Blessy Jeba Pushpam B
Data ScientistChennaiMember since June 12, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DashEye-Ticketing-System-AI-Based-Dashcam-for-Traffic-Violation-Detection
June 6, 2026 – Present
Developed an intelligent, edge-based dashcam system designed for real-time automated traffic violation monitoring and evidence logging.
View ProjectFPGA_Image_processing_SOM
February 13, 2026 – Present
Multi layer CNN in KRIA KV260 FPGA core and hardware acceleration using ARM cortex M7
View Projectevent-driven-cnn-FPGA
January 19, 2026 – Present
Event-Driven Sparse CNN Accelerator on Zynq FPGA
View ProjectWalkie-Talkie
December 30, 2025 – Present
Loss of communication due to invisible line of sight in dense canopy and other terrains and lack of automatic fallback system in modes of communication
View ProjectVerilog-Based-RAM-and-ROM-Memory-Design
January 17, 2025 – January 18, 2025
This project implements basic RAM and ROM memory modules using Verilog. It includes the simulation and verification of memory read and write operations for RAM and the preloaded data functionality for ROM.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on hardware design, embedded systems, and low-level CNN implementations. While these areas can intersect with data science, the primary target role of 'Data Scientist' typically emphasizes statistical modeling, machine learning algorithms, data analysis, and deployment on more conventional software platforms. The current project diversity leans more towards hardware engineering or embedded AI than a broad data science profile. The lack of experience or education details makes it difficult to assess alignment with typical data science team environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily technical and personal, offering no insight into collaboration, communication, or problem-solving in a team context.