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🎯
"Embracing the data-driven revolution and shaping the future! 🌌"
🎯
"Embracing the data-driven revolution and shaping the future! 🌌"
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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 Loading

  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