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Data Analyst with less than a year in Python, SQL & Excel for Automation and Reporting
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science fresher (Final Year) with hands-on experience in data validation, report generation, and automation using Python, SQL, and Advanced Excel on datasets of 100,000+ records. Experienced in building ETL pipelines, automating manual reporting workflows, and delivering clear, accurate data outputs for business stakeholders. Quick learner with strong analytical thinking, ownership mindset, and willingness to handle end-to-end tasks — from manual report generation to full pipeline automation.
Parul University
B.Tech · Computer Science Engineering
November 1, 2022 – May 1, 2026
Consumer Revenue & Regional Segmentation Analytics
June 1, 2026 – Present
Collected, cleaned, and validated 100K+ retail records using Python ETL pipelines; resolved 18% data inconsistencies — directly replicable as a report validation and automation workflow. Generated 10+ Power BI and Excel dashboards with DAX-driven KPIs; produced SOP-documented stakeholder reports translating data findings into clear, business-ready outputs. Automated recurring data reporting pipeline, reducing manual effort and ensuring consistent, accurate data outputs for downstream analysis.
Consumer Demand & Delivery Delay Analytics
June 1, 2026 – Present
Applied statistical trend decomposition to detect 25% seasonal demand surge and classify 11% anomalous data patterns — supporting accurate, validated automated report outputs. Isolated 2 root-cause bottlenecks driving 40% of operational failures; automated manual reporting pipeline delivering 15% measurable KPI improvement.
Academic Performance Analytics Pipeline
June 1, 2026 – Present
Built modular Python pipeline reducing data preprocessing time ~30% through automation; conducted EDA and cohort analysis uncovering 20% performance gap across segments.
Certified Data Analyst Foundations
Udemy
June 1, 2026 – Present
SQL (Basic)
HackerRank
June 1, 2026 – Present
Advanced Excel, VBA & Macros Automation
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a practical application of data analysis skills across different scenarios (consumer revenue, demand, academic performance). The inclusion of industry simulations (Deloitte, Tata) shows initiative and an interest in applying skills in a professional context, which aligns with a proactive learning culture. The breadth of tools (Python, SQL, Excel, Power BI, Tableau) indicates adaptability. As a fresher, the focus on academic projects is expected and shows a foundational alignment with a data-driven role.
Soft Skills & Operational Fit
The candidate's professional summary highlights an 'ownership mindset' and 'willingness to handle end-to-end tasks,' which suggests a proactive approach. The project descriptions indicate an ability to translate data findings into business-ready outputs and document SOPs, pointing to good operational fit and attention to detail. However, without direct interview data, these are inferred from self-reported project outcomes.