Hire the best Ggplot2 Specialists in California

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  • $169 hourly
    Professional Summary With a deep specialization in natural language processing, I am an experienced AI & Machine Learning Engineer and Educator in the technology and education sectors. My commitment to lifelong learning is a testament to my dedication and passion for staying at the forefront of AI research and applications, constantly updating my skills and knowledge to adapt to the rapidly evolving field. Technical Skills • Programming Languages: Python, R, SQL • Machine Learning/Deep Learning Libraries: TensorFlow, PyTorch, Keras, Scikit-Learn, XGBoost, LightGBM • Data Manipulation/Analysis Tools: Pandas, NumPy, dplyr, data.table • Data Visualization Tools: Matplotlib, Seaborn, Tableau, PowerBI, Plotly • Big Data Technologies: Hadoop, Apache Spark, AWS Redshift, Google BigQuery • Web Development: Streamlit, Flask, Django, HTML, CSS, JavaScript • Cloud Platforms: AWS, Azure, Google Cloud Platform, Docker, Kubernetes • Development Tools: GitHub, Git, Jupyter Notebook, R Studio • GIS Tools: ArcGIS, QGIS Additional Projects • Volcano Monitoring Machine Learning Project: Developed a machine learning model to predict volcanic eruptions using sensor data. Preprocessed time-series sensor data, including normalization and handling of missing values. Extracted relevant features from the time-series data significantly impacting volcanic activity predictions. Experimented with various machine learning algorithms, including SVM and neural networks, to identify the best performer. Implemented a real-time data processing pipeline that ingests sensor data continuously. Validated the model using a split-test approach and adjusted parameters to improve accuracy. Built visualizations to depict the prediction accuracy and feature importance, aiding in interpretability. • AI for Affordability of Oncology Immunotherapy Treatment: Contributed to an AI solution that predicts the Time To Next Treatment (TTNT) curve for oncology patients, aiding in personalized treatment planning. Collaborated with Mango Sciences and a diverse team to develop a predictive model and an interactive dashboard. The model enhances decision-making processes in treatment affordability and clinical pathways for immunotherapy. • AI-Driven Pool Management System: Develop an intelligent system for monitoring and controlling swimming pool environments. Automate management of pH levels, chlorine content, temperature, and overall water quality using AutoML tools. Install necessary Python libraries such as sklearn, seaborn, pandas-profiling, and AutoML tools like pycaret, h2o, and tpot. Import libraries and set up data frames for loading historical data on chemical levels and temperature. Clean and prepare data by removing outliers and ensuring data quality. Perform feature engineering and exploratory data analysis. Use various AutoML tools to test different AI models. Evaluate models based on metrics like mean absolute error (MAE) and accuracy to identify the most effective one. Reduce manual labor and enhance maintenance efficiency. Improve water quality and ensure safety. Facilitate the development and deployment of AI models for sustainable and cost-effective pool management solutions. • Price Prediction for Airbnb LA Mayflower Village: Boost predictive analytics capabilities to forecast key business metrics. Compiled extensive datasets from internal sales systems, customer feedback, and market analysis reports into a unified data repository. Performed exploratory analysis to discover patterns, anomalies, and correlations among data variables. Used Python tools like Seaborn and Matplotlib to create visual representations for effective stakeholder communication. Developed and refined features focusing on customer demographics, purchase history, and seasonal trends. Applied PCA to reduce the number of variables, enhancing model efficiency. Tested machine learning algorithms, including Random Forest, SVM, and neural networks, to identify the best predictive model. Used grid search and cross-validation to fine-tune models for optimal accuracy and reduced overfitting. Measured model performance using RMSE and MAE on a validation dataset. Conducted A/B testing to assess model effectiveness in real business settings. Integrated the finalized models into the production environment, linking them with business intelligence tools. Established a real-time dashboard to monitor model performance and its impact on business decisions. Set up a feedback loop with business units for continuous model refinement. Planned periodic updates to modeling techniques considering new data science advancements and market condition shifts.
    vsuc_fltilesrefresh_TrophyIcon Ggplot2
    BigQuery
    PySpark
    Microsoft Power BI Data Visualization
    Streamlit
    ArcGIS
    ggplot2
    Tableau
    Azure Machine Learning
    Amazon SageMaker
    XGBoost
    TensorFlow
    PyTorch
    Python Scikit-Learn
    Python
    SQL
  • $40 hourly
    I am excited to share my passion for technology, data analysis, and research. I am well-equipped to make a meaningful contribution to your project. Working with you will be an honor. I am confident that I can bring valuable insights and make significant contributions to our partnership.
