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KCG'24 - AI & DS. Passionate about software development. Skilled in building web applications and familiar with various frameworks and libraries.
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Student at KCG college of technology
Data Scientist
June 19, 2026 – Present
Rider-Re-route-Suggestions-Using-Demand-Forecasting-Based-On-Passenger-s-Routes
November 21, 2023 – November 21, 2023
Rider-Re-route-Suggestions-Using-Demand-Forecasting-Based-On-Passenger-s-Routes — GitHub repository
View ProjectMonitoring-Human-Movements-and-Automated-Alert-System-for-Suspicious-Behaviour-using-LSTM-Model
June 1, 2023 – July 13, 2023
A System for alerting and sending message to the caretaker if a human fall is detected. This system works with LSTM model.
View ProjectAutomated-Weather-Classification-Using-Transfer-Learning
May 21, 2023 – July 5, 2023
The system in this research uses transfer learning to categorise the many forms of weather. These weather conditions are primarily divided into 5 groups: cloudy, sunny, rainy, foggy, and sunrise. High-performance classifiers in artificial intelligence (AI) mostly use deep-learning (DL) techniques.
View ProjectDiabetes-Prediction-using-Logistic-Regression
March 14, 2023 – March 14, 2023
This project objective is to predict the type 2 diabetes, based on the dataset.
View ProjectDigit-Recognition-Using-ML-
March 14, 2023 – March 14, 2023
Digit recognition using neural networks(CNN classification technique)
View ProjectSpectacles-recommendation-system-based-on-faceshape
March 14, 2023 – March 14, 2023
The system integrates CNN model techniques which helps to classify human face shape. Provides features such as extraction of face shape from the face dataset and analyzes the suitable frame for their face shape. After the process of classifying face shape, the system will automatically recommend suitable frames.
View ProjectFake-News-Detection-
June 13, 2022 – June 13, 2022
Fake-News-Detection- — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with a Data Scientist role. However, the projects are all personal and lack real-world team collaboration or industry context, which limits the assessment of cultural fit in a professional setting. The breadth of skills is focused on ML/DL, but lacks diversity in deployment, MLOps, or advanced data engineering aspects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is limited to personal projects and a student role.