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  • $35 hourly

    • 5.0/5
    • (16 jobs)
    Tools of choice: Python (Pandas, PyPlot, Re) What you can expect? 1. Exploratory Data Analysis and Data Mining Finding the number of occurrences, hidden correlations in a large (1+GB) numerical dataset. You can expect a report summarizing the results of the analysis with cool visuals generated with Matplotlib. The typical Data Mining Report will be divided 3 sections: - Description of the dataset - Analysis - Summary The analysis can be a simple statistical analysis (quartiles, frequencies) and advanced (fitting financial/physical models to data) and explaining the differences. Data Mining in science was very often connected with image processing. After processing 3+GB of images the data was analyzed for correlations and fundamental statistics were calculated (mode, standard deviation, quartiles, shape of the distributions). For multivariable data heat maps were drawn to better highlight the position of maximum density of data points. 2. Build Machine Learning models A Python script that takes your data and learns how to predict the result for future data to come. The simplest ones are linear and logistic regressions. Slightly more advanced include e.g. Random Forest Regressors. Nano- and microcomposites, which I researched, showed properties with very non-linear characteristics. Most often I worked with exponential decay, inverse square root, and occasionally with linear regression. 3. A/B testing Given 2+ sets of inputs (e.g. designs) and responses (e.g. revenue, # of returning users), I will analyze the data and tell you which solution is a better choice. I used A/B testing in scientific research for hypothesis verification. Given a significance level of alpha (usually 0.05) the p-value was calculated and it was assessed whether method A or method B produces better results, e.g. which growth conditions yielded a better crystal. 4. Extraction of data from websites (Requests, BeautifulSoup4, Selenium) If you have a public website you'd like to extract data for personal use, I can help you with that. I will deliver you the scraped data (e.g. in CSV format) or write a Python script that will Extract, Transform and Load the content for you. In my scientific career I used to write Web Scrapers to retrieve and analyze publication data (title, authors, affiliation, keywords, scientific field) using regular expressions, Pandas and Matplotlib
    vsuc_fltilesrefresh_TrophyIcon Exploratory Data Analysis
    Polish
    Data Analysis
    Cooking
    Materials Engineering
    Polish to English Translation
    Python
    Data Entry
  • $20 hourly

    • 5.0/5
    • (23 jobs)
    🌟 Empowering Change with Data-Driven Insights | Expert in Data Science, Python, R, and Machine Learning | 4+ Years of Impactful Experience 🌟 Welcome! I’m Muhammad Owais Khan, a seasoned Data Scientist and Analyst with over four years of professional experience in delivering high-quality data solutions. My journey has empowered numerous businesses to translate complex datasets into actionable insights and informed decision-making. 🌟 Professional Expertise 🌟 🌟 Data Analysis & Visualization: I am adept at turning raw data into visually compelling stories. Using advanced visualization libraries such as Python’s Matplotlib and Seaborn, and R’s ggplot2, I create insightful visuals that reveal trends, outliers, and patterns critical for informed decision-making. My expertise extends to creating dynamic dashboards in MS Excel, allowing for interactive data exploration and immediate insight generation. 🌟 Data Cleaning & Wrangling: I expertly preprocess data using the powerful Python library Pandas and R's dplyr to ensure accuracy and completeness. My methods include handling missing values through sophisticated imputation techniques, ensuring data normalization and standardization, and utilizing regular expressions for meticulous text data cleaning. This thorough preparation guarantees that datasets are primed for analysis and modeling. 🌟 Exploratory Data Analysis (EDA): I employ both statistical summaries and advanced visualization techniques to uncover hidden patterns and insights within the data. I utilize hypothesis testing, correlation analysis, and advanced analytics methods such as principal component analysis (PCA) and factor analysis to provide a deep understanding of the data, which supports subsequent predictive modeling and strategic business decisions. 🌟 Machine Learning Models: I build a range of machine learning models from supervised techniques like linear and logistic regression, support vector machines, and ensemble methods (random forests and gradient boosting machines) to unsupervised methods including k-means clustering and hierarchical clustering. My expertise in neural networks using TensorFlow and Keras supports applications in deep learning such as natural language processing and image recognition. 🌟 Statistical Analysis: I am skilled in applying various statistical tests and techniques, including ANOVA, chi-square tests, t-tests, and regression analysis to validate hypotheses and extract insights. Using statistical software like STATA and SPSS, I conduct complex data analysis and inferential statistical modeling, ensuring that findings are robust, statistically significant, and actionable. 🌟 Advanced Data Technologies: Proficient in SQL for data querying and manipulation, with familiarity in big data technologies like Apache Hadoop and Spark for processing voluminous datasets. My skill set also includes utilizing cloud platforms such as AWS and Google Cloud for scalable data analysis. 🌟 Tools & Technologies 🌟  Programming Languages: Proficient in Python and R.  Software: MS Excel, STATA, SPSS.  Libraries and Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn, Plotly, ggplot2, dplyr. 🌟 Proven Record of Strategic Impact 🌟 🏆 Notable Achievements:  Enhanced Data Precision: Leveraged advanced analytics, including machine learning algorithms and statistical techniques, to refine data quality across industries.  Decision Support: Utilized predictive modeling and sophisticated visualizations in Python and R, enhancing strategic business decisions.  Operational Efficiency: Innovated robust data management systems that streamline operations and maximize data utility. 🌟 Versatile Industry Experience 🌟 My expertise spans across education, finance, healthcare, and retail sectors, enabling me to adapt and address unique data-related challenges effectively, providing tailored and impactful big data solutions. 🌟 Showcase of Signature Projects 🌟  Retail Sales Forecasting: Developed a predictive model using Python & R Studio, integrating time series analysis and regression models to set new benchmarks in strategic planning.  Healthcare Analytics: Leveraged machine learning models and statistical analysis in SPSS and Python to uncover pivotal trends that enhance service delivery and patient care.  Data Visualization Mastery: Crafted impactful visual narratives for executive decision-making, utilizing advanced tools like R, Python, Sigma Plot, and MS Excel. Invitation: If you are seeking a dedicated professional who can leverage your data to unlock powerful business opportunities, invite me to your job. Together, we can clarify complex data, streamline your operations, and propel your business to new heights. Let’s make your data work for you! **============================================**
    vsuc_fltilesrefresh_TrophyIcon Exploratory Data Analysis
    Data Wrangling
    Principal Component Analysis
    Data Entry
    Data Processing
    Data Collection
    Data Science
    Data Analytics
    Microsoft Excel
    Data Analysis
    Data Visualization
    Stata
    IBM SPSS
    R
    Python
  • $30 hourly

    • 4.9/5
    • (13 jobs)
    Bioinformatician and data comprehension enthusiast with string python experience. Main area of my expertise is statistics, proteomics, genomics and artificial intelligence AI / machine learning ML.
    vsuc_fltilesrefresh_TrophyIcon Exploratory Data Analysis
    Deep Neural Network
    Large Language Model
    Drug Discovery
    Genomics
    Biostatistics
    Data Analysis
    Bioinformatics
    Statistical Analysis
    Data Visualization
    Python
    Machine Learning
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