Hello, I'm Reyhaneh

I'm a Data Scientist

About

Get to know me

I am a Ph.D. candidate in Computer Science at Syracuse University. My research interests are 1) Social networks analysis 2) Deep Learning 3) Designing algorithms and Data Mining. I am currently working on ‘Noise-Enhanced Graph Algorithms’ and aim to answer the question ‘How noise can improve the performance of graph algorithms?'. In my research, I proposed a new noise-enhanced method to improve the performance of community detection algorithms. I also improved the unsupervised link prediction methods by injecting noise. Moreover, I am working on graph algorithms with Generative Adversarial Networks (GANs). I have also worked on big networks’ algorithms such as connected components in my master thesis. I am interested in analyzing data and extracting patterns. I like programming with different languages and teaching with the experience of being a TA of graduate and undergraduate computer science courses. 
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Research

Community Detection

Community Detection

Connected Components

Connected Components

Link Prediction

Link Prediction

Education

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B.Sc. Computer Software Engineering

May 2012

Iran University of Science and Technology

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M.Sc. Computer Software Engineering

March 2015

Iran University of Science and Technology

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Ph.D. Student Computer Science

2017-July 2022 (expected)

Syracuse University

Publication

  • Noise-Enhanced Community Detection
    Reyhaneh Abdolazimi, Shengmin Jin, Reza Zafarani "
    HT ’20: Proceedings of the 31st ACM Conference on Hypertext and Social Media. HT 2020."

Skills

Programming

Python90%
Java80%
C70%
Matlab60%
Shell Scripting70%

Platforms & Tools

Apache Hadoop90%
MapR80%
Cloudera Manager80%
Weka60%

Database

MySQL80%
Neo4j70%
MongoDB70%

Experience

1

Simiagaran Company

Data Scientist Intern- Tehran, Iran
Big data assessment in Mellat Bank: Investigated Big Data infrastructure, run a big data test platform in data management unit using Cloudera Manager, 2015
2

Miras Startup

IData Analyst Intern - Tehran, Iran
Diagnosis of the role of people on Precious Metals prices: Analyzed comments on social media about people’s prediction about metals’ prices and their real price changes using Python, 2015.
3

Mobin Company

Data Scientist Intern - Tehran, Iran
Big Data Clustering: Clustered a large number of newspapers in a distributed manner using Mahout, Apache Hadoop, Cloudera, and MapR, 2013.

Awards

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Ranked top 0.34% in National University Entrance Exam among nearly 295,000 participants

2008
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Outstanding Student Scholarship from Iran University of Science and Technology

2012
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HT Best paper nominated

2020

Hobbies & Interests

Psychology

Psychology

Problem Solving

Problem Solving

Workout

Workout

Hangout

Hangout

Cooking

Cooking

Testimonials

‘ What I love most about Reyhaneh, is her inspiration power that she offers to herself and to other people also. As her fellow major, I always admire her positive mentality for hardworking, problem solving, self educationg and success. ’
‘ As her teammate, I’ve benefitted from her creative mind, tireless work ethic, and motivation to do whatever it takes to achieve the team goals. Her critical thinking and data analysis abilities allow her to perform exceedingly well under strict deadlines. ’
‘ Reyhaneh and I were classmates throughout our Bachelor's. As a friend and a peer, I can say that Reyhaneh is a smart and hardworking individual. Reyhaneh's personal traits, such as delivering on time and accurately, make her a great teammate as well. She is also super kind, caring, and respectful. ’
‘ Reyhaneh is a passionate worker with great communication skills. She and I completed a research paper on Generative Adversarial Networks and she was wonderful to work with. Not only did she take the lead in the research, she was excited about it every step of the way. She is, without a doubt, someone that I’d want working in my office or on my team. ’

CONNECT

+3154399999
Mobile
rabdolaz@data.syr.edu
Email
Syracuse, NY
Address
I like to hear from you!
Copyright ©, Reyhaneh Abdolazimi 2021

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