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    Coding Lesson
    ggplot2
    Politics
    Research Methods
    Political Science
    Research & Strategy
    Research & Development
    Statistical Computing
    Data Cleaning
    Data Analytics & Visualization Software
    Microsoft Excel
    Statistical Analysis
    R
    Data Analysis
  • $99 hourly
    Are you looking for someone to convert real-life situations into math equations? Maybe you need to dig into some data to find valuable patterns, or you’re fine-tuning your machine learning algorithm or figuring out how to tune your neural network -- I can help! My motto is “Theory works well in theory, and practical solutions performs better in practice”. I can do both. My job is to listen to your needs and figure out what is the best approach for your project. Here go my skills: machine learning and statistics (in Python+Jupyter notebook, R, RStudio, Shiny, data mining with SQL queries or stored procedures), in combination with my knowledge of many math areas (Algebra, Geometry, Discrete Math, Trigonometry, Calculus, Business Calculus, Statistics, Linear Algebra, Differential Equations and many more). I will build a custom program to help solve your problem! If you’d like to see my projects as evidence of my claims, I am happy to provide links to my Github, my blog and my Shiny apps.
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    Data Segmentation
    ggplot2
    RStudio
    LaTeX
    Statistics
    Tutoring
    R Shiny
    Mathematics
    TensorFlow
    Data Science
    NumPy
    R
    Python
    Keras
    Machine Learning
  • $40 hourly
    Accomplished market research professional with 7+ years experience leading, developing, designing and executing qualitative and quantitative primary research studies using a broad array of methodologies.
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    Python
    D3.js
    Matplotlib
    Dygram
    ggplot2
    Tableau
    R
  • $120 hourly
    Creative Life Scientist, with writing and data analytics experience. Deep knowledge of human neurological diseases. Experienced at translating complex scientific concepts and problems into digestible information.
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    ggplot2
    RStudio
    Presentation Design
    Science Tutoring
    Neuroscience
    Molecular Biology
    Genetics
    Research Protocols
    Scientific Writing
    Grant Writing
    Science & Medical Translation
    Tableau
    Amazon Web Services
    Research & Strategy
    Data Analysis
    Biochemistry
    Research & Development
    Data Visualization
    Scientific Research
  • $23 hourly
    Data Analyst | Statistical Researcher | Insights Creator I specialize in transforming data into actionable insights, using tools like R, SQL, Excel, and Tableau to uncover patterns and tell compelling stories. With a strong foundation in statistical analysis and a proven track record in data-driven decision-making, I thrive on solving complex problems and presenting findings in a clear, impactful way. Highlights: Statistical Expertise: Proficient in hypothesis testing, PCA, regression analysis, and clustering to extract valuable insights. Data Preparation: Skilled in ETL processes, ensuring data integrity and readiness for analysis. Survey Design & Analysis: Designed and analyzed large-scale surveys, leveraging tools like SPSS & R Studio to derive actionable results. Text & Sentiment Analysis: Experienced in analyzing Yelp reviews to reveal customer sentiment patterns and improve business outcomes. Versatility Across Projects: From developing restaurant evaluation tools to conducting market research on the impact of advertising, I adapt to diverse datasets and business needs. I’m passionate about leveraging data to drive decisions, improve processes, and generate value. Whether it’s optimizing workflows or conducting in-depth statistical analysis, I bring enthusiasm and attention to detail to every project. Let’s collaborate to turn your data into your greatest asset!
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    Kaggle
    GitHub
    Jupyter Notebook
    Analytical Presentation
    Tableau
    BigQuery
    Data Visualization
    ggplot2
    Data Tokenization
    Natural Language Processing
    Data Extraction
    Data Mining
    Data Analysis
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