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Symbiosis Institute of Technology
Data Scientist
June 21, 2026 – Present
Supplier-News-Categorization
November 13, 2024 – November 26, 2024
This repository contains the code and datasets for developing a Supplier News Categorization System. The system classifies news articles into predefined categories: Geopolitical, Finance, Natural Disasters, and Regulatory. It leverages advanced NLP techniques, including topic modeling and classification using BERT-based embeddings.
View ProjectNews_Categorization_MLOps
September 7, 2024 – November 26, 2024
This project leverages Machine Learning (ML) and MLOps principles to automate the categorization of supplier-related news articles into predefined categories such as Financial, Geopolitical, Natural Disasters, and Regulatory. The system is deployed using Streamlit with Docker for an interactive, web-based user experience.
View ProjectHumanActivityRecognition-Using-CV-and-Deep-Learning
July 11, 2024 – July 11, 2024
In this project we tried to develop a robust system capable of accurately recognizing human activities from video data in real-time. We aim to leverage the kinetics dataset, a large-scale dataset containing human action videos across a wide range of categories, and employ a pretrained ResNet-34 model for activity classification.
View ProjectCreditCardFraudDetection
June 21, 2024 – June 21, 2024
This repository focuses on credit card fraud detection using Logistic Regression and KMeans clustering. It includes code for data preprocessing, model training, and evaluation using a real-world dataset. The project aims to accurately identify fraudulent transactions and compare the performance of both approaches.
View ProjectHousePricePrediction_BostonDataset
June 21, 2024 – June 21, 2024
This repository contains a project for predicting house prices using the Boston Housing dataset. It employs various machine learning algorithms, including Linear Regression, Decision Trees, and Random Forests. The project involves data preprocessing, model training, and evaluation to accurately estimate house prices.
View ProjectGAN-RMFC-Div-A-ArtisticStyleTransfer
May 2, 2024 – May 3, 2024
Explore artistic style transfer with CycleGANs and Neural Style Transfer (NST). Train CycleGANs to convert photos into Monet-style paintings and use pretrained VGG-19 for fast NST application. Compare and experiment with both approaches.
View Project-Multimodal-Sentiment-Analysis-using-Multitasking
March 22, 2024 – June 15, 2024
-Multimodal-Sentiment-Analysis-using-Multitasking — GitHub repository
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong interest in diverse data science applications, from computer vision to NLP and traditional ML. This breadth of interest could be a good fit for a dynamic environment that values exploration and continuous learning. The MLOps project also indicates an understanding of the importance of deployment and operationalization, which is crucial for real-world impact. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to assess cultural fit regarding teamwork and interpersonal skills. The experience level being 0, despite a listed role, suggests the candidate is early in their career, which might require more mentorship and guidance in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and hands-on approach to learning and problem-solving. The diversity of projects indicates adaptability and a willingness to explore different domains within data science. However, without formal assessment data for soft skills (e.g., teamwork, communication, problem-solving under pressure), a definitive operational fit cannot be fully determined. The experience level is listed as 0, which contradicts the 'Data Scientist' role at Symbiosis Institute of Technology, suggesting a potential internship or research assistant role rather than a full-time senior position. This discrepancy needs clarification.