Grad Student at Santa Clara University | Computer Science | Data Science Enthusiast | Machine Learning Beginner | First Love : Java
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Asimily
Data Scientist
June 27, 2026 – Present
Fake_Data_Generator
October 5, 2019 – October 5, 2019
A fake but authentic data generator tool, mostly used for creating test data. (Design in Progress)
View ProjectDetection-Of-Parkinson-s-Disesase-Using-Voice-Impairments-With-ML-and-LSTM
April 1, 2019 – April 1, 2019
Several studies have been carried out to analyse Parkinson’s disease using speech impairments. Various tools and techniques have been used on speech signals to accurately predict Parkinson’s in an individual. In this paper, we have proposed to use various Machine Learning techniques to compare results and predict PD. We have found that Deep Learning gives extremely accurate results over tremor data of individuals (both healthy and PD patients). So, we not only run various Machine Learning techniques that have been used for speech processing, we also run a Deep Learning model on speech data since it produced better results over tremor data that is analogically similar to speech data.
View ProjectWorkbench_IMDB
March 21, 2019 – March 22, 2019
A complete user-friendly workbench with UI in Java Swing for selection of particular Movie depending on various genres, countries, actors/actress, director. Even additional functionalities like searching the movie on the basis of tags and ratings.
View ProjectData-Stream-Mining-With-DGIM-Algorithm
February 10, 2019 – February 10, 2019
Data Stream Mining is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using limited computing and storage capabilities. This application reads the stream data of any server receiving the packets and summarises the data with error rate with at most 49%.
View ProjectAnomaly-Detection-Using-Isolation-Forest
February 10, 2019 – February 10, 2019
A Data Mining project to detect the anomalies in huge set of data. Applications: 1) To detect the anomaly signature of any intrusions in system to improve the Intrusion Detection System. 2) To find and ignore the anomalies in data recorded medical devices to detect Parkinson's disease. And many more applications where anomaly detection is applicable and plays a crucial role.
View ProjectRecurssion-Explained-Crystal
October 27, 2018 – October 28, 2018
It is a set of programs in java which will help to learn and practise the concepts of recursion and recursive programming.
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on data science and machine learning, aligning well with a Data Scientist role. The diversity of projects (ML for medical diagnosis, anomaly detection, data stream mining) indicates a broad interest within the data science domain. However, the candidate's experience level is listed as 0, despite having a current Data Scientist role starting in 2026, which is a discrepancy. The projects are all personal, which is common for an entry-level candidate, but limits insight into team collaboration or industry best practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available, and project descriptions do not provide insight into collaboration or problem-solving approaches.