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Data Analyst with less than a year in SQL, Python, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in SQL, Python, and Power BI, driving measurable improvements in operational efficiency and customer experience. Delivered forecasting models (+18% accuracy), customer segmentation (+12% engagement), and anomaly detection systems reducing losses by 9%. Strong focus on translating data into actionable business insights.
RTMNU
B.Tech · Computer Technology
August 1, 2015 – June 30, 2020
Amazon
Customer Experience Analyst
July 1, 2025 – January 1, 2026
India
Unified Mentor
Data Analyst Intern
April 1, 2025 – June 1, 2025
India
Food Delivery Data Analysis
June 16, 2026 – Present
Engineered geospatial features to compute delivery distances and validate performance drivers using hypothesis testing. Built regression models (RMSE: 0.23) to predict delivery time and ratings, identifying distance and vehicle type as key factors. Optimized delivery routing strategy, reducing late deliveries by 18% and improving ratings by 0.4 points.
View ProjectBikeStore Analytics with SQL
June 16, 2026 – Present
Analyzed 10,000+ sales records to identify top 15% products contributing 60% of total revenue. Built 13 KPI dashboards (AOV, recency, product performance) to support pricing and inventory decisions.
View ProjectData Visualization Virtual Experience
PwC Switzerland
January 1, 2025 – Present
Google Analytics Certification (GA4)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including BikeStore Analytics and Food Delivery Data Analysis, shows a broad interest in applying data analysis across different domains. Their certifications in Google Analytics and Data Visualization, along with professional development in A/B Testing and SQL Optimization, indicate a proactive approach to learning and staying current with industry trends. The listed interests in AI/ML Ethics and Policy Visualization suggest a thoughtful and responsible approach to data, which aligns well with a data-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying recurring issues and optimizing workflows. Their experience as a Customer Experience Analyst suggests good communication and customer-centricity, which are valuable for understanding business needs in a data analyst role. The project descriptions indicate an ability to work independently and deliver measurable results.