Software Engineer | Machine learning and Deep learning enthusiast | API Automation | Selenium Webdriver | Data Analysis | Python | Java | Rest Assured | Cucumbe
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Betsol
Data Scientist
June 17, 2026 – Present
Vectorless-RAG-Project
April 21, 2026 – Present
Vectorless-RAG-Project — GitHub repository
View ProjectGraph-Vector-RAG-Project
October 29, 2025 – Present
Graph-Vector-RAG-Project — GitHub repository
View ProjectDeep_Audio_Classifier_Convolutinal_NN
June 21, 2023 – July 13, 2023
Deep_Audio_Classifier_Convolutinal_NN — GitHub repository
View ProjectNetflix-Movies-And-TV-Shows-Clustering-UnSupervised-ML
February 9, 2023 – February 10, 2023
Netflix-Movies-And-TV-Shows-Clustering-UnSupervised-ML — GitHub repository
View ProjectCoronavirus-Tweet-Sentiment-Analysis
January 26, 2023 – February 9, 2023
Coronavirus-Tweet-Sentiment-Analysis — GitHub repository
View ProjectRetail-Shop-Sales-Prediction-Regression
January 24, 2023 – February 6, 2023
Retail-Shop-Sales-Prediction-Regression — GitHub repository
View ProjectAirflow_Twitter_AWS_Project
October 23, 2022 – October 23, 2022
Airflow_Twitter_AWS_Project — GitHub repository
View ProjectLinear_Reg_From_Scratch
August 29, 2022 – August 29, 2022
Linear_Reg_From_Scratch — GitHub repository
View ProjectDigitRecog_MNIST
May 21, 2021 – May 21, 2021
In this project I have practiced Multinomial Logistic Regression on famous MNIST dataset.
View ProjectVirtualPainting_using_OpenCV_with_Python
December 22, 2020 – May 18, 2021
Experience based on Machine Learning. Given the real time webcam data, this paint-like python application uses OpenCV library to track an object-of-interest and allows the user to draw by moving the object. Project Paper published by International Journal of Scientific Research in Science and Technology Manuscript for Virtual Painting using OpenCV with Python.<br > Paper Link: http://ijsrst.com/IJSRST205831
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in Data Science, which aligns with a proactive and self-driven culture. However, the lack of team-based projects or professional experience details makes it difficult to fully assess collaboration and broader cultural fit. The single listed professional experience is current but lacks details on responsibilities or achievements.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.