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Data Analyst with less than a year in Python, SQL, Power BI, and Excel for data-driven 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
Data Analyst enthusiast worked in Python, SQL, Excel, and Power BI through real-world projects. Performed data cleaning, EDA, and dashboard creation to identify trends and business patterns. Built analytical reports on banking and ride-sharing datasets to answer practical business questions. Looking to apply strong fundamentals and problem-solving skills in a real production data environment.
Anurag University
B.Tech · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Uber Trip Analysis
June 21, 2026 – Present
Developed 3 interactive Power BI dashboards (Overview, Time Analysis, Detailed View) analyzing 103,728 Uber trips to track bookings, revenue ($1.6M), trip distance, and ride duration. Created dynamic KPIs and advanced DAX measures for total bookings, average fare ($15), total trip distance (349K miles), and time-based performance metrics. Built interactive slicers and drill-through reports enabling detailed analysis by date, city, vehicle type, payment method, and pickup location. Performed vehicle, payment, and location analysis to identify customer preferences, high-demand zones, and longest trip routes (up to 144 miles).
Banking Operations & Customer Analytics Dashboard
June 21, 2026 – Present
Analyzed 12,000+ banking transaction records to monitor account activity, transaction volumes, and customer behavior across branches. Built structured Excel reports using XLOOKUP, SUMIFS, and COUNTIFS, improving data accuracy and reducing manual reconciliation efforts by 35%. Used Pivot Tables with date grouping and filters to identify monthly transaction trends by account type, branch, and transaction category. Designed a management dashboard with charts and conditional formatting to highlight high-value customers, inactive accounts, and unusual transaction patterns.
Data Analytics
Medha edu tech
June 1, 2026 – Present
Basics of python
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a proactive approach to learning and applying data analysis skills. The diversity of projects (Uber trip analysis, banking operations) indicates an interest in different domains, which could contribute positively to team dynamics and adaptability. The stated goal of applying strong fundamentals in a production environment aligns with a growth mindset. However, without information on collaborative projects or work experience, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable insights and present them clearly through dashboards. The focus on problem-solving and identifying business patterns suggests a results-oriented approach. However, without direct assessment data, specific soft skills like teamwork, stress handling, or communication clarity in a professional setting cannot be fully evaluated.