Breanna Richards Email & Phone Number

New York, Ny, Us

Baltimore, Maryland, Us

* Revolutionized sales planning by developing a data-driven recommendation process, achieving a 98% user acceptance rate, and reducing planning time from two months to 3-4 hours per person, while identifying critical sales opportunities for a key sales team and earning a Shine award for exceptional collaboration* Transformed a legacy sales prospecting approach to align with strategic priorities, surfacing >$120 million in new business opportunities within 9 months of launch* Launched a targeted propensity model for exchange-traded funds (ETF) products, significantly increasing sales and strengthening partnerships with subject matter experts across the organization* Mentored a Data Science intern in developing an ETF client interest model, fostering professional growth and demonstrating strong leadership capabilities within the team* Spearheaded a team-wide TED Talk series, promoting cross-collaboration and inclusivity, resulting in improved team cohesion and earning a Shine award for outstanding coordination

Providence, Rhode Island, Us

* Calibrated probabilities of transition in the use of estimating cigarette and e-cigarette dynamic behaviors in the U.S. population over time with Markov multi-state modeling using R on longitudinal data from a nationally representative study of 60K+ participants. * Improved the predictive accuracy of an established microsimulation model against empirical estimates by a root-mean-squared error of ~5% in collaboration with a clinical research team at Harvard Medical School.* Empowered a broader policy analysis study in capturing the impact of taxes on tobacco use in the U.S. (manuscript in progress).- Won award for best research poster in ScM Biostatistics @ Brown University 2023 Public Health Research Day

Providence, Rhode Island, Us

Supplemental Teaching Assistant for PHP1511 Applied Regression Analysis.* Collaborated with two instructors and two other TAs to grade coursework, lead weekly office hour sessions, and answer student questions from a joint class size of 80+.* Achieved a 4.67/5 (where a score of 4 is 'agree' with questions positively framed towards my effectiveness as a TA, and a score of 5 is 'strongly agree') average evaluation score from end-of-year feedback given by the course’s students through a series of survey questions aimed at gauging my effectiveness as a teaching assistant.

Mountain View, Ca, Us

* Pioneered product-wide efforts toward preventing call spam in a new problem space including contributing to the A/B experimentation of a novel spam report feature on a user calling app aimed to propel excellent user experience.* Synthesized millions of rows of data to extract actionable insights using statistical modeling and hypothesis testing with Google SQL and R.* Effectively communicated findings to earn buy-in from diverse technical and non-technical audiences including senior leadership and key stakeholders. * Impelled the progression of this project concerning an uncharted area of spam as a high-priority task for the data science, engineering, and UX/UXR teams.

Amherst, Ma, Us

* Curated and analyzed qualitative and quantitative data on success and learning outcomes for underrepresented students in STEM using R and Python to strategize and provide actionable insights to leaders in STEM education for 10+ universities participating in the Being Human in STEM 2021 Conference.

Amherst, Ma, Us

* Tutored and provided support for students in the Intermediate Statistics and Data Science courses at Amherst College for topics in data preparation, exploratory analytics, data modeling, hypothesis testing, Shiny dashboards, text analysis, web scraping, Google Cloud Platform, and spatial and network statistics using R and SQL.* Facilitated grade improvements in two students by one letter grade.

New York, Ny, Us

* Extracted and analyzed genomic data from 500+ patients using R and SQL during a selective (1 of 9 students chosen from 100+ applicants) summer program and effectively presented results detailing value/impact to cross-collaborative teams using revolutionary techniques from Melissa Marshall’s Present Your Science. * Optimized the random forest machine learning algorithm at 82% in classifying between major rarely distinguishable subtypes of non-Hodgkin’s lymphoma, prioritizing relevant early treatment assignment, and thus improving long-term patient prognosis.* Conducted a simulation study aimed at investigating the differences in predictive performance between random forests, logistic regression, and LASSO regression on resampled data of in-house lymphoma patients, verifying a 1-5% accuracy advantage employing random forests.* Devolved this work further into my senior thesis which focused on classifying lymphatic cancer types using logistic regression, random forests, and LASSO regression

Amherst, Ma, Us

* Developed an algorithm for the sentiment of victim impact statements from the first sentencing trial of Larry Nassar in East Lansing using correlation analysis, term frequency - inverse document frequency (tf-idf), and sentiment text analysis procedures in R.

Amherst, Ma, Us

* Investigated properties of protein networks used to predict folding and unfolding rates of two- and multi-state proteins using network statistics, bootstrapping, correlation analysis, and linear regression in R to help understand how a protein folds, allowing insight into how to treat misfolding and thus combat diseases like cystic fibrosis and amyloid-related diseases.* Continued this project from the summer throughout the following semester.

Amherst, Ma, Us

* Assessed clinical trials in clinical journals for the prevalence of partially nested designs in recent years and formed an updated summary on the use of such methods for analyzing data

Master Of Science - Ms, Biostatistics

Bachelor Of Arts - Ba, Mathematics And Statistics

High School Diploma