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Data Science with less than a year in Machine Learning & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly motivated and Data Science Engineer graduate with strong analytical and problem-solving skills. Passionate about leveraging machine learning, python and cloud technologies to build innovative and datadriven solutions. Seeking an entry-level data science role to apply my skills and contribute to impactful projects.
Nagarjuna College Of Engineering and Technology
Bachelors of Technology · Data Science Engineering
January 1, 2021 – January 1, 2025
Sri Chaitanya Junior College
Intermediate (MPC)
January 1, 2019 – January 1, 2021
Sree Bharathi English Medium High School
SSC · SSC
January 1, 2018 – January 1, 2019
Identification of Identical twins using Deep learning
June 1, 2025 – Present
Built a CNN-based facial recognition model using TensorFlow and OpenCV to distinguish identical twins. Applied preprocessing techniques such as resizing, normalization, and augmentation to improve model robustness. Achieved 90%+ accuracy on the test dataset after tuning hyperparameters and applying augmentation.
Introduction to Data Science and Python
Internshala trainings
January 1, 2024 – Present
Python Programming and Application Development
Skillup Coder
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic project on facial recognition using deep learning aligns well with the target role of Data Science. The listed soft skills (leadership, good communication, team lead, time management) suggest a collaborative and organized individual. The breadth of technical skills (Python, SQL, ML, Deep Learning, EDA) indicates a willingness to learn and adapt, which is beneficial for cultural fit in a dynamic environment. However, the lack of diverse project experience beyond a single academic project limits the assessment of adaptability to different problem domains.
Soft Skills & Operational Fit
The candidate demonstrates leadership and teamwork through managing tasks in college technical events and leading an ML project. Good communication and time management are listed as soft skills. The academic project shows an ability to apply theoretical knowledge to practical problems, which is a positive indicator for operational fit in a data science role.