Anel Nurkayeva
Data Manager
AI/ML
About Me
Data Governance, ML/AI
I am Data Manager
Accomplished Data Curator with a strong track record in managing and optimizing large-scale datasets to advance autonomous driving technologies. With expertise in designing robust data collection strategies, implementing rigorous quality controls, and leveraging Python, Pandas, NumPy, SQL, Git, Anel has consistently driven impactful insights and operational efficiencies. Her career spans pivotal roles at leading tech firms, where she has excelled in fostering collaborative environments and spearheading transformative projects that align with strategic business objectives. Anel’s commitment to excellence and her proficiency in machine learning underscore her ability to drive innovation and operational excellence in dynamic, data-intensive projects from labeling to deployment.
- Residence USA
- e-mail email@example.com
- Phone +0123 123 456 789
Worked with
Resume
6 Years of Experience
Volunteering
2020
Lead Data Science Manager
Omdena- Collected data and Curated datasets for quarterly challenges
- Lead Data Labeling Efforts, Lead Modeling efforts, created Deep Learning algorithm
- Mentored geographically distributed team of jr ml engineers through data preparation, modeling, labeling and reporting
- Created ML models of outstanding accuracy
Experience
July 2022 - March 2024
Data Asset Manager
Proctor and Gamble- Led the development of large-scale datasets critical for enhancing, ensuring alignment with neural network requirements, unlocking $200M in energy savings
- Identified improvement opportunities, integrate stakeholder feedback, and collaborate on process enhancements for data publication creating new metadata load process slashing process from 1 month to 2 days
- Designed and implemented data collection strategies leveraging engineering resources and customer data to gather thousands of examples.
- Streamlined complex datasets in pipelines and dashboards , influencing leaders to make data driven decisions
- Curated data catalog- articles, dataset metadata, terms and conditions
- Lead certification trainings - organizing training sessions (Data Integrity and Operability), cultivating an inclusive work environment that fosters authenticity and encourages all voices to be heard
Sep 2021 - June 2022
Data Manager
QAnalyst@Facebook VR- Managed conduction requirement collection, data modeling, and developed data pipelines and dashboards for inventory, stock, and product feedback
- Coordinated with AI Engineers and Test teams to develop and validate evaluations, facilitating continuous improvement
- Implemented rigorous auditing and filtering protocols to maintain dataset integrity and enhance AI training efficacy.
- Drove cohesive vision alignment across teams by providing customer-centric input on priorities and communicating status updates to ensure clarity on objectives and delivery.
- Troubleshooted issues and bugs, identifying upstream issues preventing data breakages
- Leveraged data expertise to drive data analysis projects.
- Became an expert and go to person in data extraction, transformation, and visualization, enabling our teams to derive meaningful insights that drive business success.
- Produced detailed reports highlighting key issues, release blockers, project progress, and actionable next steps for various projects.
Jan 2020 - June 2022
Ops Analytics Manager
SMX@Google Shopping- Created SOP for labeling and flagging transactions decreasing fraud by 0.04 % (12M a week)
- Designed and maintained risk detection and monitoring dashboards and alerts
- Became an expert in core risk infrastructure, tools, systems, and data
- Collaborated with a diverse array of stakeholders, from both business and technical sides becoming data expert of the team
- Created image classifier to discriminate between industrial and residential addresses
Apr 2018 - June 2020
Lead content labeling analyst - Data Integrity Team
ProUnlimited@Facebook- Elevated quality metrics from 50% to 90% by implementing data-driven training for QA teams
- Created and managed daily dashboards tracking volume and labeling quality using Tableau, SQL, and Python
- Trained new labelers and offshore teams
- Written Labeling Guidelines further improving quality and the process
• Supported establishment of data quality rules with the business. Monitor data quality and coordinate the remediation of data quality issues and data exceptions. Monitor and report related metrics
Apr 2017 - Apr 2018
Labeler / Annotator
YouTube- Wrote a script to speed up the process of submitting reviewed data increasing speed of submission X5 times
- Supported urgent requests and projects while collaborating with cross-functional teams
- Made suggestions to the policy change
Coding
Python
Pandas
Git
SQL
NumPy
Data Management
Data Labeling
Guidelines, SOP, Labeling Rules
Data Visualization
ML/AI data prep
Certifications
2024
Certified Data Asset Manager
CDMP2023
AI Solution Architect
Microsoft2024
PSPO I
Agile/Scrum2022
AI Product Management
UdacityEducation
2022
Master's Applied Data Science
University of Michigan2010
MBA
SF Bay University2017
Bachelor's of Computer Science
SF Bay UniversityAwards
2004
Kazakhstan Governmental Educational Grant
Kazakhstan Government2020
Bertelsman Scholarship
Udacity2020
Kahuna award floor outstanding leadership (Udacity)
UdacityAssigned Celebration channel Leader
Creator of AI challenges for students (data curation and organization)