Passionate Programmer, Python Developer, Creative Mindset, Thinker And Analyst, ML Enthusiast
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Dassault Systemes
R&D Software Engineer Specialist
June 18, 2026 – Present
CSharp-Practice-Codes
December 26, 2021 – December 26, 2021
This repository contains C# codes which were written while learning C# for Powerconfig Project.
View ProjectTravifyTranslator
November 8, 2021 – November 8, 2021
A Translator which Translates Source to Target Language.
View ProjectUThinkMLBackend
November 8, 2021 – November 8, 2021
Scrapping Wikipedia Article it Creates Summary and Series of Questions for Quiz.
View ProjectReddit-Flair-Detection
April 26, 2020 – November 21, 2022
Reddit-Flair-Detection — GitHub repository
View ProjectCars-Logo-Identifier
June 19, 2019 – June 19, 2019
Cars Logo Identifier is an Deep Learning Model based on Convolutional Neural Networks. This CNN model is trained over 20,778 50x50px RGB images depicting logotypes of 40 different car brands. This Dataset of 20,778 images was handpicked from loosely scraped websites by Kuba Siekierzyński and contains images, photos, drawings, sketches at various color schemes (black/white, RGB, CMYK, one-color), different angles and can sometimes contain some noise (other logotypes, background, etc.).
View ProjectChild-Malnutrition-Analysis
June 11, 2019 – June 30, 2019
This is a Machine Learning Model based on Support Vector Machines. Here, the Semi-Modified Dataset of Malnutrition in children by UNICEF is used. The SVM Machine Learning Model after training on the dataset classifies the Dataset into 4 classes Stunting, Wasting, Overweight and Underweight with an overall accuracy of 87%.
View ProjectTwitter-Sentiment-Analysis
June 11, 2019 – June 11, 2019
# Sentiment-Analyzer It is a Sentiment Analysis Model based on Twitter. The program basically takes as input the User ID of the Twitter Account and according to the tweets on the timeline of the following Twitter Account that the user have mentioned the program analyzes the tweets and return the Sentiments behind those tweets in the form of Positive, Negative and Neutral. Further a time-series graph and a Count plot is plotted through which we can analyze that whether the Account have got more negative tweets or more positive tweets.
View ProjectLoan-Data-Prediction
June 9, 2019 – June 9, 2019
Here, The Loan Dataset from LendingClub.com has been analyzed thoroughly. Lending Club connects people who need money (borrowers) with people who have money (investors). Several data analysis graphs are plotted for identifying various dependencies between the features of data. Finally we have tried to classify and predict whether or not the borrower paid back their loan in full. The classification is done through two different Decision Tree Classification and Random Forest Classification.
View ProjectCultural Fit Analysis
The candidate's projects are primarily in Machine Learning and Data Science, with some exposure to C++ and Python. The target role is 'Software Engineer Go specialist'. There is a significant mismatch between the candidate's demonstrated skills (ML, Python, C++) and the target role's primary requirement (Go). While the candidate has a diverse set of personal projects, their relevance to a Go specialist role is low. The experience at Dassault Systemes is noted, but no specific skills or responsibilities are listed to assess alignment.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are clear, but there is no direct evidence of collaboration, problem-solving approaches, or communication style in a team setting.