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Data Analyst with less than a year in data analysis & machine learning.
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 a strong academic record (CGPA: 8.92) and a foundation in SQL, Excel, Data Visualization, and Google Data Analytics concepts. Skilled in data cleaning, analysis, reporting, and deriving actionable insights from datasets.
Moodlakatte Institute of Technology
Bachelor of Engineering · Computer Science & Engineering
November 1, 2022 – May 1, 2026
Vrishanksoft OPC Pvt. Ltd.
Full Stack Web Development Intern
February 1, 2026 – May 1, 2026
India
Edunet Foundation (IBM)
AIML Internship
June 1, 2025 – July 1, 2025
India
Travel Budget Planner and Expense Visualizer
March 1, 2026 – May 1, 2026
Developed a user-focused application that enables users to plan trips, manage expenses, analyze spending patterns, and visualize budgets. Emphasized clean and maintainable design while improving usability and supporting efficient financial decision-making.
Predictive System for Soil Analysis and Crop Recommendation
February 1, 2025 – December 1, 2025
Developed a machine learning-based system that analyzes user-uploaded soil images and predicts suitable crops using soil properties such as color, texture, and moisture. Implemented the K-Nearest Neighbors (KNN) algorithm to compare soil characteristics with a dataset and generate accurate crop recommendations to support data-driven agricultural decisions.
Microsoft Excel Certificate
Microsoft
June 1, 2026 – Present
Tata data visualization certificate
Tata
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a proactive approach to skill development through multiple certifications and personal projects, indicating a strong drive for learning and self-improvement. The diversity of projects (financial planning, agricultural prediction) and internships (web development, AI/ML) suggests adaptability and a broad interest in applying technical skills across different domains. This aligns well with a culture that values continuous learning and versatile problem-solving. The target role of Data Analyst is well-supported by the candidate's chosen certifications and project focus.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an emphasis on user-focused design, usability, and efficient decision-making, suggesting an operational fit for roles requiring practical application of data insights. Collaboration on data handling and problem-solving during internships indicates a team-oriented approach. However, without specific psychometric test results, a deeper assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.