Data Scientist

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Data Scientist

ID : 1477

Education level : Bachelor's degree

Work experience level : Beginner- (internship- 1 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2023-01-10

Data Scientist Part-time - Ark Technology, New York, NY - (March 2022 - Present)

Define the metrics and KPI to evaluate user engagement, user retention, and eco-system health.
Conducted data cleaning, transformation, and exploratory data analysis using Python and SQL.
Performed work tokenization and stemming to convert messy text data into a standardized bag of words.
Generated sentiment features for different tags of user posts and analyzed corresponding popularity of different categories to provide alternative-data-driven business insights for business analysts and marketing.
Built machine learning models (Lasso Regression, Random Forest, Xgboost) to predict user reaction rate.
Created a data visualization dashboard and generated the weekly reports in Splunk based on sentiment data.

Data Scientist Intern - Xiaoxiang Big Data Institute, Remote - (June 2021 - August 2021)

Converted real-world problems of public safety monitoring into machine learning use cases.
Performed exploratory data analysis on Hunan Province’s crime data through descriptive analysis and graphs.
Built machine learning models such as Naive Bayes, Logistic Regression and Random Forest in Python to predict the category of crime based on features such as geolocation, population and time, which achieved a log-loss of 2.61.

Operational Data Analyst Intern - China Tobacco, Changsha, Hunan - (Octomber 2020 - January 2021)

Collaborated with the HR department to collect user needs and identify pain points, developing an ETL pipeline and using MySQL to evaluate the work performance and attendance of each employee.
Use Python and Dijkstra’s Shortest Path algorithm to conduct delivery route optimization, monitoring the model performance under the real-world scenario through fieldwork and real-time analysis.
Did ad-hoc analysis on a weekly basis and presented to stakeholders to facilitate internal system immigration.

Programming Languages, and Tools:
- Python(Numpy
- Pandas
- Sklearn
- Tensorflow)
- R,
- Julia
- C++
- SageMath
- SQL
- Java
- Spark
- VBA
- Tableau
Data Science & Analytical Skills:
- Regression Analytics
- Predictive Analytics
- Data Visualization,
- Database Management,
- Math Modeling
- Supervised and Unsupervised ML
- Time Series Analysis
- Deep Learning

Python, R, Julia, C++, SageMath, SQL, Java, Spark, VBA, Tableau, Regression Analytics, Predictive Analytics, Data Visualization, Database Management, Math Modeling, Supervised and Unsupervised ML, Time Series Analysis, Deep Learning

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Education level: Bachelor's degree

Work experience level: Intermediate- (2-4 year experience)

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Education level: Bachelor's degree

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Education level: Bachelor's degree

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Intern

Education level: Bachelor's degree

Work experience level: Beginner- (internship- 1 year experience)

Data Scientist

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