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Data Analyst with less than a year in Python, SQL, Power BI, and 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
Motivated graduate with a strong foundation in analyzing and problem-solving, along with basic knowledge of software development concepts. Experienced in working with tools like Excel, SQL, and Power BI to analyze data and create meaningful reports. Eager to learn and contribute in a dynamic work environment.
Ideal Institute of Technology, JNTUK
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Narayana Junior College
Intermediate (MPC)
June 1, 2019 – May 31, 2021
Netflix Movies Data Analysis
January 1, 2025 – June 1, 2026
Conducted EDA on 50,000+ movie records, uncovering genre trends, country-wise content distribution, and budget-revenue correlations to support content strategy planning. Created data visualisations using Matplotlib and Seaborn to present audience preference insights and marketing performance metrics in a business-ready format.
Retail Sales Data Analysis
January 1, 2025 – June 1, 2026
Queried 1.28M+ sales records across 10 states using SQL (joins, aggregations, subqueries) to identify top performing product categories and profit distribution, enabling focused business strategies. Built interactive Power BI dashboards to track KPIs—sales performance, regional trends, and MoM growth - contributing to 11.53% month-over-month growth and faster stakeholder decision-making. Used Excel Pivot Tables and VLOOKUP to cross-validate data across regions, ensuring reporting accuracy.
Customer Churn Analysis
January 1, 2025 – June 1, 2026
Analysed churn patterns across 700 customers, finding Basic plan subscribers had significantly higher inactivity than Premium users — directly informing targeted customer retention campaigns. Automated data preprocessing workflows using Alteryx, reducing manual effort by 40%; wrote advanced SQL queries to segment high-risk customer groups for targeted marketing outreach. Designed Power BI marketing reports covering churn rate, 49K revenue impact, and inactivity trends, delivering clear visual KPI summaries to guide management decisions.
SQL Skills Badge
HackerRank
June 1, 2026 – Present
Salesforce Administrator Virtual Internship
Trailhead
June 1, 2026 – Present
Oracle Cloud Infrastructure 2024 Generative AI
Professional
June 1, 2026 – Present
Python Skills Badge
HackerRank
June 1, 2026 – Present
AI-ML Virtual Internship
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across various domains (retail, customer behavior, entertainment). The pursuit of multiple virtual internships and certifications (Salesforce, Oracle AI, Google AI-ML) indicates a strong eagerness to learn and adapt to new technologies, which aligns well with a growth-oriented culture. The focus on problem-solving and contributing to business strategies in project descriptions suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, communication, team collaboration, and decision-making as soft skills. These are crucial for a Data Analyst role, suggesting a good operational fit. The project descriptions demonstrate an understanding of translating data insights into business strategies, which is a positive indicator for practical application.