Position: Machine Learning Engineer/Data Scientist
Category: Python
English level: upper
Years of experience: 5


Machine Learning Engineer - ENGINEET
May 2021 - Present

•Design Machine Learning system.
•Assist in model development, research and implement appropriate ML algorithms and tools
•Developed an algorithm to understand customer behavior
•Complied data from various source to perform complex analysis for actionable results
•Utilize machine learning algorithms such as linear regression, multivariate regression, naïve bayes, Random Forest, K-Means and etc. for data analysis
•Developed Clustering algorithms and Support Vector Machines that improved customer segmentation and Market expansion
•Worked on NOSQL database like Cassandra
•Main source of Business Regression report
•Design and build a text classification application using different text classification models
•Created charts in Jupyter Notebook to perform analysis & visualize data using Matplotlib 
•Define data augmentation pipeline
•Find and implement the right algorithms and tools for NLP tasks
•Developed NLP systems according to requirements
•Extend ML libraries and frameworks to apply in NLP tasks

Data Scientist - Wood World LLC
January 2017 - May 2019

•Worked independently or collaboratively to select a specific set of vendors that can support multiple guests
•Analyzing internal operations, evaluating how effectives and efficient they are compared to similar other businesses in the same field
•Forecasted on multiple products about their demand, pricing and predicting inventory management 
•Used PySpark to speed up the execution process 
•Predicted feature outcomes with current data management order
•Developed python programs for manipulating the data reading from various Teradata and convert them into one csv file
•Performing statistical data analysis and data visualization using Python
•Create reports based on findings to be presented to executives at monthly board meeting, making recommendations for improvement in addition to raw information.