Data Analyst
Hi, my name is Ronald Martis. I have a doctorate degree in Physical Chemistry. Recently, I completed a certificate course in Data Science at Rutgers University to add more Data Analysis tools to my portfolio. In my previous job, besides, alloy and product development, I performed statistical data (product and process) analysis using MS Excel and MiniTab for more than ten years. Now, I am looking for a position where I can use my newly gained knowledge and passion for data analysis.
Skills: Python, NumPy, Pandas, SciPy, Matplotlib, API Interactions, Data Visualizations, Social Media Mining, Pivot Tables, VBA Scripting, HTML, CSS, Bootstrap, D3.js, Chart.js, Dashboarding, Leaflet, CARTO, Leaflet, Tableau, SQL & NoSQL (MongoDB) databases, Machine Learning (scikit-learn), Modeling, Forecasting, Big Data Analytics, R, ggplot2.
Shown are two representative projects with codes in 'Projects' section. To view additional projects, please click on the GitHub link on top left hand corner.
Stroke data analysis using ML
Created and compared six ML models on stroke data of 43400 rows. Models used were: Logistic Regression, Decision Tree Classifier, K Neighbors, SVC, Linear Discriminant Analysis and Gaussian NB. k-fold cross-validation with k=10 was used in these models. Accuracy scores were obtained and plotted. Best model was selected based on accuracy score. Key parameters that predict stroke were identified. Code
WeatherPy
About 1200 combinations of latitudes and longitudes were randomly generated. Citipy python library was used to identify at least 500 unique cities based on geographical coordinates. Then, OpenWeatherMap API was used to obtain weather parameters (temperature, humidity, cloudiness and wind speeds) of these cities. The weather parameters were plotted against latitude to study any dependencies. Code