Detail-focused data analyst with knowledge in data profiling, data ETL pipeline, data warehousing, text-based Natural Language Processing (NLP), Machine Learning, and programming. Proven track record in applying cutting-edge technologies to solve data-driven problems and performing tasks independently and in a teamed-up environment at the industry level and academia.
Hi, I’m
Zelalem Abate
Toronto,ON
Summary
Overview
8
years of professional experience
Work History
City of Toronto, Elections
Data and Application Support Specialist
09.2021 - 07.2023
Job overview
- Built and maintained data collection, storage, and web-based visualizer pipeline using python.
- Developed Geospatial data layers across the city of Toronto using Tableau and analyzed different variables on it that have a direct or indirect impact on voter turnout.
- Designed and implemented a Python-based system for seamless field technician tracking and dispatch, significantly enhancing operational efficiency during election day.
- Employed data analysis tools to process and interpret the collected data, generating insightful visual reports that facilitated real-time monitoring and analysis of voting activities. .
- Demonstrated proficiency in post-election analysis by producing comprehensive statistical and visual reports that offered valuable insights into the election results, contributing to informed decision-making processes.
Pitch Better
Research Data Analyst
01.2021 - 05.2021
Job overview
- Gathered requirements from clients and stakeholders to identify tools and methodologies to achieve the objective of the project.
- Designed and administered online surveys using Qualtrics platform to collect data from diverse populations.
- Processed, cleaned, analyzed and interpreted survey data to draw insights and make recommendations to the research team.
- Created custom reports and visualizations to present survey findings in a clear and concise manner for both technical and non-technical audiences.
- Utilized data mining techniques and analyzed social media behavior of the target group to provide essential information to the marketing team.
- Collaborated with the research team to ensure the cohesive final report.
iCog-Labs
Natural Language Processing Engineer
09.2015 - 03.2021
Job overview
- Designed an AI-based predictive system for Hershey's, which analyzes a collection of historical textual datasets to forecast future market trends.
- Worked as part of SingularityNET (decentralized AI online service) development team to produce Named Entity Disambiguation, Language Detection, and Coreference Detection services.
- Developed Information Extraction system from Biomedical literature for MOZI-AI (analytics engine for pharmaceutical scientists to analyze their data in relation to public biomedical databases)
- Implemented an automated Name Entity Recognition using Conditional Random Field for BuildDirect that enhanced product identification from real-time chat conversations to improve customer service experience.
Education
York UniversityToronto, ON
Certificate from Big Data
02.2021
University Overview
Addis Ababa UniversityAddis Ababa, Ethiopia
Master of Science from Computational Linguistics
07.2013
University Overview
Addis Ababa University Addis Ababa, Ethiopia
Bachelor of Science from Information Systems
07.2011
University Overview
Skills
- Python
- Natural Language Processing
- SQL
- Machine Learning
- Qualtrics
- Tableau
- Power BI
- Data Mining
- SSIS
- Azure Data Factory
Timeline
Data and Application Support Specialist
City of Toronto, Elections
09.2021 - 07.2023
Research Data Analyst
Pitch Better
01.2021 - 05.2021
Natural Language Processing Engineer
iCog-Labs
09.2015 - 03.2021
York University
Certificate from Big Data
Addis Ababa University
Master of Science from Computational Linguistics
Addis Ababa University
Bachelor of Science from Information Systems
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