Data Analyst with less than a year in SQL, Python, and Power BI
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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.