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Data Analyst with less than a year in SQL, Python, 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
Data Analyst with strong expertise in SQL, Python, and Power BI, experienced in analyzing large datasets to generate actionable business insights. Skilled in data cleaning, transformation, and building interactive dashboards to support decision-making. Hands-on experience in exploratory data analysis, statistical modeling, and developing data-driven solutions. Seeking to contribute analytical and problem-solving skills in a data-focused role.
Acharya Institute of Graduate Studies
BCA · Data Science
September 1, 2022 – June 1, 2025
St. Joseph's University
Pre-University · CEВА
February 1, 2020 – April 1, 2022
Edunet Foundation
Data Scientist
February 1, 2025 – April 1, 2025
Bengaluru, Karnataka, India
Waste Generation Analysis in Cities
June 23, 2026 – Present
Built an AI-powered web application for waste management using Gemini AI, Flask (backend/server), and SQLite (database), achieving 90%+ accuracy in waste identification and sorting. Designed an image-based classification system with predictive analytics to improve waste identification accuracy and overall system efficiency. Integrated task management, rewards, and leaderboard system, increasing user engagement by 30% through gamification.
House Price Prediction
June 23, 2026 – Present
Built regression models using Scikit-learn and Pandas to predict pricing trends based on historical data. Applied statistical modeling techniques to forecast outcomes and improve prediction accuracy.
Customer Behaviour Analysis
June 23, 2026 – Present
Performed end-to-end analysis on 500K+ customer records using SQL and Python to identify purchasing trends, customer retention patterns, and key revenue drivers. Built advanced SQL queries using JOINS, CTEs, window functions, and aggregations to extract business insights from large datasets. Developed interactive Power BI dashboards with 10+ KPIs, enabling stakeholders to monitor business performance and support data-driven decision making. Conducted EDA, data validation, and statistical analysis to identify opportunities for revenue optimization, customer growth, and operational improvement.
Email Fraud Detection
June 23, 2026 – Present
Implemented classification models with NLP techniques to detect fraudulent patterns.
RDBMS
IBMCE
June 1, 2026 – Present
Data visualization
IBMCE
June 1, 2026 – Present
Software foundation course with C programming
IBMCE
June 1, 2026 – Present
Advanced Python
Coursera
June 1, 2026 – Present
Accounting Data Analytics with Python
Coursera
June 1, 2026 – Present
Predictive Analysis using IBM SPSS Modeler
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive and self-driven approach to learning and applying data science concepts. The diversity of projects (waste management, fraud detection, house price prediction, customer behavior) indicates a broad interest and adaptability, which are positive indicators for cultural fit in a dynamic environment. The internship experience, though short, shows an ability to contribute to real-world problems. The target role of 'Data Analyst' aligns well with the skills and projects presented, particularly the 'Customer Behaviour Analysis' project which directly involves SQL, Python, and Power BI for business insights.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, integrate various technologies, and focus on actionable insights. The gamification aspect in one project suggests an understanding of user engagement, which can be valuable in operational contexts. However, without specific assessment data on soft skills, a definitive evaluation of operational fit beyond technical contributions is limited.