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Data Analyst with less than a year in Python, SQL, and Power BI for data visualization and insight a
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proficient in Data Visualization, Dashboarding, Insight analysis with Computer Science Engineering background with knowledge in PYTHON, SQL and Power BI. Honing strong analytical skills, decision-making, problem solving abilities with a learning mindset and proactive approach.
KSR College of Engineering
Bachelor of Engineering · Computer Science
August 1, 2021 – June 30, 2025
Advanced Object Counting System for Inventory Management using YOLOv7 and Lightweight Attentions Mechanisms.
June 24, 2026 – Present
Engineered an Al-based object counting system for real-time inventory monitoring using YOLOv7 architecture, reducing manual counting errors by 55%. Developed and integrated lightweight attention mechanisms, improving detection accuracy by 15% in cluttered scenes and reducing false positives by 10%. Spearheaded the integration of a real-time video stream, enabling live object detection and counting with 98% accuracy in cluttered environments.
Travel Planning App
June 24, 2026 – Present
Conceptualized and prototyped a budget-friendly trip planning tool in Figma, increasing user satisfaction scores by 25% within the first month of testing. Innovated a comprehensive trip planning interface in Figma, resulting in a 40% reduction in user search time and increasing user satisfaction scores by 25%.
View ProjectSales Data Analysis
June 24, 2026 – Present
Conducted comprehensive Sales data analysis using Python libraries --NumPy, Pandas, Matplotlib, and Seaborn- to extract trends and insights from historical financial data. Collected and processed sales data from Default DataSet. Performed Exploratory Data Analysis (EDA) to identify patterns in price movement, returns, and volatility.
Anime Insights Dashboard Using Power BI
June 24, 2026 – Present
Engineered an interactive Power BI dashboard analyzing 10,000+ anime entries, revealing key trends and rating correlations impacting content strategy. Performed robust data pipelines through precise cleaning and transformation of over 500,000 records using Power Query; ensured data integrity for critical reporting functions. Developed X comprehensive trend analyses across genres and ratings, directly contributing to the identification of the top X drivers of user engagement and content performance.
Cultural Fit Analysis
The candidate's academic projects show a diverse range of interests, from AI/computer vision to data analysis and UI/UX design. The focus on data analysis projects (Sales Data Analysis, Anime Insights Dashboard) directly aligns with the target role of Data Analyst. The LeetCode activity indicates a dedication to continuous learning and problem-solving, which is a positive cultural fit for a technical role. However, the lack of professional experience means cultural fit is primarily inferred from academic activities and project descriptions.
Soft Skills & Operational Fit
The candidate demonstrates a learning mindset and proactive approach, as well as strong analytical and problem-solving abilities. The project descriptions indicate an ability to work on diverse tasks, from AI-based systems to data analysis and UI/UX prototyping. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.