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Applied Machine learning professional | Chatbot developer | open source aficionado
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engagely
Data Scientist
June 16, 2026 – Present
Twilight
October 29, 2020 – November 1, 2021
Twilight is a python package to work with text data efficiently. It's a no-code tool to quickly understand any text-based document and it provides an intuitive UI to explore insights from text.
View ProjectForex-Chatbot
March 25, 2020 – March 26, 2020
A simple forex order chatbot built using Rasa stak capable of getting current currency exchange rates and trade orders
View ProjectTwitter-NLP-projects
December 16, 2017 – December 14, 2017
Natural language processing, text mining and classification with twitter
View ProjectLoan-Prediction-3
March 27, 2017 – July 9, 2017
Contains code for Loan prediction 3 Hackathons held on Analytics Vidya
View ProjectCultural Fit Analysis
The candidate's projects show an interest in practical applications of data science, particularly in NLP and predictive modeling. The personal projects indicate a self-starter attitude. However, the diversity of projects is somewhat limited to NLP and basic prediction, and the experience level is very low (0 years according to profile, though a current role is listed). This suggests a potential fit for a junior or entry-level Data Scientist role, but more data is needed for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.