About
A highly motivated and results-driven B.Tech student in Computer Science (AI & ML) with a strong foundation in developing and deploying predictive models and recommendation systems. Demonstrated expertise in Python, TensorFlow, Scikit-learn, and data preprocessing, evidenced by projects achieving up to 92% accuracy and 60% reduction in processing time. Eager to leverage advanced machine learning skills and a passion for innovation to contribute to dynamic technical teams in the AI/ML industry.
Volunteer
VIT Bhopal University
|ML Club Core Member
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Summary
Actively contributed to the ML Club, leading hackathon teams and expanding expertise in diverse technical domains relevant to machine learning and quantitative modeling.
Highlights
Led a team in the MariaDB Python Hackathon, successfully developing database-driven ML solutions for over 100 participants.
Completed "Finance 101" by StockPe, gaining foundational expertise in algorithmic trading and quantitative modeling principles.
Languages
English
Hindi
Skills
Programming Languages
Python, SQL, Java, C++.
Machine Learning
TensorFlow, Scikit-learn, LSTM, Neural Networks, Predictive Modeling.
Databases
MySQL, PostgreSQL, Data Warehousing.
Development Tools
Jupyter Notebooks, Git, Gradio, Streamlit, Microsoft Excel.
Data Preprocessing
MinMaxScaler, Sliding Windows, Feature Engineering, TF-IDF Vectorization.
Model Deployment
Hugging Face, Gradio, Streamlit.
Data Analysis
Pandas.
Quantitative Modeling
Algorithmic Trading, Financial Analysis.