Data Scientist. Excellent knowledge of Machine Learning, Deep Learning, Computer Vision, NLP, Spark, AWS
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Honeywell
Data Scientist
June 16, 2026 – Present
Tweet-Generator-using-LangGraph-Agents
February 8, 2025 – February 8, 2025
Tweet-Generator-using-LangGraph-Agents — GitHub repository
View ProjectChatbot-for-Arxiv-research-papers
May 23, 2024 – May 25, 2024
Chatbot-for-Arxiv-research-papers — GitHub repository
View ProjectForecasting-demand-for-multiple-products-using-Prophet-and-LSTM
July 30, 2020 – July 30, 2020
Forecasting demand using Prophet and LSTM
View ProjectExtracting-information-from-PDF-files-using-OCR-and-NLP
July 22, 2020 – July 22, 2020
Extracting relevant information like invoice number, date, amount etc. from PDF files using OCR and NLP techniques
View ProjectFinding-similar-geological-images-using-Convolutional-Neural-Networks
March 9, 2020 – April 16, 2020
A geology research company wants to create a tool for identifying interesting patterns in their imagery data. They will provide an image of interest and the ML model should return the top "N" similar images
View ProjectBagging-Boosting-and-Stacking-using-R
April 3, 2018 – April 3, 2018
Bagging, Boosting and Stacking models using the "caret" package in R
View ProjectKNN-to-classify-fruits
October 19, 2017 – October 19, 2017
In this mini-project we will compare the results using KNN classification directly versus using the Caret package
View ProjectLoan-prediction-using-the-Caret-package
September 15, 2017 – September 15, 2017
This project aims at predicting the customers likely to default on a Loan
View ProjectComparing-the-different-types-of-Regression
August 31, 2017 – August 31, 2017
Comparing the different types of Regression
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with the target role. However, the projects are predominantly personal and academic, with limited information on collaborative or production-oriented work. The single listed professional experience as 'Data Scientist' at Honeywell is current but lacks details on responsibilities or achievements, making it difficult to fully assess cultural fit and real-world application experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.