Full Stack Developer - AI and Data Scientist

Summary

I am practicing my skills with managing and manipulating Big Data (with Hadoop) and Machine Learning techniques (with Python and R). As part of my graduate courses, I have been working extensively in the field of data science for my academic courses and projects. My resources, including my professors, classmates, books, and the internet, have taught me the fundamentals of Python and R programming.

Technologies: Python, Java, R, Hadoop, Big Data Technologies, Spark, AWS, Docker, Heroku, SQL, Linux, bash.

Libraries: NumPy, Pandas, Scikit-Learn, TensorFlow, Beautiful Soup, PySpark, Matplotlib, Seaborn, Plotly Dash, Flask, Folium, SimPy, NLTK, Vader, TextBlob, Bokeh, WordCloud

Databases: MySQL, Oracle, Netezza, DynamoDB, Mongo

Tools: Tableau, Excel, PowerBI, Jupyter Notebook, Anaconda, Google Colab, R studio, Julia, Git, Microsoft Office 365

Analytical Software: Knime, Wordij, Gephi, and Rattle in R

Machine Learning Models: Decision Trees, Random Forest, Linear Regression, Logistic Regression, K-means

Techniques:
EDA
Data Visualization,
Supervised Learning
Unsupervised Learning
Image Analysis and Classification
Web Scraping
Google Analytics
Data Cleaning
Data Mining
Social Media Analysis
Full Stack Dashboard Development

Expectations

Looking for something challenging and a great learning position

Employment Preferences

Expected Base Salary

*,*00,000 USD

Academic Degree

Experience

Skills

• I Am Practicing My Skills With Managing
• Manipulating Big Data
• With Hadoop
• Machine Learning Techniques
• With Python
• R
• As Part
• My Graduate Courses
• I Have Been Working Extensively In The Field
• Data Science For My Academic Courses
• Projects. My Resources
• Including My Professors
• Classmates
• Books
• The Internet
• Have Taught Me The Fundamentals
• Python
• R Programming.
• Technologies
• Java
• Hadoop
• Big Data Technologies
• Spark
• AWS
• Docker
• Heroku
• SQL
• Linux
• Bash.
• Libraries
• NumPy
• Pandas
• Scikit-Learn
• TensorFlow
• Beautiful Soup
• PySpark
• Matplotlib
• Seaborn
• Plotly Dash
• Flask
• Folium
• SimPy
• NLTK
• Vader
• TextBlob
• Bokeh
• WordCloud
• Databases
• MySQL
• Oracle
• Netezza
• DynamoDB
• Mongo
• Tools
• Tableau
• Excel
• PowerBI
• Jupyter Notebook
• Anaconda
• Google Colab
• R Studio
• Julia
• Git
• Microsoft Office 365
• Analytical Software
• Knime
• Wordij
• Gephi
• Rattle In R
• Machine Learning Models
• Decision Trees
• Random Forest
• Linear Regression
• Logistic Regression
• K-means
• Techniques
• EDA
• Data Visualization
• Supervised Learning
• Unsupervised Learning
• Image Analysis
• Classification
• Web Scraping
• Google Analytics
• Data Cleaning
• Data Mining
• Social Media Analysis
• Full Stack Dashboard Development