Azika Amelia
Business Data Analyst at MOQO- Claim this Profile
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English Native or bilingual proficiency
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Urdu Native or bilingual proficiency
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German Limited working proficiency
Topline Score
Bio
Credentials
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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraOct, 2019- Nov, 2024 -
Structuring Machine Learning Projects
CourseraOct, 2019- Nov, 2024 -
Neural Networks and Deep Learning
CourseraSep, 2019- Nov, 2024
Experience
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MOQO
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Germany
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IT Services and IT Consulting
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1 - 100 Employee
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Business Data Analyst
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Jul 2021 - Present
Build dashboards to empower teams across the organization to make data-driven decisions Perform data analysis from start to finish and communicate key insights to stakeholders Contribute to the decision-making process by recommending strategic solutions Gather and translate business requirements into technical solutions Optimize existing SQL queries to enhance the performance and upscale existing solutions Develop and maintain performance alert system Build dashboards to empower teams across the organization to make data-driven decisions Perform data analysis from start to finish and communicate key insights to stakeholders Contribute to the decision-making process by recommending strategic solutions Gather and translate business requirements into technical solutions Optimize existing SQL queries to enhance the performance and upscale existing solutions Develop and maintain performance alert system
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TechLabs Aachen e.V.
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Germany
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E-Learning Providers
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Data Science Mentor
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May 2022 - Present
TechLabs is a learning platform for young people of all disciplines where they can learn to code. I volunteered as a Data Science mentor at the Digital Shaper Program, where students undertake a technical project over the course of 6 months. As a mentor, I coached my team of three students to get their project from idea & vision to execution and wrap-up. I also assessed the scope and the feasibility of the project and provided technical guidance through their journey. My team developed a "Toxic Comment Filter Bot" which filtered out negative comments on social platforms. It was a supervised, multilabel classification problem, and LSTM was used to classify users' comments into different categories. At the end of the term, my team won "the best project" title, among 16 groups altogether. 🏆 Show less
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Jazz
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Pakistan
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Telecommunications
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700 & Above Employee
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Data Scientist
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Jun 2020 - Oct 2020
Created Data Science Models for Customer Segmentation Performed extensive Feature Engineering to predict Quality of Sales with 97% accuracy Developed complex data queries in Teradata-SQL for feature Engineering and Data Preprocessing Created Data Science Models for Customer Segmentation Performed extensive Feature Engineering to predict Quality of Sales with 97% accuracy Developed complex data queries in Teradata-SQL for feature Engineering and Data Preprocessing
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Funavry Technologies
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Pakistan
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IT Services and IT Consulting
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1 - 100 Employee
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Data Science Engineer
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Nov 2019 - Feb 2020
Singlehandedly built a chatbot from scratch while meeting strict deadlines Trained NLP models using Transfer learning for efficient training and fast delivery Gathered quality training data with high variation for better generalization Extensively customized open-source libraries and framework to meet the clients’ requirements Singlehandedly built a chatbot from scratch while meeting strict deadlines Trained NLP models using Transfer learning for efficient training and fast delivery Gathered quality training data with high variation for better generalization Extensively customized open-source libraries and framework to meet the clients’ requirements
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CareCloud
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Data Scientist
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Jul 2018 - Nov 2019
Automated 25% of the company’s entire query resolution workload Built an Entity Extractor with 98% accuracy Utilized Python Pandas and optimized scripts to reduce the execution time by 99% Wrote SQL scripts to fetch and preprocess large datasets Built a chatbot for medical appointment scheduling, drastically reducing the number of no-shows Built a recommendation system for international diagnosis code Automated 25% of the company’s entire query resolution workload Built an Entity Extractor with 98% accuracy Utilized Python Pandas and optimized scripts to reduce the execution time by 99% Wrote SQL scripts to fetch and preprocess large datasets Built a chatbot for medical appointment scheduling, drastically reducing the number of no-shows Built a recommendation system for international diagnosis code
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xFlow Research Inc.
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United States
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Computer Networking
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1 - 100 Employee
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Intern
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Jun 2017 - Aug 2017
Developed and Managed Clouds using OpenStack Configured Server Management using Ansible and Dockers Deployed skills for Alexa on Amazon Echo Dot Developed and Managed Clouds using OpenStack Configured Server Management using Ansible and Dockers Deployed skills for Alexa on Amazon Echo Dot
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Education
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RWTH Aachen University
Master's degree, Data Science -
National University of Computer and Emerging Sciences
Bachelor of Science - BS, Computer Science -
Saint Mary's Academy
Cambridge International AS & A Levels, Computer Science -
Islamabad Convent School
Cambridge International O Level, Computer Science