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Hello, I am Saurabh šŸ‘‹

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Thanks for stopping by. Here's a little bit about myself...

  • šŸ˜„ My pronouns are: He/His/Him
  • šŸ”­ Iā€™m currently working as a Data Engineer - Graduate Assistant at University of South Florida
  • About me:
    • Data-Driven Problem Solver with Expertise in Data Pipelines, Scalable Infrastructure, and Cloud Computing

    • A seasoned data professional with over four years of experience harnessing the power of data to drive business growth and optimize operations. Proven expertise in designing, building, and maintaining data pipelines, ensuring seamless data flow from disparate sources to centralized repositories. Adept at leveraging cloud computing platforms to create scalable and cost-effective data infrastructure.

    • Possesses a strong foundation in data warehousing, data lakes, and cloud computing platforms, including AWS, Azure, and GCP. Proficient in utilizing various programming languages, such as Python, Java, C#, and R, to extract, transform, and load (ETL/ELT) data.

    • Passionately driven by the transformative potential of data to solve real-world problems and make informed decisions. Demonstrates a keen eye for identifying valuable patterns and trends within complex datasets.

    • Experienced in collaborating with cross-functional teams, including data scientists, business analysts, and software engineers, to achieve organizational goals. Effectively communicates technical concepts to non-technical stakeholders, ensuring alignment and understanding.

    • Eager to contribute to projects that utilize data to improve people's lives and make a positive impact on society.

    • Available for internship and full-time roles, including remote positions.

šŸŽ“ Education:

šŸš€ Professional Experience:

šŸ”§ Technical Stack:

  • Languages: Python, R, C#, Java, C++, JavaScript, Angular, HTML/CSS, Scala, PySpark
  • Databases: MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra, BigQuery
  • ETL/Big Data: Apache Kafka, Informatica, Apache Hadoop, Apache Airflow, MapReduce, Databricks, ElasticSearch, SSIS
  • Cloud /DevOps: Linux, Jenkins, Docker, Kubernetes, Google Cloud Platform, AWS, Microsoft Azure
  • Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake, ETL, Data Modeling, Data Pipeline
  • Framework and Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, NLTK, PyTorch, Tensorflow and Keras
  • Tools and Services: Tableau, Power BI, Postman, Git, Jira, SAS

Saurabh Verma's Projects

codeforgood-annadhan icon codeforgood-annadhan

An Android application which allows donors to donate their leftover food to volunteers who further donate it to poor and needy people and an interactive website.

e-commerce icon e-commerce

An e-commerce website is one that allows people to buy and sell physical goods, services, and digital products over the internet rather than at a brick-and-mortar location. Through an e-commerce website, a business can process orders, accept payments, manage shipping and logistics, and provide customer service

getting-and-cleaning-data-project icon getting-and-cleaning-data-project

The purpose of this project is to demonstrate the ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.

hotel-review-analysis icon hotel-review-analysis

The project utilizes python to mine sentiment from over 21,000 hotel reviews on resorts located across the globe.

imverma icon imverma

Config files for my GitHub profile.

mastek-projectdeepblue icon mastek-projectdeepblue

A deep learning solution using Siamese networks to solve the problem of face verification for an NGO. This was part of a winning solution for a competition held by Mastek. Competition link -

twitter-sentiment-analysis icon twitter-sentiment-analysis

This is an entity-level sentiment analysis dataset of twitter. Given a message and an entity, the task is to judge the sentiment of the message about the entity. There are three classes in this dataset: Positive, Negative, Neutral and Irrelevant.

u-vote icon u-vote

Android app with Firebase, and used Encryption by AWS for registering votes, implemented Facial Recognition algorithm using OpenCV

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