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Machine Learning Engineer @ Infocusp Innovations LLP
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Infocusp Innovations LLP
Data Scientist
June 21, 2026 – Present
Fake_News_Detection_Deep_Learnng
April 2, 2022 – April 11, 2022
This repository will contain a research article implementation of fake news detection
View ProjectSorting_Algorithm_Comparison
August 31, 2021 – January 11, 2022
The repository contains comparison between Insertion sort, Selection sort, Bubble sort, and Quick sort for input data size n = 10000, 20000, 50000, 100000. The input are all non-negative integers. Four separate code files contains four different algorithm implementation.
View ProjectSuboptimal_NOMA_5G
December 4, 2018 – January 25, 2022
The repository contains a research article implementation(reproduced results), in which the authors have proposed a sub optimal scheme for NOMA up-link transmission multiple access in 5G systems.
View ProjectLane_level_navigation
June 7, 2018 – February 23, 2022
The project is build to navigate the user the lane in which he/she currently is.
View ProjectCultural Fit Analysis
The candidate's projects show a mix of academic/research-oriented work (NOMA, Fake News Detection) and foundational programming (Sorting Algorithms, JavaScript learning). This indicates a learning-oriented individual. The current role as a Data Scientist aligns with the target role, suggesting a good fit for a data-driven environment. However, the breadth of technologies used is somewhat limited, and project descriptions are brief, making it hard to fully assess collaborative potential or initiative beyond personal learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.