Data Analyst with less than a year in data visualization & machine learning.
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Highly motivated Data Analyst with hands-on experience in data visualization, business insights, and analytical decision-making. Proficient in Python, SQL, Excel, and Power BI, with a solid foundation in machine learning algorithms and data storytelling. Eager to apply analytical skills to solve complex business problems and drive data-driven strategies.
BAMU University
B.Sc. · Data Science (CS IT Animation)
August 1, 2023 – January 1, 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 improved accuracy. Optimized preprocessing and feature engineering.
Course Sales Analysis
June 1, 2026 – Present
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 18, 2026 – Present
Google Certified: Associate Cloud Engineer
June 18, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a proactive learning approach and an interest in applying data science concepts to real-world scenarios (e.g., Spotify recommendations, movie classification). The virtual internship with Tata Group indicates an understanding of corporate environments and business-oriented solutions. The breadth of skills and project types suggests adaptability and a willingness to explore different domains within data analysis, which aligns well with a dynamic team culture.
Soft Skills & Operational Fit
The candidate demonstrates good attention to detail, time management, teamwork, and verbal & written communication skills as listed in the resume. The virtual internship experience also highlights data storytelling and insight communication, which are crucial for a Data Analyst role. The project diversity suggests an ability to work on different types of analytical problems.