Exploring the logic behind patterns and the structure in randomness. From cleaning unstructured data to building machine learning models, each step feels like reverse-engineering how the world thinks. While I carry a creative past in writing and art, today I channel that depth into data-looking beyond just accuracy or metrics, and into the 'why' behind the 'what'.
0 + Projects completed
Passionate about transforming data into actionable insights, with a strong inclination toward solving real-world problems using AI and machine learning. I'm currently building hands-on projects, working with real-world datasets, and actively seeking opportunities to grow in Al, data science, and machine learning- where curiosity drives meaningful outcomes.
A hands-on certification focused on applicative and foundational machine learning using Python. Gained practical experience with Scikit-learn, supervised and unsupervised learning, model evaluation, and hyperparameter tuning.
A hands-on certification focused on text processing, natural language techniques, and unsupervised topic modeling using Python. Explored the use of nltk, regular expressions, and ML tools to prepare and analyze textual data.
A Certification course designed to understand the core principles, social implications, and real-world applications of machine learning. Gained hands-on experience building a computer vision model using visual tools.
Grade: Distinction.
Grade: Distinction.
"In every messy dataset, I see a system waiting to be understood."
A dual-model predictive analytics project aimed at enhancing maternal and fetal healthcare. One model evaluates overall pregnancy risk levels, while the other predicts fetal health categories based on medical indicators.
A machine learning project focused on predicting customer churn in the telecom sector. The aim is to help businesses proactively identify customers at risk of leaving and take early retention action.
This project addresses the problem of customer attrition for "Bank's credit card services". This project focuses on predicting customer churn for Bank’s credit card services.
This project was developed to optimize stock portfolios by identifying hidden structures in financial data. It enables investors to construct diversified portfolios and minimize risk exposure.
This project was designed to assist the Office of Foreign Labor Certification (OFLC) in automating and expediting visa decision-making to predict U.S. visa application outcomes using historical case data.
Let's turn questions into models-and insight into impact !
Goa, India