 20% of the customer base was at high risk of attrition. Identified key performance indicators and data insights, determining an overall churn rate of 40%. Performed exploratory data analysis (EDA) and identified three high-value personas responsible for 60% of total revenue loss. Visualized churn trends via 10+ interactive charts using Matplotlib & Seaborn to deliver strategies for a projected 15% churn reduction.
View ProjectE-Commerce Sales Analysis
August 1, 2022 – June 1, 2026
Cleaned and validated sales data within Excel to ensure data integrity for analysis. Developed an interactive dashboard using various charts, filters, and slicers to visualize performance effectively. Created pivot tables and summarized complex datasets using XLOOKUP, VLOOKUP, and other advanced Excel functions. Reduced manual and repetitive workflows by implementing and automating tasks with macros.
View ProjectCertification course on Data Analysis Power BI and SQL
FLM
June 1, 2026 – Present
Data Analysis using Python
NxtWave
June 1, 2026 – Present
Microsoft Excel
Udemy
June 1, 2026 – Present
SQL for Data Science
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (HR, Banking, E-commerce) and the breadth of tools used (Power BI, Python, SQL, Excel) suggest adaptability and a willingness to learn across different domains, which is positive for cultural fit. The target role of 'Data Analyst' aligns well with the candidate's demonstrated skills and project experience. The candidate appears to be self-driven, as evidenced by multiple personal projects and certifications, indicating a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem-solving', 'Attention to detail', 'Good communication', and 'Presentation' as technical skills, suggesting an awareness of these soft skills. The project descriptions indicate an ability to translate data into actionable insights, which is crucial for operational fit in a data-driven environment. However, without direct work experience or interview data, the actual proficiency in these areas cannot be fully assessed.