
Data Analyst with less than a year in SQL & Python
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst (B.Tech CSE, 2026) skilled in SQL, Python (pandas, seaborn, plotly), Power BI, and Tableau. Experienced in building dashboards, defining KPIs, and extracting actionable business insights from large datasets to support cross-functional decision-making.
Rajiv Gandhi Institute of Petroleum Technology
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Zenoti
Data Analyst Intern
January 1, 2026 – April 1, 2026
Mumbai, Maharashtra, India
NutriSales Insights Dashboard
January 1, 2026 – June 1, 2026
Analyzed an eCommerce sales dataset using Python (pandas, seaborn) to uncover revenue trends, top-performing categories, and customer purchase behaviour. Wrote SQL queries (window functions, CTEs) to calculate MoM revenue growth, average order value, and customer cohort retention rates. Built an interactive Power BI dashboard with KPI cards (Revenue, Orders, AOV, Retention), trend lines, and category breakdowns with dynamic slicers.
View ProjectBreathe ESG Compliance Analytics
January 1, 2026 – June 1, 2026
Designed ETL pipelines to process enterprise CSV datasets into a structured PostgreSQL schema, enabling accurate compliance KPI tracking for auditors. Authored SQL aggregation queries to report carbon emission metrics by tenant, time period, and activity – improving reporting accuracy with an append-only audit trail.
View ProjectSentinel Data Quality Engine
January 1, 2024 – December 31, 2024
Built an automated pipeline to ingest, validate, and sanitize raw datasets using Python and SQL, enforcing business data quality rules before downstream reporting. Designed test suites to detect anomalies early, reducing data integrity failures and improving the reliability of analytical reports.
Oracle Generative AI Professional
Oracle Cloud Infrastructure
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like ESG compliance, data quality, and e-commerce sales, indicating a broad interest in applying data analysis to different business contexts. The leadership role in a club suggests teamwork and initiative. The target role of Data Analyst aligns well with the demonstrated skills and project types. However, the candidate is still pursuing their bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to work with cross-functional teams and translate technical findings into business reports. The 'Achievements & Leadership' section indicates organizational skills and a proactive attitude, which are beneficial for operational fit. However, without direct assessment, these are inferred.