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Data Science with less than a year in Machine Learning, NLP & Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Data Scientist Intern with 11 months of experience in developing AI/ML models for diverse applications, including healthcare, resume classification, and stock price prediction. Proficient in Python, NLP, machine learning algorithms (SVM, ARIMA, XG Boost), and data analysis tools (Pandas, Numpy, Streamlit, Scikit-learn). Adept at data preprocessing, feature engineering, model evaluation, and building interactive web applications for real-time predictions. Eager to apply strong analytical and technical skills to drive data-driven solutions.
Dayananda Sagar Academy of Technology and Management Bengaluru
B.E · Information Science & Engineering
August 1, 2021 – June 30, 2025
AI Variant
Data Science Intern
July 1, 2025 – April 1, 2026
Bengaluru, Karnataka, India
Rural healthcare Empowerment Using AI-Enhanced Telemedicine Kiosk
June 3, 2026 – Present
Developed an AI-enabled telemedicine kiosk to improve healthcare accessibility and reduce patient waiting time in rural areas. Integrated image detection and Bluetooth voice recording features to enhance patient interaction and communication efficiency. Implemented an RFID-based patient identification system for secure data management and faster patient registration. Used Python and AI-based automation techniques to improve system accuracy, operational efficiency, and healthcare service support.
Resume classification
June 3, 2026 – Present
Developed a machine learning-based resume classification system using NLP and support Vector Machine (SVM). Performed text preprocessing techniques including tokenization, stop-word removal, and TF-IDF vectorization for accurate text analysis. Trained and evaluated the model on multiple resume categories to improve classification accuracy and prediction performance. Built a streamlit web application supporting PDF and DOCX resume uploads with real-time prediction confidence score.
Stock price prediction
June 3, 2026 – Present
Developed a stock price prediction model using historical Apple stock market data and time-series forecasting techniques. Performed data preprocessing, trend analysis, and feature engineering using Python libraries such as pandas and Numpy. Built and evaluated forecasting models including ARIMA, SARIMA, and XG Boost to improve prediction accuracy. Analyzed model performance using RMSE and MAE metrics and visualized stock trends using Matplotlib and Seaborn.
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Data Science course completion
ExcelR Solution
January 1, 2026 – Present
Web development
Dev-Minds
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a breadth of interests and a proactive approach to learning and applying data science concepts across different domains (finance, HR, healthcare). This diversity suggests an openness to new challenges and a potential for good cultural fit in an innovative environment. The personal projects and certifications indicate a self-starter mentality. However, the candidate is still pursuing a bachelor's degree, which implies a junior level of professional experience, and cultural fit would also depend on mentorship availability and team structure.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse problems, from financial forecasting to healthcare and resume classification, suggesting adaptability. The focus on practical application and system integration (e.g., Streamlit web app, RFID system) points to a results-oriented approach. However, without direct assessment data on communication, logical reasoning, or teamwork, it's difficult to fully assess soft skills and operational fit.