💻 I'm a Reporting Analyst working at 24HR Home Care. I have 5 years' experience in data reporting, analytics, and data integration.
I now work on a Master of Information and Data Science program from University of California, Berkeley](https://ischoolonline.berkeley.edu/data-science/)
I graduated from University of Pittsburgh with a MS in Information Systems in 2018.

• 🌱 I’m actively learning

  • Data engineering
  • Machine Learning DevOps

• 📷 I start Vlog this year, Check out my Ytube Channel
  

• 🥅 2022 Goals: Graduate from MIDS program

• 🚀 I like SpaceX

• 📝 Please have a look at my Résumé for more about me

• Programmning
  • Python | R

• Frameworks & Libraries

  • Pandas | Numpy | ggplot2 | Tensorflow | Keras | Sk-learn

• Data Visulizations

  • Tableau | Power Bi | D3 | Plotly | Altair

• DevOps

  • Azure | Docker | Kubenetes | Spark

• Data Science + Machine Learning

  • Predicting Carrying Capacity from Rangeland Photography in Rural Africa use deep learning and inference on Edge Jetson Nano device + Demo + Deck-
  • HOUSING PRICES – AMES, IOWA in Python from Data Ingestion to Model Evaluation
  • New York's Taxi Cabs Slow Down Amid Covid Pandemic
  • Zillow Home Value Predciton in Python use Regression Models including Linear Regression + Regression Trees + Bagging and Random Forest

• Spark + Hadoop

  • Use Pyspark.RamdomForestClassfier to identify pasengers with high upsell possibility
    
    
    
    

• Data Visualization

  • Use Gun Violence Archive dateset tp Explore data available relating to gun violence in America. Use Altair to visulize and Flask + python to deploy on Berkeley Ischool server.

• AWS Deepracer League July Qualifier 2022 10% + Pro
• Tableau Desktop Certified Associate, 2019
• Academy Accreditation - Databricks Lakehouse Fundamentals, 2022
• IBM AI Engineering Professional Certificate, 2020
• Certified Associate in Project Management, 2018
• Google IT Support Pro Certificate, 2019
• UCLA Certificate in Cybersecurity, 2019

• Deep Learning in the Cloud and at the Edge: Learned how to transfer learning in Cloud(AWS) and inference on Nvidia Jetson Nano edge device.
• Machine Learning Systems Engineering: Learn the Containers, cloud, and Kubernetes ecosystems, plus CI/CD, the process of deploy a deep learning model and create API endpoints.
• Data Visualization: Learned to use JS/d3, Tableau, Python/Altair