VISHESH SINGH

Aspiring Data Analyst currently pursuing a Master’s degree in Information Technology, with a strong academic foundation in data analysis, statistics, and programming. Gaining hands-on experience through academic projects involving data cleaning, visualization, and interpretation using tools such as Python, SQL, and Excel.

Actively developing skills in data visualization and analytical problem-solving, with a keen interest in transforming raw data into actionable business insights.Seeking an entry-level Data Analyst role in a dynamic IT environment to apply analytical knowledge, contribute to data-driven decision-making, and grow professionally.

BLOODBANK WEBSITE 

• Developed a web-based Blood Bank Management System using PHP, MySQL, and WAMP Server
• Implemented user authentication (registration/login) for donors and administrators
• Built functionality to search blood availability by blood group and location
• Designed a blood request module to handle emergency requirements
• Created an admin panel to manage donor records and blood inventory
• Applied form validation and error handling to ensure data accuracy
• Improved system efficiency by digitizing manual blood bank processes

STUDENT SPEND ANALYSIS

• Analyzed student spending patterns to identify trends and insights in expenditure behavior.
• Performed data cleaning, preprocessing, and transformation to ensure data accuracy and consistency.
• Utilized tools such as Python, SQL, Excel, and Power BI for data analysis and processing.
• Developed interactive dashboards and visualizations to represent category-wise expenses and monthly trends.
• Applied statistical techniques to interpret data and uncover meaningful patterns.
• Generated actionable insights to support data-driven decision-making.
• Improved data presentation using clear and concise visual storytelling techniques.

COUNTRY SPEND ANALYSIS

• Analyzed country-wise spending data to identify global financial trends and expenditure patterns.
• Performed data cleaning, preprocessing, and transformation to ensure accuracy and consistency of datasets.
• Utilized tools such as Python, SQL, Excel, and Power BI for data analysis and processing.
• Developed interactive dashboards to visualize country-wise expenses, comparisons, and regional trends.
• Conducted comparative analysis to evaluate spending behavior across different countries.

AI-DRIVEN MICROPLASTIC DETECTION IN OCEANS USING DRONE-BASED IMAGING

• Built an end-to-end automated AI pipeline to detect microplastics from drone-captured ocean images
• Preprocessed and structured image dataset (handling lighting variations, altitude differences, and noise reduction) to improve model performance
• Developed and trained a Convolutional Neural Network (CNN) for binary image classification (microplastic presence detection)
• Automated the workflow from image input → preprocessing → prediction → visualization, eliminating manual analysis
• Performed feature extraction and statistical analysis (mean, standard deviation) to support data insights
• Visualized environmental data using Matplotlib & Seaborn (particle distribution, polymer trends)