
Founding Engineer @picoxpress
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pico Xpress
Data Scientist
June 25, 2026 – Present
network-scrapper
November 2, 2024 – November 3, 2024
network-scrapper — GitHub repository
View ProjectDecentralisedCoupons
January 15, 2022 – February 6, 2022
DecentralisedCoupons — GitHub repository
View ProjectSPADE_algorithm
July 6, 2020 – July 7, 2020
This repository implements the SPADE algorithm by M.Zaki as an assignment for the Data Mining course of BITS Pilani Hyderabad Campus, June 2020
View Projectdata_mining
April 24, 2020 – April 25, 2020
Repository for the Data Mining(CS F415) research project in BITS Pilani, Hyderabad campus
View Projecttracker
May 30, 2019 – December 8, 2022
Back-end system for the tracking feature of SmartCampus
View ProjectComp-Arch-assignment
March 30, 2019 – April 22, 2019
Solution to the assignments of the Computer Architecture course of BITS Pilani Hyderabad Campus
View ProjectFPGA-Lab
February 18, 2019 – February 18, 2019
Solutions to lab assignments of FPGA lab in BITS Pilani, Hyderabad Campus
View ProjectNNFL-Assignment
December 6, 2018 – December 21, 2018
Assignment for the 'Neural Networks and Fuzzy Logic' course of BITS Hyderabad. Course code - BITS F312
View Projectpac-man-bot
November 5, 2018 – November 13, 2018
Pac man playing bot. Artificial Intelligence course project, BITS Pilani-Hyderabad Campus.
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic assignments, indicating a foundational understanding of various technical areas. The diversity of projects (data mining, OS, computer architecture, networking, blockchain, AI) suggests a broad technical curiosity. However, the depth of engagement and collaborative aspects are not evident from the descriptions. The current role as 'Data Scientist' aligns with the target role, but the experience level is 0, suggesting this is a very recent or upcoming role. The projects are all personal/academic, which is typical for an entry-level candidate.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.