Suduhang Subba

**** ******** *****, **** *****, TX-76118

Contact: 469-***-****, adj3yu@r.postjobfree.com

Education

The University of Texas at Dallas

Richardson, TX

Skills

• Proficient skills in Python, R, SQL, Excel, Java, C++, Hadoop, PySpark, MATLAB, Neo4j

• Excellent in high-level Mathematics and Statistics. Topics include: Multiple Linear regression, Machine Learning

(Scikit-Learn, Keras, TensorFlow), Sampling distribution, SVD, ANOVA and ANCOVA (using R).

• Courses taken: Computational Methods for Data Scientist (Python ML), Intro to Big Data Management (Hadoop and PySpark), Data Structures and Algorithms (Java), Intro to Statistical Learning (R programming), Numerical and Statistical Computing (R programming), Intro to Machine Learning (Python), Intro to Database Systems (SQL) Academic Projects

• Deep Learning Bootcamp (Certified)

o Built various projects covering topics of CNN theory and RNN and NPL fundamentals.

• Data Optimization – Capstone Project (Internship) o Problem: Performance tuning for integration bottlenecks o Solution: Identified and documented the bottlenecks Used SSIS packages to create parallel computing o Result: Optimized performance from 14 mins to 2 mins.

• Real time Insurance Claims Pricing Prediction – Capstone Project for Launch Consulting (Currently working on) o Data pre processing and data exploration using R o Building multiple predictive models using tools such as Amazon Sagemaker, S3 buckets, Snowflake etc. Experience

TradeStation – June 2020 to August 2020 (Richardson, TX) Data Engineering Intern

• Update a data warehouse containing information that supports operations and data analysis using SQL server.

• Create stored procedures that provided reports for specific departments

• Worked on data catalog project using tools and engine such as Python, SQL, Amundsen, Neo4j, and Docker Greystar – June 2019 to August 2019 (Las Colinas, TX) Business Intelligence/Data Analyst Intern

• Generated reports for departments using complex SQL queries and Power BI

• Participate in the analysis, testing and deployment of application upgrades to third party developed systems. Bachelor of Science in Data Science, Minor in Mathematics Fall 2018- Fall 2020

Major GPA: 3.600