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Associate Data Analyst with less than a year in SQL, Power BI, Python & Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science Engineering graduate with knowledge of SQL, Excel, Power BI, Python, and data visualization. Passionate about analyzing data, creating dashboards, and generating actionable insights. Seeking an opportunity as a Data Analyst to apply analytical and problem-solving skills while contributing to business growth.
ATME COLLEGE OF ENGINEERING
BE · Computer Science and Engineering
August 1, 2022 – June 30, 2026
MMK AND SDM GIRLS PU COLLEGE
PUC
June 1, 2020 – May 31, 2022
Kitturu Rani Chennamma Residential school
SSLC
June 1, 2019 – May 31, 2020
EV Market Analysis Dashboard (Power BI)
January 1, 2026 – June 1, 2026
Developed an interactive Power BI dashboard to analyze Electric Vehicle (EV) market trends and performance using real-world EV registration data. The project involved data cleaning, transformation, and visualization to identify growth patterns, vehicle category distribution, and regional adoption trends. Created KPI cards, bar charts, line charts, and maps to provide meaningful insights into EV market expansion and consumer preferences. This project enhanced my skills in Power BI, data analysis, data visualization, and business intelligence reporting, enabling data-driven decision-making through interactive dashboards.
Sales Performance Analysis Dashboard
January 1, 2026 – June 1, 2026
Developed an interactive Sales Performance Dashboard using Power BI to analyze sales trends, revenue growth, customer behavior, and product performance. Collected and cleaned sales data using Excel and Power BI Query Editor, then created visualizations such as KPI cards, bar charts, line charts, and region-wise sales reports. The dashboard helped identify top-performing products, high-revenue regions, and monthly sales trends, enabling data-driven business decisions
Text detection in Images and Videos using k-Means and Range filter
January 1, 2026 – June 1, 2026
The project aims to detect and extract text regions from images and video frames using image processing techniques. K-Means clustering is used for image segmentation, while a range filter enhances contrast and separates text areas from the background. This method helps in preprocessing data for OCR (Optical Character Recognition) systems.
Android App Development Internship Certificate
Unknown
June 1, 2026 – Present
Generative AI Fundamentals
Unknown
June 1, 2026 – Present
Power BI Basics
Unknown
June 1, 2026 – Present
Python Programming Basics
Unknown
June 1, 2026 – Present
Introduction to Cyber security
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in data analysis and visualization, which aligns well with a data-driven culture. The diversity of projects, including image processing, shows a breadth of technical curiosity. However, the lack of professional experience or team-based project descriptions makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, teamwork, and time management as soft skills. While these are crucial for an Associate Data Analyst role, there is no evidence from completed tests or work experience to validate these claims. The project descriptions are clear and concise, indicating good written communication.