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Machine Learning Engineer
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med-bert
November 24, 2023 – December 3, 2023
An NER model based on bert to identify medical terms from a given text
View Projectsynthesis-vision
June 25, 2023 – November 30, 2023
SynthesisVision is a multimodal image retrieval system that integrates computer vision and natural language processing (NLP) techniques. The objective is to bridge the gap between visual and textual domains, enabling enhanced image searches.
View Projecttiny-nn
May 1, 2023 – June 14, 2023
Tiny-NN is a lightweight neural network library built entirely in NumPy, designed to help developers understand the nitty-gritty details of neural networks. With its clean and concise code, Tiny-NN offers a great learning platform for those who want to deepen their understanding of the inner workings of neural networks.
View Projectproperty-recommendation-system
January 23, 2023 – January 23, 2023
property-recommendation-system — GitHub repository
View ProjectWNS-analytics-wizard-2019-prediction-of-advertisement-impressions
September 8, 2019 – September 8, 2019
Prediction of advertisement impression by a user on a partner website. It is an imbalanced data and for our model 0.62 was best roc score using XGBoost classifier.
View ProjectLife-Cycle-Prediction-Of-pierce-Punch
June 11, 2019 – June 11, 2019
This project predicts the life span of a pierce punch used in mechanical manufacturing by using ANN and XGBoost.
View ProjectReal-time-Twitter-Sentiment-Analysis
December 26, 2018 – December 26, 2018
This project retrieves tweets in real time based on the supplied search term and calculates the sentiment and generates a pie chart. The sentiment is classified as 3 different categories namely positive,negative and neutral.
View ProjectLoan-Status-Prediction
December 26, 2018 – December 26, 2018
This project predicts whether the loan gets approved or not for a person based on his information
View ProjectBitcoin-live-analytics
August 21, 2018 – December 26, 2018
This project contains the applications of several machine learning techniques like regression, sentiment analysis etc.
View ProjectCultural Fit Analysis
The candidate's projects are all personal and demonstrate a strong interest in data science and machine learning. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects show a breadth of interest but lack depth in any specific domain, which might indicate a learning-oriented individual but also a potential need for more focused development in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.