KSwaviman
AI Engineer | MS in Data Science | University of Trento, Italy info@swavimankumar.com
Rome, Italy
KSwaviman's Stars
KSwaviman/Conjoint-Analysis
This project aims to conduct a random survey design for collecting responses regarding wine preferences of Italian consumers. Furthermore, it attempts to understand how preference share gets affected as we vary different attributes associated with wine with the use of a research method called Conjoint Analysis..
adamparkosidis/statistical-analysis-Gaia-data
Estimating the distance of clusters by analysing Gaia data
KSwaviman/ETL_Meltano_framework
This project demonstrates a complete ETL (Extract, Transform, Load) pipeline that integrates data extraction from an API, data transformation and normalization, and data exposure via an API endpoint. The solution leverages Meltano for ETL orchestration, FastAPI for API Endpoint, and Docker containerization.
KSwaviman/Cracking-The-Personality-Code-A-Behavioral-Research
Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.
KSwaviman/EDA-Clustering-Classification-on-Stroke-Prediction-Dataset
Perform Extensive Exploratory Data Analysis, apply three clustering algorithms & apply 3 classification algorithms on the given stroke prediction dataset and mention the best findings.
KSwaviman/Social-Dynamics-Project
The purpose was to study the mood of respondents, what are the predictors of mood among students with different personality types and how do these predictors vary between different time diaries.