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Data Science

At JNL Technologies, we specialize in providing organizations with highly qualified data science professionals to drive actionable insights and fuel business growth. Our experts are proficient in a wide array of technologies, including Python, R, SQL, machine learning, deep learning, big data frameworks such as Hadoop and Spark, and advanced data visualization tools like Tableau and Power BI. By leveraging these technologies, our professionals empower businesses to uncover valuable insights from complex data, enhance decision-making processes, optimize performance, and accelerate innovation, ensuring a competitive edge in todayโ€™s data-driven market.

Data Science Skill Sets

Data Analysis & Visualization

Pandas, NumPy, Matplotlib, Seaborn, Plotly, ggplot2, dplyr, tidyr...

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Data Analysis & Visualization - Technologies/Concepts

Python Libraries - Pandas, NumPy, Matplotlib, Seaborn, Plotly

R Libraries - ggplot2, dplyr, tidyr, shiny,

Data Visualization Tools - Tableau, Power BI, QlikView

Machine Learning

Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, caret, randomForest, e1071...

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Machine Learning - Technologies/Concepts

Python Libraries - Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost

R Libraries - caret, randomForest, e1071

Automated Machine Learning (AutoML) - H2O.ai, Google AutoML, Azure AutoML

Deep Learning

TensorFlow, Keras, PyTorch, Google AI Platform, Azure Machine Learning...

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Deep Learning - Technologies/Concepts

Frameworks - TensorFlow, Keras, PyTorch

Platforms - Google AI Platform, Azure Machine Learning, AWS SageMaker

Big Data Technologies

Apache Hadoop, Apache Spark, Apache Flink, HDFS, Amazon S3, Google Cloud Storage...

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Big Data Technologies - Technologies/Concepts

Data Processing - Apache Hadoop, Apache Spark, Apache Flink

Data Storage - HDFS, Amazon S3, Google Cloud Storage

Data Warehousing - Snowflake, Google BigQuery, Amazon Redshift

Data Engineering

Apache NiFi, Talend, Informatica, Airflow, Luigi, Prefect, SQL (MySQL, PostgreSQL)...

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Data Engineering - Technologies/Concepts

ETL Tools - Apache NiFi, Talend, Informatica

Data Pipelines - Airflow, Luigi, Prefect

Databases - SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Cassandra, Redis)

Statistical Analysis

Tools - SAS, SPSS, STATA

Libraries - SciPy (Python), Statsmodels (Python), Rโ€™s built-in packages

Advanced Analytics

Predictive Analytics - Time Series Analysis, - Forecasting Models

Prescriptive Analytics - Optimization, - Simulation Modeling

Business Intelligence (BI) - Tableau, Power BI, Looker, Domo, Crystal Reports, Jaspersoft

Cloud Platforms

AWS (Amazon Web Services), Google Cloud Platform, Microsoft Azure, AWS Redshift, Google BigQuery...

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Cloud Platforms - Technologies/Concepts

Major Providers - AWS (Amazon Web Services), Google Cloud Platform, Microsoft Azure

Specialized Data Services - AWS Redshift, Google BigQuery, Azure Synapse Analytics

AI and NLP

NLTK, spaCy, Hugging Face Transformers, Google Cloud Natural Language, IBM Watson NLP...

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AI and NLP (Natural Language Processing)

Libraries and Frameworks - NLTK, spaCy, Hugging Face Transformers

Platforms - Google Cloud Natural Language, IBM Watson NLP, Azure Text Analytics

Data Acquisition

BeautifulSoup, Scrapy, APIs: RESTful APIs, SOAP, IoT Devices, MySQL, PostgreSQL...

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Data Acquisition - Technologies/Concepts

Data Collection Tools - Web Scraping: BeautifulSoup, Scrapy, APIs: RESTful APIs, SOAP, IoT Devices

Data Storage - Relational Databases: MySQL, PostgreSQL, NoSQL Databases: MongoDB, Cassandra, Cloud Storage: AWS S3, Google Cloud Storage