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Pursuing Masters in Quantitative Management at Duke's Fuqua. Merging data science with modern management for insightful, data-driven strategies.
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Assessing your cultural and operational fit
Causality-Analysis-StudyLoad-MentalHealth
February 26, 2024 – March 29, 2024
R Script for causal analysis on whether high study load impacts anxiety levels in students. Tools used include RCT, Matching and Regression Adjustment as well as Instrument Variable Regression.
View ProjectDetecting-Anomaly-in-ECG-Data-Using-AutoEncoder-with-PyTorch
January 13, 2024 – January 13, 2024
This project, "Detecting Anomaly in ECG Data Using AutoEncoder with PyTorch," focuses on leveraging an LSTM-based Autoencoder for identifying irregularities in ECG signals. It employs PyTorch to train and evaluate the model on datasets of normal and anomalous heart patterns, emphasizing real-time anomaly detection to enhance cardiac monitoring.
View ProjectRecommending-Restaurants-Tailored-Culinary-Recommendations-through-NLP
January 7, 2024 – January 26, 2024
Taste Match is an end-to-end project that utilizes advanced natural language processing techniques. It expertly recommends restaurants by analyzing your favorite dining spots, ensuring personalized and accurate suggestions
View ProjectImage-Captioning-with-Transformers--Transforming-Visual-Content-into-Audio-for-the-Visually-Impaired
December 28, 2023 – January 13, 2024
Using PyTorch, combining CNN for feature extraction and Transformers for natural language generation. The project enhances accessibility for the visually impaired, converting visual content into precise audio descriptions
View ProjectPredicting-Real-Estate-Values-with-MLP-Neural-Networks
December 28, 2023 – December 28, 2023
Use of Multilayer Perceptron (MLP) neural networks to accurately predict house prices, revolutionizing real estate valuation.
View ProjectMusic-Recommendation-System
November 5, 2023 – November 7, 2023
This repository contains the implementation of a Music Recommendation System using the Spotify dataset from Kaggle. The system is built with Machine Learning techniques to suggest songs to users based on their listening history and preferences.
View ProjectDisease-Forecasting-with-Machine-Learning--A-Predictive-Approach
November 5, 2023 – November 7, 2023
This project aims to utilize Machine Learning (ML) to predict diseases based on a set of symptoms. It serves as a predictive tool that could be used to aid preliminary medical diagnostics.
View ProjectFootball-Analytics-with-python
June 12, 2020 – June 12, 2020
This repository will contain all sorts of basic visualisation to step into the world of football analytics
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong individual drive and passion for exploring various data science domains. The projects are diverse, ranging from music recommendation to medical anomaly detection, suggesting a curious and adaptable mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, communication, or problem-solving in a team context.