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Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Topology.
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Excelled in Econometrics and Accounting. Completed a senior project to find correlations between a countries crime index and level of education, through multivariate regression. Used regression models, and open source datasets.
Excelled in Topological Data Analytics and Advanced Statistics. Practicum in Topology. Used lower-star image filtrations for classification of 0-dimensional classes through persistent homology and bottleneck distance to find unique classes.
Collaborating with all team members to build a successful training model to predict letters from the Latin alphabet through the process of persistent homology. Using the notebook Lower Star Image Filtrations from ripser.py and scikit-learn-tda to identifying 0-dimensional classes in each letter to classify them through their Euclidean coordinates.
We aim to model the probability of attrition using logistic regression. This project has been performed in R and Python, utilizing scikit learn and other advanced Machine Learning tools. The results thus obtained will be used by management within an organization to understand what changes they should make to their workplace, in order to get most of their employees to stay.
Understanding how Graduate admissions work. To apply for graduate school is a very expensive with an intensive workload. Understanding how students could possibly guess their probability of acceptance and they will decide whether to apply for graduate studies or not.
Used R to analyze data and perform data visualization. Collaborated with team members to build successful models from pre-existing models and used the ANOVA table to improve the models we were building. Showed correlations between a countries crime index and levels of education in multivariate regression. Used Dplyr, Ggplot2, Esquisse and Lubridate.
Helped students develop business applications using Microsoft Excel. Tutored fellow peers in the fundamental of information technology (IT). Organizational Strategy using IT, Customer Relationship Management, Supply Chain Management, Elements of e-business, information security, and cyber-ethics.
Used R to analyze data and perform data visualization and presented the reports to the managers. Prepared and entered financial data for Operations Performance Management report. Increased net revenue by 8 percent by increasing production to meet consumer demand, providing quality customer service, and monitoring sales and labor cost. Assisted with employee development by providing training, counseling, performance appraisals, and promoting teamwork.
Manage department metrics report and database and analyzed reports using excel. Consistently exceeded annual goals in key metrics, such as profit, sales, employee retention, and customer service. Test and develop database management plan and organized the data for management.
My showcase of my projects and abilities as a Data Scientist.