full-stack data scientist

As a seasoned full-stack data scientist, I'm passionate about harnessing the power of data to drive impactful solutions. With expertise spanning data acquisition, preprocessing, modeling, and deployment, I have the ability to handle the entire data science stack. Equipped with a strong foundation in statistics, machine learning, and programming, I excel at extracting valuable insights from complex datasets. My holistic approach enables me to bridge the gap between data engineering and data analysis, ensuring seamless integration and actionable results. With a relentless curiosity and a drive for innovation, I'm dedicated to transforming data into meaningful decisions. Let's collaborate and unlock the full potential of your data-driven endeavors.

Work Terms

/Goldman/ /sachs,/ /inc/
Data science and Machine Learning summer analysis, security Division
°Utilize python to implement unsupervised machine learning techniques for time series anomaly on 3TB of unsupervised data, which reduce total process by 20%
°Wrangling 10TB of trading data stored in Hadoop distributed file system using python to remodel and visualize 16 previously inaccessible data set to allow 500+ end clients to track impact on liquidity.
°Presented results to team's global head and wrote requested executive summary details value proposition and strategy to present to clients and senior leadership.
Ontario intuition of cancer
/Junior data scientist/
°Utilizing python and R on high performance computing Linux cluster to discover 3 new cancer mutation.
°Publication: Huang T, Reimand J, Network - rewiring mutation in Kanaso signating network are information of cancer patients survival in preparation.
°Publication: Krassowski M, Paezkowska M, Cullion K, Huang T, et al.
Active Driver DB; human disease mutation and genome variations in post - translation site of protein, Nuclear Acid Res. 2017 doi:10.1093 / nar / gkx97