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Data Science with less than a year in Machine Learning, AI & Big Data Analytics.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science student, holding firm understanding in statistics, machine learning, artificial intelligence, and big data analytics. Has experience in university level assignments related to predictive modeling, data analysis, and natural language processing. Expertise includes ability to solve problems and provide analytical skills with attention to details; transforming data into business value for data-driven decisions.
Manipal Academy of Higher Education (MAHE)
Bachelor of Data Science and Engineering
August 1, 2023 – June 30, 2027
Flight Delay Prediction System
June 20, 2026 – Present
Built a predictive model based on the historic data about flights to predict delay probabilities that helps both airlines and passengers to decide the flight to book. Used python language and libraries such as Pandas, scikit-learn to perform extensive data analysis. Tested the prediction accuracy of logistic regression, Random forest algorithms to optimize it.
House Price Prediction
June 20, 2026 – Present
Built a prediction model based on the locations, size and structure of the building. Achieved good prediction accuracy after a rigorous analysis of the real estate data, feature selection and iterative refinement of the model
Data Analytics Professional Certificate
IBM
June 1, 2026 – Present
Deep Learning Specialization
Deeplearning.AI
June 1, 2026 – Present
Machine Learning Certification
Simplilearn
June 1, 2026 – Present
Object-Oriented Programming
Duke University
June 1, 2026 – Present
Database Management Systems (DBMS)
University of Colorado
June 1, 2026 – Present
Artificial Intelligence
OP Jindal Global University
June 1, 2026 – Present
Cybersecurity
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is pursuing a Bachelor's degree in Data Science and Engineering and has undertaken several academic projects and certifications relevant to the Data Science field. This indicates a strong interest and commitment to the target role. The breadth of certifications, including AI, DBMS, and OOP, suggests a willingness to learn and adapt. However, the lack of professional experience or diverse project types (beyond academic predictive modeling) limits the assessment of cultural fit in a real-world team or organizational setting.
Soft Skills & Operational Fit
The candidate's profile highlights problem-solving skills and attention to detail, crucial for data-driven decision-making. However, without completed psychometric or English tests, it's difficult to assess work attitude, stress handling, team collaboration, or communication clarity in a professional context.