I am a data scientist with +8years of experience. I hold a BSc in machine learning and AI and a MSc in Machine learning and AI both from the Universities of Moi and Liverpool John moore. Am new in Upwork am looking for clients to hire me for one project that helps them get to know how I work, and create the start of a long term work relation. Expect integrity, fluid communication in English, technical proficiency and long term support. Below are some of the common task I'm consulted with: - Time series forecasting - Quantitative Finance - Machine learning for trading - Machine learning for Marketing use cases - Exploratory data analysis, Statistics - Data visualization using python Jupyter Notebooks - Hypothesis Testing - Automated A/B testing - Deep learning in general - computer vision Languages - Python (6 years) C++(2years) ,java(2years) , - libraries (keras, tensorflow, pytorch, numpy, scikit-learn, pandas, opencv, spacy) - SQL (6 years)
✓My Expertises;
•Understand the wide spectrum of problem statements, tasks, and solutionapproaches within data analysis.
•I have experience in implementing and evaluating different data analysis applications and applying big data analysis using Hadoop and pyspark methods for this process.
•Finetune an data analysis solution based on the business problem and industry vertical.
•Evaluate various algorithms and approaches for the given task, dataset, and stage of the data analysis product.
•Plan the lifecycle of the data analysis product and produce software solutions following
best practices around release, deployment, and DevOps for data systems.
✓PROFESSIONAL EXPERIENCE
/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 / gkx972