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CSE Ph. D. @ The Ohio State University
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The Ohio State Univeristy
Data Analyst
June 25, 2026 – Present
Mapping-IoT-Applications-on-the-Edge-to-Cloud-Continuum-with-a-Filter-Stream-Model
April 20, 2022 – April 20, 2022
Published in: 2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC)
View ProjectHiPC2021
November 29, 2021 – November 29, 2021
28th IEEE International Conference on High Performance Computing, Data, and Analytics
View ProjectA-Filter-Model-for-Optimization-on-Raspberry-Pi
April 2, 2019 – April 3, 2019
Filter model on KMeans, CNN, Face Landmark Detection and Conjugate Gradient Applications
View ProjectPower-Consumption-of-Raspberry-Pi
November 21, 2018 – November 27, 2018
Online Power measurement of Raspberry Pi 3
View ProjectSentiment-Analysis
October 23, 2017 – July 3, 2018
KNN classifier and Naive Bayes classifier
View ProjectOnline-Food-Ordering
August 1, 2015 – August 1, 2015
A complete program for purchasers to purchase food online
View ProjectCompiler-for-C--
July 30, 2015 – July 3, 2018
A whole realization of a compiler for C-like
View ProjectMIPS-Assemble-Line
May 25, 2015 – July 30, 2015
simulate the process of MIPS Assemble Line
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, ranging from sentiment analysis to compiler design and IoT applications, indicating a broad technical curiosity. However, many projects are academic or personal and do not clearly align with typical enterprise data analyst responsibilities beyond basic algorithmic implementation. The current role as 'Data Analyst' at 'The Ohio State University' is a positive indicator, but without details on responsibilities, it's hard to fully assess alignment. The breadth of technologies used (C++, Lua, Verilog, Vhdl, Assembly, Yacc, Lex, PHP, Smarty, JavaScript, CSS, Python) is extensive but might suggest a lack of deep specialization in core data analysis tools and platforms commonly used in industry.
Soft Skills & Operational Fit
The candidate's project history suggests an ability to work on complex, research-oriented tasks. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting. The project descriptions are concise but lack detail on personal contributions or challenges faced.