Ayanna W.

Director, Machine Learning @Sensor Tower

San Francisco, CA, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jul 2024 — Present

Director, Machine Learning @Sensor Tower

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San Francisco, CA, US

I lead a team specializing in analytics, data science, and machine learning engineering that builds high-quality and robust AI/ML products and features.

EDUCATION

2011 — 2015

Augustana College

Bachelor of Arts (B.A.), Neuroscience; Philosophy

2015 — 2020

University of California, Davis

Doctor of Philosophy (Ph.D.), Neuroscience

SKILLS

Mental HealthResearchTrainingManagementProgram ManagementSalesStudent DevelopmentHigher EducationStudent AffairsGrant WritingCommunity OutreachStudent LeadershipNeuroscienceChromatin Immunoprecipitation SequencingImmunocytochemistryRnaseqGenomicsMolecular & Cellular BiologyWestern BlottingPolymerase Chain Reaction (Pcr)

ABOUT AYANNA W.

I am an experienced data and leadership professional with expertise in various topics and industries.My current role is at data.ai, formerly App Annie, where we provide app market, advertising analytics, and data science driven insights for mobile publishers and brands. I am the Manager of the Acquisition and Monetization team of Data Scientists and Machine Learning Engineers who launch new products and features as well as help maintain our core Intelligence products. Our products and features include the Downloads & Revenue, In-App Purchase Revenue, Download Channel, ASO Keywords, Paid Search, Advertising Revenue, Advertising Creatives, and Featured reports.During my PhD I specialized in genomic and transcriptomic data analysis to study how mutations to a high-risk gene relate to autism-relevant neurological phenotypes in patients. I was also involved in other projects unrelated to my dissertation work including studying the effectiveness of online and hybrid learning systems- Tools: R, Python, Unix, Bash, High Performance Computing with SLURM, PySpark, numpy, pandas, Tableau, AWS, Gitlab, PyCharm, SQL, Mllib, Scikit-Learn, Databricks, plotnine, ggplot2, seaborn- Skills: Linear regression, Decision Trees, Random Forest, dimensionality reduction, multidimensional scaling, cluster analysis, permutation testing, data visualizationOther interests include education, STEM outreach, and diversity/inclusion.

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