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Data Science with less than a year in Machine Learning & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech student specializing in Computer Science and Engineering with a focus on AI/ML. Possesses strong foundational knowledge in Data Structures, Algorithms, Operating Systems, and Database Management Systems. Experienced in developing Machine Learning and AI projects, including house price prediction and explainable AI for weather forecasting, utilizing tools like Python, TensorFlow, PyTorch, and Streamlit. An active member of the AIML Club, contributing to discussions, workshops, and projects in the field.
Gandhi Institute of Engineering and Technology
BTech · Computer Science and Engineering With AIML
January 1, 2021 – January 1, 2025
House Price Prediction using ML
June 18, 2026 – Present
Comprehensive feature engineering & preprocessing. Exploratory Data Analysis & feature importance analysis - Model selection & ensemble learning. Rigorous training, validation & hyperparameter tuning.
Explainable AI for weather Forecasting
June 18, 2026 – Present
Built dynamic visualization dashboards for forecasters. Balanced accuracy vs interpretability via hybrid modeling. Validated explanations against meteorological insights. Strengthened model development and fairness.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying learned concepts. The 'House Price Prediction' project shows a focus on core ML pipeline development, while the 'Explainable AI for Weather Forecasting' project indicates an interest in advanced topics like interpretability and real-world application. Involvement in an AIML club suggests a collaborative and learning-oriented mindset. The target role of Data Science aligns well with the candidate's academic background and project experience, indicating a good foundational cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate's involvement in the AIML Club suggests an interest in collaborative learning and contributing to the community. Project descriptions indicate an ability to articulate technical processes and outcomes. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.