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adzict/README.md

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Hi there, I'm Tanja

About me

Passionate about leveraging data to make a positive impact, I am a Data Scientist with a track record of client-oriented contracts, specializing in prediction and forecasting, data analysis, and proficient database handling. Integrating hands-on experience from various client projects, I have also had the privilege of working with seasoned data science mentors who guided me through various projects.

Besides client contracts, I am currently taking the initiative to create and deploy a test version of a data-driven application in Python, addressing the specific needs of a Mental Health Business in Serbia. This independent project showcases my proactive approach to applying my skills in real-world scenarios. My dedication to professional growth has led me to transition into a data engineering career, actively learning about ETL and ELT processes, mastering Data Pipelines, and exploring tools like Spark and Airflow. I am excited about the prospect of contributing my diverse skill set to further advance your organization's data initiatives. Building on my strong foundation in Python and SQL, I am well-equipped to tackle complex challenges and drive innovative solutions.

My projects

Projects I am currently working on

  • ETL and ELT Project
  • Data Pipeline from Web Scraping to Data Analytics Dashboard

Connect with me:

website website    website website    website website

My 2024 Goals

  • Work in an awesome team as a Data Engineer
  • Deliver outstanding performance using Data Engineering tools such as SQL, Spark, Kafka, Airflow, NoSQL
  • Get AWS certified as a Data Engineer Associate
  • Create and deploy a test version of a data-driven application in Python that handles all needs of a Mental Health Business in Serbia

Latest Blogs

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  1. box_office_determinants box_office_determinants Public

    Mentorship Project aimed to determine strategy recommendations for a movie studio

    Jupyter Notebook

  2. yelp_sentiment_analysis yelp_sentiment_analysis Public

    Predicting the sentiment of a Yelp review, and make actionable recommendations to businesses that will help them understand customer needs, and monitor customer feedback.

    Jupyter Notebook 1 1

  3. instacart_data_exploration instacart_data_exploration Public

    This project is aimed at answering the "What is in your basket?" question by performing Data Exploration techniques

    Jupyter Notebook

  4. data_science_salaries data_science_salaries Public

    This Streamlit app allows you to explore salaries in the data science domain based on user input. It is designed to help you understand how different factors, such as location, experience, and empl…

    Jupyter Notebook 1

  5. online_retail_customer_segmentation online_retail_customer_segmentation Public

    Identifying customer segments based on their purchasing behavior using RFM analysis and K-Means clustering.

    HTML 1

  6. sms_spam_classification sms_spam_classification Public

    The SMS Spam Collection is a public set of SMS labeled messages that have been collected for mobile phone spam research.

    Jupyter Notebook