Tatiana Ankudo
@tatianaankudo
Data scientist specializing in predictive modeling, pricing optimization, and actionable ML-driven insights.
What I'm looking for
I am a data scientist with 4+ years applying predictive modeling, pricing optimization and advanced analytics across retail and healthcare to drive measurable business impact. I design and deploy ML algorithms and pipelines—leading projects that improved conversion rates, promotional ROI and profitability while collaborating closely with stakeholders.
My background spans production-grade model deployment, segmentation, time series and NLP, plus prior R&D leadership in industrial biotechnology. I prioritize building reproducible solutions, mentoring teammates, and aligning analytics with strategic goals to deliver tangible outcomes.
Experience
Work history, roles, and key accomplishments
Leading development of an AI-powered pipeline of predictive and recommendation models to optimize sales–HCP engagements, increasing contact conversion rates by 10% and HCP satisfaction by 20%. Driving a strategic initiative slated for patenting and mentoring junior staff to streamline team workflows.
Designed and implemented predictive models for promotional pricing that improved promotional ROI by 15% and developed pricing elasticity models that raised profit margins by 8% while integrating insights into sales planning to improve outreach efficiency by 5%.
Data Scientist
Crewasis
Jan 2021 - May 2021 (4 months)
Built customer-facing reports and models including linear regressions for cost control, time series price prediction, and NLP-based applicant screening to improve business process outcomes.
Associate Scientist
Intrexon/Codexis
Jan 2009 - Jan 2019 (10 years)
Led teams applying high-throughput screening, automation, and 'omics techniques for industrial biotechnology R&D, delivering enzyme development and microbial strain engineering projects to meet milestone-driven objectives.
Postdoctoral Researcher
Umeå University
Jan 2005 - Jan 2007 (2 years)
Conducted postdoctoral research in life sciences, contributing to experimental design and advanced analyses between 2005 and 2007.
Education
Degrees, certifications, and relevant coursework
Coursera (Stanford University Machine Learning)
Certificate, Machine Learning
2021 - 2022
Completed online Machine Learning coursework covering linear and logistic regression, clustering, and ensemble methods.
Skillfactory DST-PRO
Certificate, Data Science
2020 - 2022
Completed an online data science program covering Python, SQL, deep learning, data engineering, and big data technologies.
Progmatic Coding Academy
Certificate, Software Development
2020 - 2020
Completed a junior developer program focused on algorithms, object-oriented programming, web technologies, and version control.
Umeå University
Postdoctoral Researcher, Postdoctoral Research
2005 - 2007
Postdoctoral research position involving advanced research activities in the relevant scientific field.
Martin-Luther-Universität Halle-Wittenberg
Ph.D., Doctoral Studies
2000 - 2004
Completed doctoral studies (Ph.D.) at Martin-Luther-Universität Halle-Wittenberg.
Availability
Location
Authorized to work in
Job categories
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