Aram R. Email & Phone Number

Chicago, Il, Us

United States

Chicago, Illinois, United States

Working with large complex data sets, Machine Learning (e.g. classification, regression, clustering, geospatial analysis) and Deep Learning for time series and geospatial data by using Python, R, SQL, Spark and Tableau to improve 4+ million customers' network experience

United States

- Trained 116 software engineers, data scientist and analyst to use effectively prompt techniques to improve performance and reliability of Generative AI models.- Addressed 4 reproducible workshops in Spanish by leveraging LangChain, OpenAI API, Python, GitHub, Copilot and Visual Studio Code.

United States

• Performed explorative data analysis, designed statistical samples and hypothesis testing (R) to strengthen the rule of law and consolidate the criminal justice system in Mexico which improved 8,000+ police officers’ competencies • Developed, tracked and evaluated analytics for public policy interventions by using statistical methodologies (regression models, time series, R, Python) that served 30+M people in Mexico and 70+ non-technical stakeholders• Guided product research for 7+ universities by performing data mining and ad-hoc quantitative research with large data sets from different sources (SQL, Python) to identify needs and predict trends in Higher Education and Healthcare markets, which resulted in launching 30+ products that served 25,000+ students’ learning experience

Mexico City, Mexico

Generalized Linear Models (Actuarial Science Undergraduate Program). Used R, Jupiter Notebooks, Google Collab

Ciudad De México, Distrito Federal, México

• Promoted to Senior Data Scientist; managed a team of 5 junior data analyst that performed ad-hoc quantitative analysis with statistical and machine learning techniques (R, Python, SQL) to optimize business strategy for 70+ products and improve 12,000+ students’ service experiences • Guided metric development and data analysis (regression, time series, clustering, factor analysis) with large data sets (R, Python, SQL) to identify and quantify patterns for business requirements, which increased the number of products by 30% and 1,200+ new students per year • Mentored 100+ coworkers and improved 20+ departments’ data initiatives by designing and delivering professional training on data science tools to improve data science best practices • Implemented +50 predictive models (time series, R) to make accurate KPIs forecast, which saved $10+M per year for Marketing and Finance departments and increased profits by $200+M per year• Defined 20+ top-level business and success metrics in close coordination with key partners (marketing, finance, operations) to measure and track performance for 70+ products and 12,000+ customers• Communicated and delivered innovative solutions by using compelling data visualizations and narratives (R, Python, Carto, Tableau) for 30+ non-technical stakeholders to answer business key questions

Ciudad De México, Distrito Federal, México

• Performed data mining and statistical methodologies (regression, time series models, clustering, R) to identify patterns and trends in potential consumer population, resulting in opening a new campus which added value by $150+M and served 1,000+ new customers per year • Reduced students’ dropout rate by 15% by implementing statistical methodologies and data analysis techniques (generalized linear models, decision trees, R, Python) to predict students’ performance• Conducted data analysis by designing and analyzing large-scale surveys (SaaS platforms), and creating compelling data visualizations and reports, resulting in designing and launching 50+ products• Cleaned, aggregated, validated, and manipulated 30+ large data sets from different sources and formats to drive 50+ actionable business intelligence analyses and analytical tools• Designed and implemented an analytical algorithm to generate customized credit conversions, which reduced credit conversion time by 50% and benefited 3,000+ customers to study abroad• Collaborated with a cross-functional team to develop and launch a new teacher evaluation system by using statistical methodologies (hypothesis testing, factor analysis, PCA, regression analysis) to measure teachers’ performance, which improved 1,300+ teachers’ productivity

Área Metropolitana De Ciudad De México

Mathematical Demography (Actuarial Science Undergraduate Program)

Área Metropolitana De Ciudad De México

Biostatistics (Health Science Undergraduate Program and Healthcare Business Graduate Program)

Mexico City Metropolitan Area

• Maximized daily revenue by $1+M by building and tuning forecast models (time series, R) to detect anomalies in customers’ consumption patterns with high-dimensional noisy data• Built predictive models (R) to forecast and report revenue to understand and track sales performance for 100+ products and daily revenue by $40+M• Conducted 5 data analysis projects simultaneously (regression, clustering, decision trees, time series) and collaborated with cross-functional teams to improve products and services that served 1+M clients per month• Reduced analysis and reporting times by 50% by streamlining data analysis pipeline and monitoring data quality (R, SQL)

Ciudad De México, Distrito Federal, México

• Designed and analyzed surveys with statistical techniques to develop and track complex analytics that improved 50+ products and 6,000+ students’ learning experience • Performed data mining and data analysis with relational databases (SQL, R, SPSS) to identify correlations and patterns to make accurate conclusions and predictions that supported business requirements that served 10,000+ customers• Developed and communicated data-driven stories (visualizations, dashboards reports, R) to deliver insights and guide strategic decisions that served 10,000+ customers and 2,000+ employees

Ciudad De México, Distrito Federal, México

Actuarial Mathematics, Demographic Models and Demographic Analysis (Actuarial Science Undergraduate Program)

Mexico City, Federal District, Mexico

• Performed data mining and applied predictive models (generalized linear models, time series, R, Excel VBA) for auto line and life business, which updated 30+ products and increase revenue by 5% • Built 10+ predictive models (time series, R) to make accurate predictions and evaluate trends for key claim metrics for auto line and life business (severity and frequency), which optimized profits by $1+M• Collaborated with cross-functional partners to build a robust statistical framework to update reserve methodologies

Master Of Science - Ms, Mathematical Demography

Fellowship by Mexican National Council of Science and Technology (CONACYT)

Bachelor Of Science - Bs, Actuarial Mathematics

Mathematics-Statistics-Actuarial Science Major in Statistics

Leveraging Big Data For Sustainable Development

Fellowship by MIT Sloan