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Data Science with less than a year in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer (Fresher) with a strong foundation in data science and machine learning. Experienced in developing high-accuracy predictive models and recommendation systems, evidenced by a personalized movie recommendation system that increased user engagement by 40%. Proficient in Python, SQL, HTML, CSS, MongoDB, and data visualization tools like PowerBI, QlikView, and Tableau. Eager to contribute to innovative projects and solve complex coding challenges.
Jain university
Bachelor of computer science · data science
September 1, 2021 – June 1, 2025
Narayana Junior college
Senior Secondary
May 1, 2019 – December 1, 2021
Narayana International school
Higher Secondary
June 1, 2018 – April 1, 2019
Ybi Foundation
Internship-Project Management
October 1, 2025 – Present
Bengaluru, Karnataka, India
POTATO LEAF DISEASE DEEP LEARNING
January 1, 2025 – June 1, 2026
Developed a high-accuracy (98% Test Accuracy) system to classify potato leaf disease (Early Blight, Late Blight, Healthy) potato leaf samples. Implementing CNN architectures (VGG16, ResNet-9) via TensorFlow/Keras, utilizing PlantVillage dataset augmentation, and optimizing with transfer learning.
DATA STRUCTURES AND ALGORITHMS In JAVA
Unknown
June 1, 2026 – Present
JAVA in Great learning
Great Learning
June 1, 2026 – Present
python in great learning
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's interest in competitive programming, software development, and hackathons suggests a strong alignment with a culture that values continuous learning, innovation, and problem-solving. Their academic project and internship experience indicate a practical, application-oriented mindset. The breadth of skills (Python, SQL, HTML, CSS, MongoDB, PowerBI, QlikView, Tableau) and diverse interests (competitive programming, software development) suggest adaptability and a willingness to explore different technical areas, which can be a good cultural fit for dynamic environments. However, the limited professional experience makes it difficult to fully assess their fit within a specific team or organizational culture.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and problem-solving through competitive programming and project involvement. Their leadership role in the Anova Club suggests organizational and teamwork potential. However, the provided data is insufficient to assess specific soft skills like communication clarity in a professional setting, stress handling, or detailed team collaboration effectiveness.