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Data Science with less than a year in Python, SQL, and 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)
N/A – Present
Mobile Sales Data Analysis Dashboard Using Power BI
January 1, 2026 – Present
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, 2026 – Present
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
Internet of Things
NPTEL
June 1, 2026 – Present
AWS re/Start Program
AWS
June 1, 2026 – Present
Introduction to Machine Learning
DataFlair
June 1, 2026 – Present
Data Analytics
Udemy
June 1, 2026 – Present
Power BI Skill Course
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are academic, focusing on data analysis and machine learning. The certifications indicate a broad interest in emerging technologies (AIML, IoT, AWS) and data analytics. This aligns with a learning-oriented culture. However, the lack of professional experience or diverse project types makes it difficult to fully assess cultural fit beyond a foundational interest in the target role.
Soft Skills & Operational Fit
The candidate lists problem-solving, quick learning, team collaboration, and communication skills as strengths. While these are valuable, there is no assessment data or professional experience to validate these claims in an operational context. The academic projects suggest an ability to work independently on defined tasks.