Need help in Big data analytics

Hi there, I am a databricks certified assoiciate developer for spark 2.4 - Pyspark. My credential url is [login to view URL] I understand that you need to create/visualize your datasets using spark sql and Pyspark and also perform some descriptive/inferential statistical testing on your data. I am a data scientist with 4 years of experience. I believe that I will be the right candidate for this job. Please feel free to reach out if you have any questions Regards, Raj Kothari

Hi, I'm a data scientist with over 5 years of experience building Data Science and Machine Learning systems. I hold a Master's degree in Data Science from Trinity College Dublin and a Bachelor's degree in Computer Science. Currently working as a data scientist for a Multi-National Bank here in Dublin, Ireland. I am pretty sure that I have enough knowledge and understanding to complete this job within the given timeframe. Moreover, I'm currently utilizing the pyspark ML libraries and hence suitable for this task. Feel free to PM for a further discussion. Thanks, Tousif

I am PhD scholar of computer science and professional data analyst in python and spark SQL. I study your project and hopefully can do it perfectly

Hi Hiring manager I am Data Scientist/DataOps with GCP/AWS and ETL expertise I am a 8 years experience Data sciense/analytics. I'm able build data pipelines on any cloud platform or even on promise. Experienced Python developer (also proficient in Typescript, R, SQL) with a data science background, experienced in building batch and streaming data pipelines, infrastructures, and bringing machine learning models to production. Familiar with common data tech stacks, architecture design, DevOps, and ML (Data Science) including Airflow, Kafka, Hadoop, PySpark, Kubernetes, AWS, Google Cloud Platform. The different services I can provide are the following. -Machine learning / Deep learning algorithms - Database migration (BigQuery, Redshift, Postgres, MySQL, etc). - Datawarouse architecture. - ETL developments (Python, Scala, Spark). - Data pipelines architecture and deployments (airflow, Kubernetes). - Applications containerization (Docker, Kubernetes) - Big data processing using Spark Scala - Building large Scale ETL - Could Management - Distributed platform development - Machine learning - Python Programming - Algorithm Development - Data Conversion (Excel to CSV, PDF to Excel, CSV to Excel, Audio) - Data Mining - Data extraction - ETL Data Transformation - Data Cleansing - OCR (Optical Character Recognition w/ Tesseract) - Linux Server Administration - Anaconda Python / Conda / Miniconda Administration - LXC/LXD Virtualization / Linux Containers Thanks