Data Analyst with less than a year in Data Visualization & Machine Learning
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Highly motivated and results-driven aspiring Data Analyst with a solid foundation in Python, SQL, Excel, and Power BI. Possessing practical experience in data visualization, business insights, and analytical decision-making gained through a virtual internship at Tata Group. Skilled in developing data-driven solutions, building machine learning models for recommendations and classification, and creating interactive dashboards to present key performance indicators. Seeking to leverage strong analytical and data storytelling abilities to contribute to impactful projects.
BAMU University
Bsc · Data Science (CS IT Animation)
August 1, 2023 – June 30, 2026
Tata Group
Data Analyst Virtual intern
June 1, 2025 – September 1, 2025
India
Spotify Song Recommendation System
June 1, 2026 – Present
Developed a music recommender using Python, Pandas, Scikit-learn, and Spotify API. Developed a mood-driven music recommendation system that suggests energetic, motivational, and other mood-specific songs using ML similarity algorithms. Built an interactive Streamlit web application where users select their mood and receive real-time personalized song suggestions. Implemented cosine similarity to match user-selected moods with the improved accuracy. Optimized preprocessing and feature engineering.
Course Sales Analysis
June 1, 2026 – Present
Course Sales Analysis - Interactive Power BI Dashboard Performed data cleaning and transformation using Power Query and DAX for accurate reporting. Automated data refresh and applied slicers/filters to enable dynamic, real-time insights for decision-making. Visualized KPIs like total revenue ($1.2M), Gross Sale($141), and Number of Total Orders(52) segmented by course type, state, and region.
Movie Genre Classification
June 1, 2026 – Present
Developed a machine learning model to predict movie genres (Thriller, Horror, Romantic, etc.) using audience ratings and metadata features. Applied algorithms like Random Forest and SVM to compare model performance. Performed data preprocessing, feature engineering, and model evaluation using accuracy and confusion matrix.
Microsoft Certified: Power BI
Microsoft
June 1, 2026 – Present
Associate Cloud Engineer
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from music recommendation to course sales analysis and movie genre classification, indicates a broad interest in applying data science across different domains. The virtual internship with Tata Group suggests an understanding of corporate environments. The pursuit of certifications (Microsoft Certified: Power BI, Google Certified: Associate Cloud Engineer) demonstrates a proactive learning attitude and commitment to professional development, which aligns well with a growth-oriented culture. The candidate is currently pursuing a Bachelor's degree, indicating a foundational stage in their career.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as 'Attention to detail', 'Time Management', 'Teamwork', and 'Verbal & Written Communication'. These are essential for operational fit in a data analyst role, where clear communication of insights and collaborative problem-solving are key. The project descriptions also indicate an ability to build interactive applications and present data effectively.