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Data Analyst with less than a year in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
Detail-oriented BCA undergraduate (2023–2026) with internship experience in data analysis, business intelligence, and machine learning. Proficient in Python, SQL, Power BI, and Advanced Excel, with hands-on skills in data cleaning, dashboard development, reporting automation, and statistical analysis. Currently interning as a Data Analyst at Krutrim Insights; previously at Sparsh Printers. Seeking Data Analyst / Business Intelligence / ML Engineer roles to apply data-driven problem-solving skills in real-world environments.
Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi
Bachelor of Computer Applications (BCA)
August 1, 2023 – June 30, 2026
Krutrim Insights
Data Analyst Intern
September 1, 2025 – Present
India
Sparsh Printers
Data Analyst Intern
June 1, 2025 – August 1, 2025
India
Machine Learning Movie Recommendation System
January 1, 2026 – June 1, 2026
Developed a hybrid movie recommendation system using Machine Learning techniques and content-based filtering. Built recommendation logic using Python, pandas, and scikit-learn to suggest movies based on user preferences and similarity analysis. Performed data preprocessing, feature extraction, and model evaluation using real-world movie datasets. Improved recommendation accuracy by implementing similarity algorithms and optimized data handling techniques.
StreamVerse – OTT Streaming Platform
January 1, 2026 – June 1, 2026
Developed a responsive OTT platform interface with movie browsing and recommendation features. Designed frontend components using HTML, CSS, and JavaScript with focus on user-friendly UI/UX. Integrated personalized recommendation concepts inspired by machine learning-based content filtering.
Artificial Intelligence with Python
Dell & Learning Links Foundation
June 1, 2026 – Present
Data Analytics Training
Anudip Foundation
June 1, 2026 – Present
Data Analysis Fundamentals
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in data analysis, business intelligence, and machine learning, which aligns well with a data-driven organizational culture. The academic projects and certifications demonstrate initiative and a continuous learning mindset. However, the candidate is still an undergraduate with limited professional experience, which might require more mentorship and integration into a professional team environment. The diversity of projects (ML, web platform) shows breadth, but the primary focus is clearly on data analysis.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences indicate an ability to collaborate with cross-functional teams and apply analytical thinking to real-world business challenges. The focus on improving operational efficiency and data accessibility suggests a results-oriented approach. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.