Data Science with less than a year in Data Analytics & 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
Computer Science and Engineering graduate from VIT-AP with a CGPA of 8.55 and a strong foundation in Java, Python, SQL, Data Analytics, and Machine Learning. Experienced in developing data-driven solutions through ETL, customer segmentation, SQL analysis, and Power BI dashboards. Skilled in problem-solving, database management, and core computer science concepts, with an interest in software development and data analytics.
Vellore Institute of Technology, Andhra Pradesh
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Dayanand Science College, Latur
HSC
June 1, 2020 – May 31, 2022
Shri. Marwadi Rajasthan Vidyalaya, Latur
SSC
June 1, 2010 – May 31, 2020
Coffee Shop Sales Analysis
June 1, 2026 – Present
Analyzed multi-store sales data to identify revenue trends, peak business hours, and month-over-month growth patterns. Utilized SQL queries, aggregations, and KPI calculations to evaluate sales, orders, and product performance. Performed trend analysis to identify top-selling products and seasonal demand fluctuations. Built an interactive Power BI dashboard for store-wise performance tracking and business decision-making.
Netflix Content Analysis
June 1, 2026 – Present
Built a Python-MySQL ETL pipeline to clean, transform, and analyze 8,000+ Netflix records. Designed normalized relational database schemas by separating multi-valued attributes such as Director, Country, and Genre. Performed SQL-based analysis to uncover trends in content distribution, genre popularity, and regional growth. Developed an interactive Power BI dashboard to visualize KPIs and support data-driven insights.
Customer Segmentation in Online Retail
June 1, 2026 – Present
Applied RFM (Recency, Frequency, Monetary) analysis to evaluate customer purchasing behavior. Implemented K-Means clustering to segment customers into high-value, regular, and churn-risk groups. Optimized clustering performance using Silhouette Score evaluation and feature scaling techniques. Generated actionable business insights to support targeted marketing campaigns and customer retention strategies.
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Data Analysis with SQL
Boston Training Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science skills across different domains (retail, entertainment, sales). Their leadership role in a cultural association indicates an ability to work in teams and contribute to a broader community, suggesting a good cultural fit for collaborative environments. The breadth of skills listed (programming, core CS, databases, ML, soft skills) also points to adaptability.
Soft Skills & Operational Fit
The candidate demonstrates leadership and teamwork skills through their involvement in the Amhi Marathi Association, where they led creative initiatives and mentored a team. This suggests good communication and collaboration abilities, which are important for operational fit in a data science team.