
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
Aspiring Data Analyst with strong knowledge of Python, SQL, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, and data visualization. Experienced in academic projects involving machine learning and business insights generation. Passionate about solving business problems using data-driven solutions.
JSPM University
Bachelor of Computer Applications (BCA)
January 1, 2022 – December 31, 2025
Mobile Sales Data Analysis Dashboard Using Power BI
January 1, 2025 – December 31, 2025
Developed an interactive Power BI dashboard by importing, transforming, and analyzing mobile sales datasets. Created visual reports to analyze sales performance, revenue trends, customer purchasing behavior, and top-performing mobile brands. Improved business understanding through KPI tracking and data visualization.
Student Performance Prediction System
January 1, 2025 – December 31, 2025
Built a Machine Learning project to predict student academic performance using attendance, study hours, and previous marks. Performed data preprocessing, exploratory data analysis (EDA), and model evaluation. Generated insights and dashboards using Power BI for performance tracking and analysis. Helped identify weak-performing students for early intervention and academic improvement.
AICTE Eduskills – AIML Virtual Internship
AICTE Eduskills
June 1, 2026 – Present
NPTEL - Internet of Things
NPTEL
June 1, 2026 – Present
AWS re/Start Program
AWS
June 1, 2026 – Present
DataFlair - Introduction to Machine Learning
DataFlair
June 1, 2026 – Present
Udemy - Data Analytics
Udemy
June 1, 2026 – Present
Power BI Skill Course
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in applying data analysis to practical problems (sales, student performance). The certifications indicate a proactive approach to learning and skill development across various domains (IoT, AWS, ML, Data Analytics), suggesting adaptability and a growth mindset. However, the lack of professional experience means cultural fit in a corporate environment is largely unproven.
Soft Skills & Operational Fit
The candidate lists problem-solving, quick learning, team collaboration, and communication skills as strengths. These are valuable for operational fit, but without specific examples or behavioral assessment, their practical application and depth cannot be fully evaluated. The academic projects demonstrate an ability to work through defined problems.