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Data Analyst with 1+ years in SQL, Power BI, and ETL workflows
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 1+ year of experience in MIS reporting, SQL-based data analysis, and Power BI visualization. Skilled in data cleaning, transformation, and KPI tracking, with hands-on experience in ETL workflows using SQL and Excel. Adept at converting raw data into meaningful insights and building dashboards to support data-driven business decisions.
Madanapalle Institute of Technology and Science, Madanapalle
Master of Computer Applications (MCA)
N/A – June 30, 2022
Sri Venkateswara University, Tirupati
Bachelor of Computer Applications (BCA)
N/A – June 30, 2019
Echno Technologies Pvt Ltd
Data Analyst
September 1, 2024 – December 1, 2025
India
Uber Trip Analysis
November 1, 2025 – December 1, 2025
Analyzed ride booking data to identify peak demand periods and customer usage patterns. Found that 6 PM - 9 PM accounted for about 35% of daily bookings, indicating strong evening demand. Identified that premium vehicle categories generated higher average revenue per trip. Discovered weekend bookings increased by 20-25%, showing higher leisure travel demand.
Cultural Fit Analysis
The candidate's single professional experience and one personal project align well with a Data Analyst role, demonstrating a focused career path. The breadth of skills listed (SQL, Power BI, Excel, ETL, EDA, statistical techniques) indicates a versatile profile suitable for various data analysis tasks. The academic background in Computer Applications further supports a strong foundation for technical roles. However, the limited diversity in project types and company experience might suggest a need for broader exposure to different business domains.
Soft Skills & Operational Fit
The candidate's experience in processing and maintaining large datasets (10k-15k records monthly) indicates attention to detail and operational efficiency. The automation of reporting workflows suggests a proactive approach to improving processes. The project descriptions imply an ability to derive actionable insights from data, which is crucial for a Data Analyst role.