• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• 1099-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 11th Apr 2024

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.