Business and Data Analyst with experience in data analysis, machine learning, natural language processing, statistical analysis, cloud computing, and agile methodologies. Experience includes building clustering and time …
Business and Data Analyst with experience in data analysis, machine learning, natural language processing, statistical analysis, cloud computing, and agile methodologies. Experience includes building clustering and time series models, creating dashboards in Tableau and PowerBI, and automating reporting and QA processes using Python, SQL, and related tools.
Led and developed a unique clustering algorithm (based on DBSCAN)
to identify key customer segments and streamline funnel analysis,
enabling the client to accurately configure and curate their
go-to-market strategies
Led and developed a unique clustering algorithm based on DBSCAN to identify key customer segments and streamline funnel analysis.
Enabled the client to accurately configure and curate their go-to-market strategies.
Designed and implemented a time series ARIMA model to forecast paid media spend.
Mitigated budget overpacing by 3-4 pp.
Created Tableau and PowerBI dashboards to automate reporting and broaden data visibility.
Saved several hours of time per week spent on conducting data analyses for external stakeholder meetings.
Pioneered two landing page tests.
Yielded a 5% increase in mobile visitors.
Drove an estimated 250k in yearly incremental revenue.
Notable clients: Frontier Communications, Apple, Open Door.
Researched the relationship between scientific research investment and award outcomes using Python and the BeautifulSoup API to web scrape and analyze scientific publication data.
Established a natural language processing LDA model in Python to comprehend hidden semantic structure in COVID-related research.
Routinely produced reports and dashboards using SQL and Looker to analyze trends and identify insights for company stakeholders to drive operational decision-making.
Automated part of the enterprise quality assurance process through Python scripts.
Resulted in an immediate correction of any SFDC errors in all of Toast’s payments solutions.
Conducted in-depth multi-armed bandit machine learning research to rank performance of 8 trading algorithms against key benchmarks.
Identified effective training parameters and strategy combinations that may be used for future machine learning research.
Consolidated summary statistics on 200+ broker-provided algorithms.
Redesigned FlexTrade’s AlgoWheel user dashboard using Python to improve readability and analysis of information.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
