Data Scientist Resume

SUMMARY

Solid background in mathematics, statistics, mathematical optimization (linear and combinatorial programming, nonlinear programming, stochastic programming), Monte - Carlo simulation, statistical modeling, and data mining.
Proficient with Python, C++, ROOT, Linux, Latex, and Grid computing. Experienced programming skills Matlab, Excel, R, Tableau, SQL, Hadoop/Spark.
Team-player and self-motivated with the willingness to learn and contribute, fast-learner, strong problem solving skills and adaptive to fast-paced and complex environment.

PROFESSIONAL EXPERIENCE

Confidential

Data Scientist

Responsibilities:

Worked on upgrading an existing business planning tool algorithms to make them more flexible, current and in line with global markets needs and competitive advancements
New library of suitable (trained & tested) statistical processes utilized both linear and non-linear methods, and further incorporated machine learning techniques where necessary for forecasting, e.g. regression, SVR, cluster analysis etc.
The new tools increased throughput, reduced cost, expedited delivery, and prepared for more flexible design and alternate modeling solutions, all while maintaining or increasing forecast accuracy.

Research Scientist

Confidential

Responsibilities:

Conducted experimental nuclear physics research funded by DOE to discover new insight from big data collected at the LHC.
Monte-Carlo simulations used to correct corrupted or low statistics data problems. It increased the quality of the analyzed data.
Machine learning ML linear and advanced non-linear techniques used in the statistical analysis (forecasting, predictive models).
Developed new algorithms to identify trends and relationships between different pieces of large data sets. Mathematical programming and optimization techniques implemented
Grid, cloud computing for the big data, it saved time in the analysis process
New important results published and presented at international conferences

Research Assistant

Confidential

Responsibilities:

Conducted research in collaboration with Confidential . Collaborating with hundreds of international scientists
Teaching physics courses for students from different departments (Engineering, Sciences and Art) up to 45 students per class
Supervised up to 3 undergraduate students each summer during their summer undergraduate research program

Data Analyst

Confidential

Responsibilities:

Data preprocessing and quality assurance visual plots of the collected data designed using ROOT.
Onsite shifts as DQM (Data Quality Monitor) during data gathering, monitoring the quality of the visualized data using real-time data visualization of histograms and distributions to identify any problems for missing, inaccurate, or corrupted data in the raw data.