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About Me

𝗦𝗸𝗶𝗹𝗹𝘀: Data engineering, sales, data analytics, ETL, data migration, data visualization, Python, SQL, Pandas, GCP, AWS, VertexAI LLM, Databricks, Snowflake, Microsoft Excel, Salesforce, Tableau, Power Bi, DAX, Salesforce.

With more than a decade of background in data engineering, sales, and a Ph.D. in Computational Neuroscience, I approach data challenges with a research mindset, working to develop innovative solutions that bridge business needs and gaps and deliver tangible product value.

I enjoy finding the right data solution and architecture, leading teams, building data pipelines and Gen-AI solutions, understanding the client’s pain points and creating the best solution for migration, analytics, and extension of capabilities.

Some of my loves and accomplishments:


𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿/𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗲𝗮𝗱

  • Solutioned and built data cleansing, data pipelines, data mapping, analytics tools, QA tests, and ETL processes.

  • Increased ETL performance in SQL and Python by 80% through refactoring code.

  • Utilized A/B testing to optimize conversion rates by 25%.

  • Industries: fintech, education, energy, human resources, security, non-profit, life science research.


𝗦𝗮𝗹𝗲𝘀

  • Promoted a $1.5M contract by identifying data gaps.

  • Created close relationships with clients that led to multiple sales opportunities.

  • Provide technical expertise and support during sales conversations and POCs to drive customer engagement.


𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗖𝗧𝗢, 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗖𝗼𝗺𝗽𝗮𝗻𝘆

  • Architected data pipelines and analytics for a successful web service launch.

  • Managed product development, team, and data infrastructure.


𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗡𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 (𝗣𝗵.𝗗.)

  • Published research in top-tier journals (Science Magazine™, Neuron™, The Journal of Neuroscience™) and an academic textbook (Dendrites, 3rd Ed).

  • Developed data analysis tools, visualizations, and simulations.

  • Presented findings at international scientific conferences.

© 2020 by Maya Sandler.
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