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Texas Instruments
Data Scientist
June 20, 2026 – Present
NotesTaker
October 7, 2023 – November 26, 2023
REST API for taking notes based on microservices architecture.
View ProjectNotesTaker-API
August 24, 2023 – November 26, 2023
REST API using spring boot for writing notes based on monolithic architecture.
View ProjectBuySellConnect
July 11, 2023 – November 26, 2023
Web application to buy and sell products.
View ProjectMy-Blog-Space
May 31, 2023 – August 28, 2023
Web application to write blogs related to various topics
View ProjectChat-Room
December 10, 2022 – September 2, 2023
Chat Room application using Socket Programming and Multithreading in C with end-to-end encryption.
View ProjectChat-Application
December 10, 2022 – July 11, 2023
**Work in Progress** Chat application between clients using Socket Programming and Multi-threading in C with end-to-end encryption.
View ProjectImplementation-of-Data-Compression-Algorithms
December 8, 2022 – March 15, 2023
Encode and decode binary message bits using text file of size 1KB using different techniques and compare their results.
View ProjectBiomedical-Image-Processing
December 8, 2022 – December 11, 2022
Segmentation of Brain tumor from noisy images using various Filters and Segmentation algorithms using Matlab.
View ProjectCultural Fit Analysis
The candidate's projects are diverse in technology and application (web apps, network programming, image processing, data compression), suggesting a broad interest in different technical areas. However, the projects are all personal and lack details on team collaboration or real-world impact. The target role is 'Data Scientist', and while some projects (e.g., 'Biomedical-Image-Processing', 'Implementation-of-Data-Compression-Algorithms') are relevant, the majority are general software development. The current role as 'Data Scientist' at Texas Instruments aligns well, but without details on responsibilities, it's hard to gauge the depth of experience in a professional data science setting. The overall fit is moderate, leaning towards needing more specific data science experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Project descriptions are brief and do not provide insights into collaboration, problem-solving approaches, or communication style.