MusicSuggestionPy
This projects create an AI model in Python to guess the mood of a person based on person's music preference. The user has to enter tempo, loudness, valence and energy, so the AI…
- Tkinter
- Sklearn
- Pandas
Role page
Data Scientist
I build predictive models and analytical systems that hold up in real conditions. I focus on validity, evaluation, and translating modeling outputs into decisions people can trust.
What I deliver
- Models with strong baselines and clear evaluation
- Feature engineering and error analysis that explains performance
- Problem framing and metrics aligned to the decision
- Clear communication of assumptions and limitations
Core strengths
Modeling
- Classification and regression
- Forecasting and time series mindset
- Experiment driven iteration
Applied domains
- Text and NLP projects
- Computer vision work
- Practical constraints and defensible results
Selected Data Science projects
Curated for Data Scientist roles. Overlap with other roles is allowed when the project is genuinely relevant.
Dream-Analysis-Project
This project is designed to analyze and interpret dreams using pre-trained sentiment models and NLP techniques. It helps users gain insights into their dream patterns, emotions…
- Python
Image-Captioning-Program
This project builds an image captioning model that will analyse input images and generate a short description.
- Python
Toxicity Classsification Model
A model that recognises toxicity and minimises bias with respect to mentions of identities. If a comment made by the user is passed through this model, it will predict the toxicity…
- Python
- Jupyter Notebook
Interpretation of Loss and Accuracy for a Machine Learning Model
An article about "Interpretation of Loss and Accuracy for a Machine Learning Model"
Telecom-Customer-Churn-Analysis
This project analyzes a dataset of telecom customers to understand factors contributing to customer churn.
- Python
- R
NASDAQ Data Analysis
This repo contains analysis like a dashboard and time series forecast on NASDAQ data. Created interactive dashboards using Tableau, Power BI, or D3.js to visualize a dataset.
- Python
Australian-Real-Estate-Prediction-Model-Project
This project aims to develop an accurate prediction model to guide property investment decisions in Australia. By leveraging comprehensive real estate data, the model will provide…
- Python
Investment-Prediction-Project
This project is designed to predict trends and prices for stocks, shares, ETFs, commodities, and currency exchange rates. The goal is to provide actionable insights for investors…
- Python
- pandas
- requests
- yfinance
- alpha_vantage
Market Campagin Analysis using Logistic Regression and Random Forest
This project analysis a marketing campaign's success using customer data. Logistic Regression and Random Forest models were built, with the Random Forest model performing better…
- Python
- Jupyter Notebook
Rain Predicition ML Model in Sydney
The objective of this project is develop a predictive classifier to predict the next-day rain on the target variable RainTomorrow
- Python
- Jupyter Notebook
Customer Lifetime Value
This project predicts customer's lifetime value (CLV) using a data provided by MLAA bank. By predicting CLV through transactional histories, a forecast into the customer's lifetime…
- Python
- Jupyter Notebook
- Pandas