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Data Analyst with less than a year in Python, SQL & 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
Detail-oriented Entry-Level Data Analyst with hands-on experience in Data Cleaning, Data Visualization, Exploratory Data Analysis (EDA), ETL Processes, Dashboard Development, KPI Reporting, Statistical Analysis, Predictive Analytics, and Data Modeling using Python, SQL, Excel, and Power BI. Proficient in DAX, Business Intelligence Reporting, Regression Analysis, Trend Analysis, and data-driven decision support for business performance improvement.
Sri Siddhartha Institute of Technology, Tumakuru
BE · Electronics & Communication Engineering
August 1, 2021 – June 30, 2024
Government Polytechnic for Women, Bangalore
Diploma · Electronics & Communication Engineering
August 1, 2019 – June 30, 2021
Bank
Marketing Data Analysis Intern
November 1, 2025 – December 31, 2025
India
E-Commerce Sales Analysis
June 1, 2026 – Present
Analyzed 9,994+ transactions to identify revenue and profit trends. Built monthly growth metrics and performance dashboards. Supported forecasting through visual analytics.
HR Analytics Dashboard
June 1, 2026 – Present
Designed dashboard for salary trends and workforce insights. Created KPI measures using DAX for reporting. Automated HR performance tracking.
Sales Data Analysis
June 1, 2026 – Present
Merged six datasets (2014–2018) for analysis. Engineered profit margin and regional metrics. Identified top-performing products and regions.
Power BI Fundamentals
Simplilearn
January 1, 2025 – Present
Excel & SQL for Data Analysis
Great Learning
January 1, 2025 – Present
Python for Data Analytics
SkilloVilla
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data analysis skills. The diversity of projects (e-commerce, HR, sales) indicates adaptability and a broad interest in applying data analysis across different domains. The certifications further highlight a commitment to continuous learning. The internship experience, though short, shows an ability to work in a professional setting. However, the lack of team-based projects or collaborative experiences makes it difficult to fully assess cultural fit regarding teamwork and collaboration.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, attention to detail, and time management as soft skills. These are crucial for a Data Analyst role. The project descriptions indicate an ability to work with data independently and derive insights, which aligns with operational requirements. However, without specific examples or interview data, the depth of these soft skills cannot be fully assessed.