AI Engineer with less than a year in Data Science and Machine Learning with hands-on project experie
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Recent B.Tech IT graduate skilled in Python, SQL, Power BI, and Machine Learning with hands-on experience in data analytics and AI-based projects. Passionate about Data Science, Machine Learning, and AI technologies.
Bharat Institute of Engineering and Technology
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
TSMS Model School and Junior College
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Multimodal AI Analysis for Heart Disease Prediction
January 1, 2026 – Present
Developed an AI-based system to predict heart disease using clinical data and ECG signals. Built a Random Forest model for clinical data analysis and a CNN model for ECG signal classification. Combined predictions using decision-level fusion to improve accuracy and created a Streamlit web application for real-time prediction and visualization using Python, TensorFlow, Keras, Pandas, and Scikit-learn.
View ProjectBrain Stroke Detection Using Deep Learning
January 1, 2026 – Present
Developed a deep learning model to detect brain stroke from MRI images using Convolutional Neural Networks (CNN). Performed image preprocessing techniques such as resizing and normalization to improve model performance. Trained and evaluated the model for stroke classification using Python, TensorFlow, Keras, and NumPy.
View ProjectSales Performance Analysis Dashboard
January 1, 2026 – Present
Analyzed sales datasets to identify business trends, product performance, and revenue patterns using Python and Power BI. Performed data cleaning and exploratory data analysis using Pandas and NumPy, and created visualizations to generate business insights such as top-selling products and monthly sales trends.
View ProjectPython 101 for Data Science
IBM
June 1, 2026 – Present
Deep Learning Basics
Infosys
June 1, 2026 – Present
Introduction to Data Science
Infosys
June 1, 2026 – Present
AI and NLP Fundamentals
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI and data science, particularly in healthcare applications. This specialization could be a good fit for organizations focused on impactful AI solutions. The breadth of tools and techniques used (ML, DL, data visualization, web app development) suggests adaptability and a willingness to learn diverse skills. However, the lack of professional experience makes it challenging to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and deliver functional applications. The academic nature of projects suggests a foundational understanding of problem-solving and technical execution. However, without professional experience or psychometric test results, it is difficult to assess operational fit, teamwork, or stress handling capabilities.