Data Science Student
US Citizen • GitHub: litalert • Phone: (571) 276-8615 • Email: email@example.com • Security Clearance: Secret
EDUCATION & CERTIFICATIONS
B.S. Mechanical Engineering (graduated, GPA: 3.56- cum laude) Virginia Tech, Blacksburg, VA
Certificate of Data Science (expected graduation- Jan 2018) Springboard
Cryptocurrency Price Prediction with Python- https://github.com/litalert/Cryptocurrency_TimeSeries_Analysis
§ Pairwise compared price data across crytocurrency markets to identify cointegrated pairs based on Granger Causality.
§ Used Pandas, NumPy, and Scikit-learn packages to clean, visualize and analyze the time series. Then, performed feature selection using ElasticNet regularization.
§ Predicted future prices with StatsModels ARIMAX model, using the identified cointegration, historical data, and macroeconomic covariates. Data was acquired via Google News/Yahoo Finance APIs and web scraping.
Online Publication Writer- towardsdatascience.com
§ Towards Data Science is a platform where thousands of people exchange ideas and expand our understanding of data science. The platform is a growing community with 46k followers and counting.
§ Published article that reached 1000 views in four days, which later was featured on the “must read” and “editor’s picks” lists. Link: https://towardsdatascience.com/demystifying-cryptocurrency-price-prediction-5fb2b504a110
Lockheed Martin Palmdale, CA July 2016 – Present
Program Manager– Advanced Development Programs (Skunk Works®)
§ Managed a $150K project to develop roadmap tool to support the maturation of 35+ emerging technologies. The tools ensure the alignment of technology and business insights through gap analysis.
§ Customized and launched Enterprise Resource Planning (ERP) software. Gathered requirements, modified source code/SQL queries, prepared code deployment configurations, and conducted user training sessions. The software visualizes and forecasts staffing needs for a fast-paced organization with dynamic budgets.
§ Tracked business metrics of Contract Research and Development (CRAD) and internal New Business Funds (NBF). The visualized data is used to aid strategic decision-making. The team received $290M of CRAD orders in 2016.
Boeing Everett, WA May 2015- Aug 2015
Product Development Intern
§ Introduced lean productivity tools to 70+ engineers from 8 teams in 777X Airplane Integration, resulting in a new daily operating rhythm, 18% increase in incoming quality and 5% overall reduced multi-tasking.
§ Led 8 workshops for 350+ engineers and 60+ managers from the 777X Airplane Program followed by leadership coaching for 47+ team leads in using Work in Process visibility boards, quality checklists, and clear escalation triggers.
General Electric Louisville, KY Aug 2014- Dec 2014
Research and Development Co-op
§ Defined a new experiment for dishwasher thermal tests to eliminate user bias and provide quantitative test data.
§ Programmed and fabricated a temperature control box by integrating electro-mechanical fan and heater components into a sheet metal enclosure, which was used for a prototype dishwasher during thermal test.
Toyota Princeton, IN Jan 2015 – Apr 2015
Production Engineering Co-op
§ Designed CAD models of 3 tooling equipment details of windshield primer detectors to support Leveled Production.
§ Redesigned moon roof dollies and performed Finite Element Analysis, resulting in a 10-pound weight savings.
Data & Statistics – Python, R, SQL, Data Mining, Visualization, Exploratory Data Analysis, Inferential Statistics, Hypothesis Testing (A/B testing), Bootstrap, Predictive Modeling, MapReduce, Apache Spark, API, Web Scraping, Git
Machine Learning- Linear Regression, Logistic Regression, RF, Naïve Bayes, SVM, K-NN, XGBoost, K-Means, NN, PCA, NLP, Social Network Analysis, Time Series Analysis, Feature Engineering
Engineering & Management- Agile/Waterfall Project Management, PDCA (Six Sigma), Prioritization, Requirement Gathering, Earned Value Management, Toyota Production System (Lean Engineering), Experimental Design, MATLAB, CAD, CATIA V5, SolidWorks, LabVIEW, HTML/CS, Presentation
- Agile/Waterfall Project Management
- Apache Spark
- CATIA V5
- Data & Statistics - Python
- Data Mining
- Earned Value Management
- Experimental Design
- Exploratory Data Analysis
- Feature Engineering
- Git Machine Learning- Linear Regression
- Hypothesis Testing (A/B testing)
- Inferential Statistics
- Logistic Regression
- Naïve Bayes
- PDCA (Six Sigma)
- Predictive Modeling
- Requirement Gathering
- Social Network Analysis
- Time Series Analysis
- Toyota Production System (Lean Engineering)
- Web Scraping