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
Data Analyst with hands-on experience in Python, SQL, Power BI, and Excel. Skilled in data cleaning, exploratory data analysis (EDA), and building interactive dashboards to generate actionable insights. Strong understanding of data visualization, statistical analysis, and query optimization. Completed projects in data analysis and machine learning, with a focus on improving efficiency and decision-making. Seeking an entry-level Data Analyst role to apply analytical skills in a real-world environment.
visvesvaraya technological university
Master of computer Application
March 1, 2022 – September 1, 2024
HLT software solutation
Data Analyst
November 1, 2025 – May 1, 2026
Tumkur, Karnataka, India
Online Book Store Data Analysis
August 1, 2024 – May 1, 2025
Analyzed bookstore sales and customer data to identify purchasing trends, top-selling categories, and business insights. Used SQL queries for data extraction, cleaning, and analysis, and created reports to support data-driven decision-making. Responsibilities / Key Highlights: • Analyzed 1000+ records of sales and customer data using SQL • Performed data cleaning, filtering, joins, aggregations, and trend analysis • Identified top-selling products and customer buying patterns • Optimized SQL queries to improve data retrieval performance by 30% • Created reports and dashboards for business insights • Generated actionable recommendations using data analysis techniques
Fake Logo Detection Using Machine Learning
March 1, 2023 – May 1, 2024
Developed a machine learning-based system to detect fake and genuine logos using image classification techniques. Collected and processed logo image datasets, performed image preprocessing, feature extraction, and trained the model for accurate prediction. Improved fraud detection by automating logo verification and reducing manual effort Responsibilities / Key Highlights: • Built logo authenticity detection model using Python and OpenCV • Performed data preprocessing, image cleaning and feature extraction • Trained and evaluated model with 85%+ accuracy • Worked on image classification and pattern recognition techniques • Reduced manual verification effort through automation • Analyzed 500+ logo samples for model training and testing
Computer Networks and Internet Protocol Certified
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity (data analysis, machine learning) indicate a willingness to learn and apply different analytical techniques. The listed interests (Programming, Cricket, Watching Movies, Kabbadi) suggest a balanced individual. The target role of Data Analyst aligns well with the candidate's stated skills and project experience. However, the limited professional experience (6 months) and the academic nature of most projects mean that the depth of cultural fit in a fast-paced, senior-level corporate environment is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (identifying trends, fraud detection) and a focus on improving efficiency through automation. The academic projects and the brief professional experience suggest an ability to work on defined tasks and contribute to data-driven decision-making. However, the short duration of professional experience and academic nature of projects limit the assessment of advanced operational fit or complex soft skills like leadership or stakeholder management.