Sergio Camacho Email & Phone Number

New York, Ny, Us

New York, Ny, Us

New York, United States

Assisting Sequence Analysis research. Responsible for data cleaning and engineering, analysis of sequence data, unsupervised learning analysis, and the interpretation of findings on a project that uses data from the national survey (NLSY). The project, carried out mostly using R, aims to understand the relationship between sequential job characteristics throughout a long portion of individual life courses and subsequent medical concerns, specifically involving mental health. Unsupervised learning and sequence analysis techniques were used to identify common life trajectories and their relationships with mental health.

New York, United States

Introductory Statistical Inference in R (Graduate)This course covered regression techniques from a simulation-based perspective, with an emphasis on applications. Topics include linear regression with single and multiple predictors; linear regression assumptions, diagnostics, and interpretation; prediction and inference; transformations and interactions; ANOVA; global tests for coefficients; contingency tables; and information criteria and model comparison. Held lab sessions weekly and offered office hours to help students. Responsible for grading homework and assessing students' progress.

New York, United States

Intermediate Quantitative Methods. The course was designed to meet the data analytic needs of the graduate students whose study relies on the analysis of quantitative data, focusing on linear regression with applications in R. Held lab sessions weekly to students focusing on implementations of the concepts explored in lecture. Responsible for grading homework and final exams. Offered office hours to help students with doubts and misunderstandings. Along the way, communicated to the professor the strengths and weaknesses they displayed.

Bogota, D.C., Capital District, Colombia

Lead a team of three data analysts. Responsible for different data analysis initiatives of Citibank’s Latam Corporate branch, focusing on transactional products. These projects included: Optimal Pricing Analysis (Revenue Management), Client channels intensity usage, Customer relationship status, Share of wallet, Product expansion and competition outlook. The Optimal Pricing Analysis (Revenue Management) yielded $500,000 additional revenue across Latam in 2019. Throughout the research and development of such projects, different data analytics tools such as SQL, Tableu, Qlikview, Python, R, Power BI, Microsoft Sharepoint, among others were used to extract, analyze and present insights.

Bogota, D.C., Capital District, Colombia

Microeconomics teacher assistant (undergraduate). Created class and homework problem sets. Lectured weekly, focusing on practical approaches to theoretical concepts. Helped students with questions offering office hours. Graded homework and exams. Regularly, communicated to the Professor the strengths and weaknesses that students displayed.

Bogota, D.C., Capital District, Colombia

Analyzed international and local equity, fixed income and FX markets, as well as macroeconomic trends for the bank’s treasury department. Contributed to research on Central American markets, economic policies and commerce trends, sharing insights for chief executives and directors. Built GDP and Inflation prediction models for Costa Rica, Honduras and El Salvador.

Bogota, D.C., Capital District, Colombia

Responsible for analyzing changes in regulation and fees for water sewerage in Bogota and Lima. Communicated such changes with reports and presentations to management. Worked on organizing and cleaning databases for the use of data analysts.

Master Of Science - Ms, Statistics, 3.9

Masters Degree in Applied Statistics (Computational Methods minor)

Micromasters - Statistics And Data Science, Data Science

Bachelor'S Degree, Economics

Education record