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Customer-Attrition-Analysis
January 15, 2024 – January 15, 2024
Customer Attrition, when customers cease business, impacts revenue. Identify at-risk segments and implement retention strategies. Use data and machine learning to predict potential exits, enabling proactive measures for customer retention. Crucial for sustaining business success.
View ProjectPredictive-and-failure-detection-of-mechanical-shaft-using-Machine-Learning.
November 29, 2023 – November 29, 2023
Designing a system to detect faults in a rotating shaft connected to a motor using machine learning. The project aims to study shaft vibrations at high speed, create a ML algorithm for fault detection, and enable timely acknowledgment, predictive maintenance, increased machine life, and improved repair time and product quality.
View ProjectCar-Crash-Analysis-using-LS-Dyna.
November 29, 2023 – November 29, 2023
The LS-Dyna Dynamic Car Crash Analysis project simulates real-world collisions, employing advanced material models for accurate structural response. Integrating occupant safety analysis and parametric studies, it optimizes vehicle design for enhanced crashworthiness, ensuring safety advancements in automotive engineering.
View ProjectDroomSalesAnalysisSQL-
October 3, 2023 – October 3, 2023
Droom Sales Analysis SQL project: Extract, clean, and analyze sales data for insights into revenue, customer behavior, and market trends. Inform data-driven decisions.
View ProjectDesign-of-Quadruped-robot-using-Theo-Jansen-Mechanism.
October 1, 2023 – October 1, 2023
Quadruped Robot is a four-legged walking robot which is a bionic replica of spider (Arachnid species) that uses their legs for movement and can perform tasks either by human interaction . Legged robots are a type of mobile robot which use mechanical arm for movement. These robots are more versatile than wheeled robots.
View ProjectMachine-Learning-Internship-Projects
June 21, 2023 – June 23, 2023
This are the 10 Machine Learning project's which i have done during my summer'23 datascience internship
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong interest in data science and machine learning, aligning with a Data Scientist role. However, the projects are primarily personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit. The diversity of projects (from mechanical engineering simulations to customer attrition analysis) suggests a broad curiosity, but also a potential lack of deep specialization in core data science areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.