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Data Science with less than a year in Deep Learning & Machine Learning.
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Assessing your cultural and operational fit
As Data Scientist with hands-on expertise in Deep Learning, Python, Machine Learning, and popular data analysis libraries including NumPy, Pandas, Matplotlib, and Seaborn. Experienced in developing and deploying data-driven solutions, from predictive modeling to insightful data visualizations. Passionate about solving complex real-world problems and eager to contribute technical skills within a dynamic and collaborative team environment.
MGN Public H.S. School
Higher Secondary Education
N/A – Present
MGN Public. H.S. School
High School Education
N/A – Present
Medi-Caps University
B.Tech · Computer Science | Data Science
N/A – June 30, 2026
Medicaps University
Research (Intern)
May 1, 2025 – June 1, 2025
India
Edunet Foundation
AI/ML (Intern)
February 1, 2025 – March 1, 2025
India
Agragates Academy
Data science (Intern)
January 1, 2025 – February 1, 2025
India
Brain Tumor Detection using Transfer Learning
June 8, 2026 – Present
Implemented Deep Learning algorithms with transfer learning (VGG16 model) to detect Brain tumor using MRI images with classification of tumor.
Brain Tumor Detection
June 8, 2026 – Present
Developed a machine learning-based classification model for brain tumor detection using various algorithms (SVM, Random Forest) with PCA for dimensionality reduction.
View ProjectGluacoma Detection
June 8, 2026 – Present
Implemented both Machine Learning and Deep Learning algorithms to compare their performance. The deep learning models included U-Net, U-Net++, and a 13-layer CNN, while the machine learning approach used SVM along with feature extraction techniques such as Gabor filters, GLCM, and PCA. This comparison helped analyze which method provides better accuracy and results for the given dataset.
Data Science & Analytics
HP Foundation / HP Life
June 1, 2026 – Present
Paper Presenter
IC-NBIDA`25 Conference
January 1, 2025 – Present
Paper Presenter
IC-EETA`25 Conference
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internships are well-aligned with a Data Science role, demonstrating a clear interest and foundational skill set in the field. The diversity of projects (brain tumor detection, glaucoma detection) shows a breadth of application areas within medical imaging, which is a positive. However, all projects are academic, and internships are short-term, indicating limited exposure to diverse team environments or long-term project commitments. The candidate is still pursuing a bachelor's degree, which suggests a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to compare and analyze different algorithmic approaches, suggesting analytical thinking. Participation in conferences as a paper presenter indicates initiative and a willingness to share knowledge. The internship experiences, though short, show exposure to real-world data handling and model application.