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Data Analyst with less than a year in SQL, Python, and Power BI, focusing on actionable insights and
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with a strong foundation in SQL, Python, and data analytics, with hands-on experience in analyzing data and generating actionable insights. Skilled in transforming raw data into meaningful business insights using Excel and Power BI. Strong analytical mindset with the ability to support business performance improvement and data-driven decision-making.
Saveetha School of Engineering
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Sri Chaitanya IIT Academy
Class XII · Board of Intermediate Education, TS
June 1, 2022 – May 31, 2022
Sri Chaitanya Techno School
Class X · Board of Secondary Andhra Pradesh
June 1, 2019 – May 31, 2019
Deloitte Australia
Data Analytics
June 1, 2025 – Present
India
E-Commerce Customer Behavior Analysis
June 1, 2025 – Present
Analyzed 12,000+ transaction records to identify customer purchasing patterns and high-value segments. Built an interactive Power BI dashboard to track KPIs such as customer retention and revenue trends. Performed data cleaning and transformation using SQL and Python, improving data consistency and reliability. Identified key trends and customer segments to generate actionable insights for business performance improvement.
Netflix data analysis & Visualization
June 1, 2025 – Present
Performed exploratory data analysis on 7,000+ records to identify trends in genres and content distribution. Cleaned and transformed raw data using Python, handling missing values and improving data quality. Developed visualizations to highlight content trends and audience preferences for data-driven insights.
Retail Sales Forecasting Analysis
June 1, 2025 – Present
Analyzed historical sales data to identify seasonal trends and performance patterns across time periods Used SQL and Excel to aggregate data and track KPIs such as monthly sales and growth rates. Identified sales trends and generated actionable insights to support business performance improvement and decision-making.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of application in data analysis across different domains (e-commerce, retail, media), indicating adaptability and a willingness to explore diverse datasets. The virtual internship with Deloitte Australia suggests an interest in professional environments. However, without more extensive professional experience or team-based project details, a deep assessment of cultural fit, especially regarding collaboration and navigating complex organizational structures, is limited.
Soft Skills & Operational Fit
The candidate lists 'Leadership', 'Time Management', 'Adaptability', and 'Focused Listening' as strengths. While these are valuable soft skills, there is no direct evidence or context from the provided data (projects, experience, tests) to validate their application in a professional setting. The academic nature of projects and limited professional experience (virtual internship) means operational fit is largely theoretical at this stage.