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Work Background
Founders Running ClubCo-Founder | ATX Chapter
Jun. 2024Austin, Texas Metropolitan Area- Launched a Founders Running Club in Austin TX
- Grew the community from 0 to 500+ people by hosting weekly runs
Atlas Energy SolutionsData Engineer
Apr. 2024Austin, Texas Metropolitan Area- Launched “Desserts & Dashboards” workshops to align IT and business stakeholders and embed a transparent project‑prioritization framework. - Led a team of three developers to deliver custom Power BI dashboards; personally designed key reports and earned Power BI certification. - Gathered and distilled business requirements into clear user stories and technical specs—often implementing high‑impact analytics features myself. - Built and optimized ETL pipelines with Azure Functions and Databricks to ingest SharePoint data into our Azure Data Platform, streamlining workflows and boosting data reliability
RiseUP StarsChief Operating Officer (COO)
Oct. 2023 - Jun. 2024Austin, Texas Metropolitan Area- Streamlined processes to increase sales by 35% and to Improved client retention by 26% making RiseUP Stars the largest brand in the US for movement-based after-school programs
- Sold RiseUP Stars services to over a hundred schools over 6 months
ScapioCo-Founder and CEO
Jan. 2022 - Oct. 2023New York, United States- Leveraged human-centered design to re-imagine education by building a multi-sensory immersive gaming station
- Using Lean Methodology, conducted user interviews, performed research, implemented a go-to-market strategy
- Sold the first copies of the product by effectively communicating our technology's benefits to school principals
- Executed the manufacturing of the hardware product from concept to delivery, leading a cross-functional team of 5
- After building the first MVP in the US, optimized costs by outsourcing raw materials and manufacturing to Montenegro, yielding a profit margin increase from 11% to 64%
Fannie MaeSenior Data Scientist
Apr. 2018 - Dec. 2021Washington, District of Columbia, United StatesDeveloping models for textual and time-series data using Machine Learning, Python and Natural Language Processing (SciKit-Learn, NLTK, Gensim, SpaCy; TensorFlow and Keras); supporting and automating Tableau report production Using Machine Learning, Python and Natural Language Processing developed:
○ a classification model in Python which labels textual descriptions with different risk taxonomy types
○ a deep learning model that predicts (with 84% accuracy) which Multi-Family loans would become delinquent
○ a program that converts 100+ compliance documents from different formats into text and allows auditors to search throughout the entire set A streamlined process for producing risk reports by building a new Enterprise Risk Management (ERM) procedure:
○ contains clear guidance on how to design, validate and modify risk reports, ensuring high data quality and appropriate level of governance
○ developed and led workshops for 100+ employees for all teams across ERM to begin execution
● Consolidated and rebuilt back-end data sources to improve Tableau dashboard speed by 50x
● Implemented project-management best practices for my team: CanBan boards, intake request tracker in JIRA, Confluence as a knowledge base
Tier One Analytics (T1A)Information Technology Consultant
Dec. 2015 - Apr. 2018Reston, VA-For one of the largest US retail stores collecting and structuring customer requirements, marketing campaign design and development with SAS Marketing Automation in SAS Customer Intelligence Studio, SAS Information Maps configuration, preparation of testing scenario documents, conducting testing procedures (functional tests, integration tests, user acceptance tests), on-project support for business users
-For one of the mid-size US banks participation in the Data Warehouse development, building different reports in SAS Visual Analytics and Tableau
-For one of the largest Canadian telco companies participation in all stages of SAS Real-Time Decision Manager (SAS RTDM) implementation project including analyzing and structuring detailed functional and integrational requirements, designing and developing SAS RTDM marketing campaigns in SAS Customer Intelligence Studio, providing marketing campaign testing, facilitation of business users workshops
Institute of Complex Systems Mathematical ResearchResearch Assistant
Jun. 2014 - Aug. 2014Research of Hodgkin - Huxley mathematical model with modifications of Soto - Alexandrov of primary afferent vestibular neuron activity (a system of two differential equations). The analysis of stability of the determined system.
McKinsey & CompanyBusiness Analyst
Jan. 2014 - Dec. 2015- Performed comparative analysis of all competitors and select best suppliers in the following categories: construction and installation works, industrial safety expertise, technical service and maintenance - Analysed time loss during the maintenance of a workshop of a plant
- Equipment demands estimation for 2015
- Cost-volume-profit analysis for a Russian engineering plant
UniumMath Teacher
Apr. 2011 - Jan. 2012My responsibilities include an explanation of difficult mathematical concepts by using simple language and analogs. I publicly spoke to a group of 20 people
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