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BS@bhaveshsrivastava
Enthusiastic Data Science student eager for hands-on internship experience.
IndiaI am an enthusiastic Data Science student currently pursuing my 4th year in an Integrated BCA+MCA program with a specialization in Data Science. I am eager to secure an internship to gain hands-on experience with industry-leading tools and methodologies. My academic journey has been marked by a strong focus on data analytics and machine learning, which I am passionate about.
Throughout my studies, I have undertaken several projects that showcase my skills and dedication. For instance, I developed a robust full-stack website using Django and Bootstrap, which significantly improved user engagement. Additionally, I created a machine learning model for text summarization using Hugging Face’s transformer architecture, achieving enhanced prediction accuracy. My project on anomaly detection in IoT devices demonstrated my ability to apply deep learning techniques effectively, achieving an impressive accuracy of 95%.
With a solid foundation in programming languages such as Python, R, and C, along with expertise in data visualization tools like Power BI and Tableau, I am well-equipped to contribute to data-driven projects. I am excited about the opportunity to apply my skills in a practical setting and to learn from industry professionals.
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Work history, roles, and key accomplishments
Personal Project
Mar 2025 - Apr 2025 (1 month)
Developed a content-based movie recommendation system using TF-IDF vectorization and FAISS for fast similarity search over 92,000+ movies. Constructed a unified movie metadata dataset by aggregating IMDb and TMDB data, enhancing semantic tagging through NLP preprocessing, and deployed an interactive interface using Streamlit with TMDB API integration.
Personal Project
Dec 2024 - Mar 2025 (3 months)
Developed an LSTM, CNN, and ANN based model for anomaly detection in IoT devices using the CWRU Bearing Dataset, achieving an overall accuracy of 95%. Optimized model training with the Adam optimizer for efficient parameter updates and improved detection accuracy.
Personal Project
Sep 2024 - Nov 2024 (2 months)
Developed and implemented a machine learning model for text summarization using Hugging Face’s transformer architecture. Conducted comprehensive evaluations of multiple deep learning models, like T5 and Distil BART, by comparing their ROUGE scores, and deployed the project using Streamlit for an interactive user experience.
Degrees, certifications, and relevant coursework
UAIntegrated BCA + MCA, Data Science
Grade: BCA CGPA: 8.54
Currently pursuing an Integrated BCA + MCA with a specialization in Data Science. Focused on gaining hands-on experience with industry-leading tools in data science.
Intermediate, Commerce
Grade: 77%
Completed intermediate education with a focus on the Commerce stream. Gained knowledge in business-related subjects.
High School
Grade: 74%
Completed high school education. Developed foundational academic skills across various subjects.
Software and tools used professionally
IndiaYou can contact Bhavesh and 90k+ other talented remote workers on Himalayas.
Message Bhavesh
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