Headline

B.Tech CSE (AI & ML) Graduate | Data Science Intern | Machine Learning & Data Analytics Enthusiast | Python | SQL | Power BI | Open to Opportunities

About

I am a B.Tech Computer Science and Engineering Graduate passionate about Artificial Intelligence, Machine Learning, Data Science, and Software Development. I enjoy building practical solutions that solve real-world problems through technology. My project experience includes Energy Demand Forecasting using ARIMA, AI-Powered Stock Market Analysis, Pesticide Detection using Image Classification, Personalized Fitness Recommendation Systems, and E-Learning Platforms. Through these projects, I have gained hands-on experience in Python, Machine Learning, Data Analysis, Streamlit, SQL, and Generative AI. I am continuously learning new technologies and strengthening my skills in problem-solving, software development, and data-driven decision-making. I am currently seeking internship and entry-level opportunities where I can contribute, learn from industry professionals, and grow as a technology professional. Skills: Python, Machine Learning, Data Science, SQL, Streamlit, Generative AI, Data Analysis, Time Series Forecasting, Software Development, Problem Solving.

Location

Alathur

AI stack

gemini

hugging face

langchain

openai

Work experience

Data Analyst at Pyzaql, Feb 2024 - May 2024 · 4 mos

Data Science Intern at Pyzaql, Feb 2024 - May 2024 · 4 mos, Deep Learning Model Development: Built and optimized ML/DL models using Python and Scikit-learn; applied CNN-inspired feature extraction techniques for structured and unstructured data classification tasks. Image & Data Pipeline Engineering: Designed end-to-end data preprocessing and inference pipelines using Pandas and NumPy — including data augmentation strategies applicable to image datasets. Model Optimization & Evaluation: Applied hyperparameter tuning, algorithm selection, and iterative performance evaluation to maximize model accuracy and generalization — core skills for CV model fine-tuning. Cloud & Scalable Deployment: Leveraged AWS and Azure for deploying scalable AI pipelines; applied distributed computing principles to high-throughput data processing. Visualization & Reporting: Communicated model performance and insights using Matplotlib and Seaborn to cross-functional teams in an agile startup environment.

Education

Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning, SRM Institute of Science and Technology (SRMIST)

Bachelor of Technology, Computer Engineering, SRM Institute of Science & technology