Machine Learning/Deep Learning Enthusiastic. Learning how the machine learns. Interested in End to End development of ML/DL models.
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Data Scientist at Inxiteout Pvt Ltd
Data Scientist
June 16, 2026 – Present
Plotify-NLQ
February 9, 2024 – March 12, 2024
This repository contains code for a Streamlit web application that allows users to generate charts from natural language queries (NLQ) using a Language Model (LLM). The application provides an intuitive interface where users can upload their data, input NLQ queries, and instantly visualize their insights in the form of interactive charts.
View ProjectImage-super-resolution
January 10, 2021 – February 5, 2021
Implementation of image super-resolution using EDSR and WDSR on DIV2k Dataset
View ProjectProduct_Recommendation
January 7, 2021 – January 8, 2021
This is product recommendation project like amazon or flipkart
View ProjectStack-overflow-semantic-search-engine
October 14, 2020 – April 21, 2023
stackoverflow seach engine which gives most similar results based on semantic similarity
View ProjectApplied-ML-Coursera
June 19, 2020 – January 27, 2021
Applied Machine learning course from Coursera
View ProjectFull_stack_nanodegree_udacity
June 1, 2020 – September 3, 2021
This repository contains projects which is given by Udacity Full stack nano degree course
View ProjectE_commerce_classification
April 13, 2020 – April 27, 2020
Classify gender(target) male or female based on product viewed list
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, demonstrating initiative and a passion for learning. However, the lack of team-based or collaborative project descriptions makes it difficult to assess cultural fit beyond individual drive. The experience level is listed as 0, despite a current role as 'Data Scientist', which creates an inconsistency. The projects are diverse within the data science domain, but there's no clear indication of contributions to open-source or community involvement.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, which does not allow for evaluation.