Data Engineer with Machine learning and Python
UST/Anthem
3days onsite Atlanta, GA.
Data Visualization: Creating visual representations of data to extract insights and communicate findings effectively.
Predictive Analysis: Analyzing historical data to make predictions about future outcomes.
Statistical Modeling: Building mathematical models to analyze relationships within data.
Data Preprocessing: Cleaning, transforming, and preparing data for analysis.
Clustering and Classification: Grouping data points into clusters or assigning them to predefined classes.
Time Series Analysis and Forecasting: Analyzing time-dependent data and making predictions about future values.
Machine Learning: Designing and implementing algorithms that enable computers to learn from data.
Deep Learning Algorithms: Utilizing neural networks with multiple layers to solve complex problems.
Python Packages:
Pandas: For data manipulation and analysis.
Numpy: For numerical computing with arrays and matrices.
Matplotlib: For creating static, interactive, and animated visualizations in Python.
Scikit-Learn: For machine learning algorithms and tools.
Scipy: For scientific computing and advanced mathematics.
Spacy: For natural language processing (NLP) tasks.
TensorFlow: For building and training deep learning models.
PySpark: For working with big data and distributed computing using Apache Spark with Python.
Thanks & Regards
Karthik Yalamanchili| Technical Recruiter
HCL Global Systems, Inc
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