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Data Engineering at TVS Credit Services Limited
Data Scientist
June 12, 2026 – Present
Accident-Detection-and-Signal-Regulation-System-using-deep-learning
March 17, 2024 – August 25, 2024
Accurate accident detection and efficient traffic control are crucial for improving road safety. Deep learning techniques have demonstrated remarkable potential in this domain. This repository focuses on utilizing deep learning models to detect accidents and control traffic, leveraging large-scale datasets for training and optimization.
View ProjectREDACTION_SYSTEM_ASAPP_HACKATHON
September 21, 2023 – September 21, 2023
The Redaction System is a software tool designed to automatically identify and redact sensitive information. This system is useful for maintaining privacy and compliance with data protection regulations.
View ProjectEFFECTIVE-PREDICTION-OF-PARKINSON-DISEASE-USING-ML
July 6, 2023 – July 6, 2023
Effective Prediction of Parkinson Disease using ML predicts the Parkinson’s Disease with the help of Ensemble Machine Learning Algorithm, Hyperparameter Tuning and Feature Selection. Accuracy of 94.87% was achieved with the help of the developed Ensemble Machine Learning Algorithm, whereas a maximum accuracy of 92.8% was achieved by traditional ML.
View ProjectSECURITY-PACKAGE
May 6, 2023 – May 6, 2023
Security Package is a package that includes several security modules - Ciphers, Image Encryption and Decryption, Audio Encryption and Decryption, Steganography, Background Removal, OTP Generation and Authentication.
View ProjectNUMBER-PLATE-DETECTION-SYSTEM
May 3, 2023 – May 5, 2023
Number Plate Detection System extracts and prints the alphanumeric characters of the license plates. Image Processing and Pattern Recognition algorithms were used to extract the text from license plates.
View ProjectCAR-RENTAL-SYSTEM
May 2, 2023 – December 15, 2023
Car Rental System is a website that helps to create user, rent a car by the customers for a period of time and to add, delete, edit a car by the admin. All the details are stored in the database for future use.
View ProjectSTROKE-DISEASE-PREDICTION
May 2, 2023 – May 2, 2023
Stroke Disease Prediction classifies a person with Stroke Disease and a healthy person based on the input dataset. This package can be imported into any application for adding security features. Input data is preprocessed and is given to over 7 models, where a maximum accuracy of 99.4% is achieved.
View ProjectINVENTORY-MANAGEMENT-SYSTEM-IN-JAVA
November 26, 2021 – August 20, 2022
This system as the name implies manages an inventory. The system allows the user to add new products and delete them, update stocks, sell products and other necessary functionalities. The system also manages the customer details, dues and also prints receipt for orders. User authentication is implemented.
View ProjectVOTING-SYSTEM-USING-PYTHON
September 8, 2021 – May 2, 2023
With our voting system, every voter is guaranteed an accessible and secure voting method, This program allows the user to login and vote. Each voter have their own username and password. The admins can conduct elections, authenticate voters and display results in a graphical representation.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with the target role of Data Scientist. The diversity of projects, from medical predictions to security systems and traffic control, suggests a broad interest in applying data science across different domains. However, the experience level is listed as 0, and the only listed experience is a current role starting in the future (2026), which makes it difficult to assess real-world team collaboration or professional work ethic. The projects are all personal, which is common for entry-level candidates but provides limited insight into collaborative work environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on problem-solving and practical application of technical skills. However, without psychometric test results or interview data, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.