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ANFIS-Diabetes-Predictor
October 26, 2021 – November 27, 2021
ANFIS(Adaptive Network-based Fuzzy Inference System) Model for predicting Diabetes
View ProjectExercise-Tracker
September 16, 2021 – September 16, 2021
Exercise-Tracker — GitHub repository
View Projectl2-automation-portal
June 16, 2021 – September 28, 2021
l2-automation-portal — GitHub repository
View ProjectDynamic-Programming
January 3, 2021 – April 21, 2021
Dynamic-Programming — GitHub repository
View ProjectAutonomous-Path-Mapping-Robot
July 30, 2020 – November 27, 2021
Made a robot to solve the problem statement of Pixelate 20', Technex, Technical Fest of IIT (BHU) Varansi.
View ProjectIntro-to-ML-by-Andrew-Ng-in-Coursera
July 8, 2020 – July 8, 2020
This is what I learned in this first ML Course I did in the coursera. It is one of the best course for beginners. There were many assignments which helped in grasping the theory.
View ProjectFault-Detection-in-Power-Microgrid
July 8, 2020 – July 18, 2020
This project presents the concept of fault detection and location in a Power Microgrid making use of the machine learning concepts like Artificial Neural Network. The electronic equipment used in microgrids is in essential need of more secure protection against short circuit faults. Due to the high current at the time of fault occurrence, the whole system might be de-energized which would have a severely negative impact on the entire system. A fault occurs when two or more conductors come in contact with each other or ground. Ground faults are considered as one of the main problems in power systems and account for more than 80% of all faults. An effective method to detect, isolate, and protect the power microgrid system against the effects of short circuit faults is extremely important. In this project we worked on a highly effective new method to protect the microgrid system using an Artificial Neural Network (ANN) that will detect and find the location of the fault before it affects
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in Machine Learning and Data Science, which aligns with a proactive and self-driven culture. The diversity of projects, from ML models to robotics and web development, indicates a broad interest in technology. However, the lack of professional experience or team projects makes it difficult to fully assess collaboration and cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.