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Data Analyst with less than a year in data analysis & 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
Aspiring Data Analyst with knowledge of Python, SQL, Power BI, and Excel. Worked on projects involving data cleaning, data analysis, dashboard creation, and data visualization. Comfortable using Pandas, NumPy, Matplotlib, and Seaborn to work with datasets and identify trends. Interested in using data to solve business problems and support decision-making.
Sri Krishna Chaitanya Degree college
Bachelor's Degree
August 1, 2023 – June 30, 2023
Sri Krishna Chaitanya Jr college
Class 12th
June 1, 2020 – May 31, 2020
Geethanjali
Class 10th
June 1, 2018 – May 31, 2018
Sales performance and Business Insights dashboard using Power BI
January 1, 2026 – June 1, 2026
Created a Power BI dashboard using sales data to track sales, profit, and product performance. Cleaned and prepared data using Power Query before building reports. Used KPI cards, charts, and filters to make the dashboard easy to understand. Compared sales performance across different regions and products. Analyzed return rates and sales trends to understand business performance.
Netflix Dataset Analysis
January 1, 2026 – June 1, 2026
Analyzed Netflix dataset using Python libraries such as Pandas, Matplotlib, and Seaborn. Removed missing values and duplicate records to improve data quality. Explored content distribution based on genre, rating, release year, and country. Created charts and graphs to understand patterns in Netflix content. Summarized findings from the dataset and presented them using visualizations.
Restaurant Review Sentiment Analysis
January 1, 2026 – June 1, 2026
Built a machine learning model to classify restaurant reviews as positive or negative. Cleaned review text and converted it into numerical features using Bag of Words. Trained and tested a Naive Bayes model for sentiment prediction. Achieved an accuracy of 78.5 percent on the dataset. Learned text preprocessing, feature extraction, and basic machine learning concepts.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills. The diversity of projects (sales performance, Netflix content, restaurant reviews) shows a broad interest in different data domains. The focus on practical application aligns with a results-oriented culture. However, without information on collaborative projects or professional experience, assessing team integration and broader cultural fit is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on data analysis tasks, from data preparation to visualization and insight generation. The sentiment analysis project suggests an interest in applying analytical techniques to solve specific problems. However, without psychometric test results or direct experience, it's difficult to assess stress handling, team collaboration, or work attitude.