Naseef Muhammad
@naseefmuhammad
Machine Learning Engineer with expertise in data analysis and modeling.
What I'm looking for
I am a Machine Learning Engineer with a strong foundation in programming and data analysis. My journey began with a BSc in Mathematics from the University of Calicut, where I honed my analytical skills and developed a passion for machine learning. I have successfully developed various projects, including an AI-powered SQL query engine and an interactive chatbot, showcasing my ability to apply complex algorithms to real-world problems.
My expertise spans across multiple machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as data manipulation tools like Pandas and NumPy. I am particularly proud of my work on the S&P 500 stock clustering and portfolio optimization project, where I utilized K-Means clustering and financial modeling techniques to enhance portfolio diversification. My commitment to continuous learning is evident through my completion of the IBM Data Science Professional Certificate, which has further solidified my skills in data science and machine learning.
Experience
Work history, roles, and key accomplishments
AI Chatbot Development
Self Employed
Developed an interactive chatbot using Hugging Face's Transformers library and Gradio for the user interface. Deployed the chatbot on a Hugging Face Space for easy access and sharing.
Natural Language SQL Query Engine
Self Employed
Developed an AI-powered SQL helper that processes natural language queries using DuckDB and an open-source language model. Implemented a system to execute SQL queries and present results in natural language for user accessibility.
AI Chatbot Development
Self Employed
Developed an interactive chatbot using Hugging Face's Transformers library and Gradio for the user interface. Deployed the chatbot on a Hugging Face Space for easy access and sharing.
Natural Language SQL Query Engine
Self Employed
Developed an AI-powered SQL helper that processes natural language queries using DuckDB and an open-source language model. Implemented a system to execute SQL queries and present results in natural language for user accessibility.
S&P500 Stock Clustering and Portfolio Optimization
Self Employed
Developed a machine learning pipeline in Python to analyze S&P 500 stocks and optimize portfolios. Optimized portfolios monthly using Efficient Frontier for maximum Sharpe ratio.
S&P500 Stock Clustering and Portfolio Optimization
Self Employed
Developed a machine learning pipeline in Python to analyze S&P 500 stocks and optimize portfolios. Optimized portfolios monthly using Efficient Frontier for maximum Sharpe ratio.
Education
Degrees, certifications, and relevant coursework
University of Calicut
Bachelor of Science, Mathematics
Focused on core mathematical principles including Linear Algebra, Calculus, Statistics, and Probability. Gained a strong foundation in quantitative analysis and problem-solving techniques.
University of Calicut
BSc Mathematics, Mathematics
Activities and societies: Relevant Coursework: Linear Algebra, Calculus, Statistics, Probability
Studied core mathematical concepts including Linear Algebra, Calculus, Statistics, and Probability. Gained a strong foundation in quantitative analysis and problem-solving relevant to data science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Skills
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