Skip to content
View phanee16's full-sized avatar
🎯
"Embracing the data-driven revolution and shaping the future! 🌌"
🎯
"Embracing the data-driven revolution and shaping the future! 🌌"
3 followers · 2 following
Block or Report

Block or report phanee16

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
phanee16/README.md

"🚀 Want to know more about my expertise? 🕵️‍♂️ Take a deeper dive into my profile and discover the realm of my skills and experiences. 🌟"

🔗 Connect with Me

Medium Gmail LinkedIn Hackerrank LeetCode

🎓 Education

  • Master of Science in Data Science, University at Buffalo (2023)
    • Relevant coursework: Machine Learning, Big Data Analytics, Data Visualization

💼 Recent Work Experience

Data Scientist-Team Lead, Community Dreams Foundation, USA (Volunteer) Jul 2023 - Present

  • Led a dynamic team of data analysts, leveraging computer vision techniques for in-depth energy data analysis.
  • Established an efficient and scalable database infrastructure, integrating web scraping for real-time data acquisition.
  • Applied advanced statistical models, data visualization, and computer vision to uncover intricate patterns and trends.
  • Pioneered a customized chatbot using cutting-edge Large Language Model (LLM) technology for personalized interactions.
  • Collaborated with experts and community partners to translate data insights into sustainable energy strategies.
  • Building a GCP-based database, creating Power BI and Tableau dashboards for data analysis.
  • Developing a recommendation engine for personalized incentives and integrating Langchain technology.

🎯 Hobbies and Interests

  • Cooking
  • River Rafting
  • Ice Skating
  • Kayaking
  • Painting
  • Mobile games

💻 Technical Skills

👨‍💻 Programming Languages

Python R Java C SQL HTML/CSS MATLAB

💾 Databases

MySQL MongoDB

🛠️ Tools

Tableau Excel GCP Stack Apache Spark Jupyter Notebooks Git Jenkins Docker Kubernetes Apache Airflow

🔨 Frameworks

Flask Keras TensorFlow Scikit-learn Streamlit Numpy Pandas

📊 Data Science Libraries

Scikit-Learn Folium Geo-Py Image Io OpenStreetMap API Google Colab Caret GGplot2 Random Forest GBM XGBoost AdaBoost PyTorch Matplotlib Gym

⚙️ Data Engineering Tools

Apache Airflow Bash Apache Kafka Zookeeper Simulators DAG’s PySpark IBM Watson GitHub

☁️ Cloud and Analytics Platforms

Google Cloud Platform (GCP) BigQuery Looker Studio

Pinned

  1. OptiRoute-Dynamic-TSP-Solver OptiRoute-Dynamic-TSP-Solver Public template

    "Using the nearest neighbors algorithm and folium mapping, we solved the Traveling Salesman Problem and visualized the optimal tour on a geographical map."

    Jupyter Notebook 2

  2. Enhancing-Gaming-with-SARSA-Algorithm-Grid-based-Reinforcement-Learning Enhancing-Gaming-with-SARSA-Algorithm-Grid-based-Reinforcement-Learning Public

    The project is about teaching an agent to navigate a grid environment using reinforcement learning and SARSA algorithm, with rewards and penalties for reaching certain positions and colliding with …

    Jupyter Notebook 1

  3. Crime-Data-Analysis Crime-Data-Analysis Public

    Crime is an integral aspect of our society; whether as a victim or an offender, everyone has been witness to a crime. In our project, we analyzed crime data, and I have chosen the "Chicago Criminal…

    1

  4. phanee16.github.io phanee16.github.io Public

    Website Portfolio

    HTML 2

  5. -Comparative-Analysis-of-Boosting-Algorithms-for-Autism-Detection-using-Genome-Data- -Comparative-Analysis-of-Boosting-Algorithms-for-Autism-Detection-using-Genome-Data- Public

    This project involves analyzing genome data to identify genetic variations associated with autism and using machine learning algorithms such as random forest, GBM, Adaboost, and XGBoost to detect a…

    R 1

  6. -Web-Application-for-Analyzing-NYC-Collision-Data- -Web-Application-for-Analyzing-NYC-Collision-Data- Public

    Using Python, Streamlit, PyDeck, and GCP, we created a web app for analyzing NYC collision data. We extracted data from NYC Open Data, analyzed it with BigQuery, and visualized results with Looker …

    Python 1