
Data with 1+ years in SQL, Python, and Power BI for business insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Data Analyst with 1.5 years of experience leveraging SQL and Python to analyze sales, inventory, and customer data, driving actionable business insights. Proficient in developing interactive dashboards using Power BI, automating reports, and applying machine learning techniques for predictive modeling. Adept at data cleaning, KPI tracking, and collaborating with stakeholders to implement data-driven recommendations that improve operational efficiency and campaign conversion rates.
Chandigarh University
B.E CSE Specialization · Big Data Analytics
August 1, 2021 – June 1, 2025
BPS Public School
Class 12th
June 1, 2020 – July 1, 2021
Fashion Alley Pvt. Ltd.
Data Analyst
January 1, 2025 – Present
India
Customer Segmentation & Behavior Analysis on Walmart Data
June 24, 2026 – Present
Performed customer segmentation on 25,000+ customer records using advanced SQL queries to identify high-value customer groups. Developed and optimized 20+ SQL queries using joins, aggregations, and subqueries to uncover customer behavior patterns and support targeted marketing campaigns. Identified 3 high-value customer segments, increasing campaign conversion rates by 15%.
View ProjectAmazon E-Commerce Sales Performance Dashboard
June 24, 2026 – Present
Built interactive Power BI dashboards tracking 10+ KPIs across 10,000+ records, enabling faster business reporting. Improved inventory planning and forecasting accuracy by 20% through actionable insights.
Hotel Booking Analysis
June 24, 2026 – Present
Analyzed 119,000+ hotel booking records to identify cancellation patterns, seasonality, and booking trends. Discovered that 60% of cancellations originated from non-refundable city hotel bookings, supporting pricing and policy decisions. Reduced cancellation rates by 18% through data-driven recommendations and KPI monitoring.
Google Data Analytics Certificate
June 1, 2026 – Present
Meta Data Analyst Certificate
Meta
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across different domains (hospitality, e-commerce, retail). The certifications from Google and Meta indicate a proactive approach to learning and professional development. The blend of academic specialization in Big Data Analytics and practical project experience aligns well with a data-driven culture. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight 'Insight-driven analysis', 'Data-Informed Decision-Making', and 'Collaborative Workflow Execution' as soft skills. The experience section mentions collaboration with stakeholders to deliver data-driven recommendations, suggesting a good fit for team-oriented data roles. The automation of reports and focus on data quality indicate an operational mindset.