- build quant research report focus on centralized and decentralized exchange leveraging python,SQL and cloud technology

well-known ETF fund New York | Python - Led client engagement and complex data/ML pipeline work - Customer User behavior analysis on recommending best-ETF to clients. - Build AI recommendation engine to suggest investment strategy to users. US Financial Broker - SQL | Python - Built data pipeline and API for address verification ( ~20M records) and successfully identify 95% of the missing address. - Software Development by applying Object-Oriented Design and pythonic way (pandas) of programming.

Client projects:Accenture AI Hackathon | TensorFlow (Keras) - Used LSTM (long-short recurrent NN) to build the model for time series data. - Predict each country's CO2 emissions based on various energy consumption information.Verizon | Oracle SQL | Python June 2018 - Present - Used Oracle database/python to conduct in-depth, complex data analysis on national Verizon 5G sites’ built-progress. - Built data report for Verizon oneFiber executive board that includes vendor tracking report, sites/ segment progress.Accenture AI team | AWS Rekognition, Lambda, S3 | Python Jan 2018 - March 2018 - Worked as python developer to build AWS-based machine learning product. - Created a sentimental/engagement analysis tool that can analyze an individual’s emotion for real-time analysis by using Python, AWS services. - Used image coordinate and facial attributes data from conference participants to build real-time population heatmap and other applications. Healthcare Insurance - Aetna | Python, Spark, Hive Aug 2017 - Dec 2017 - Built data pipeline with Spark (pyspark) which automatically queries provider information and updates the existing distributed database stored in Hadoop. - Conduct Natural Language Processing on provider information (Nam Entity Recognition). Injury Prediction - Wisconsin Transportation Dept | Python Aug 2017- Dec 2017 - Created a ML model (Neural Network & Polynomial Logistic Regression) to predict potential Highway injuries based on road conditions and other factors. - Queried, analyzed and visualized the transportation information to find predictive patterns across types of accidents, locations and weather conditions.

-Manipulate and analyze Electronic Medical Records in GE Centricty and IBM Explorys datasets specifically focused on Diabetes Population (around 4 millions patients).-Design a model to classify Type I & Type II diabetes patients by selecting significant factors (prescription, age, location) and suitable ML model (RandomForest, KNN, logistic)