During the winter semester 2018/2019 (from November 2018 to January 2019) I lectured at the course "Introduction to Statistics in R" at the Faculty of Philosophy, University of Novi Sad, Serbia. On this page you can find codes used at the course, contact me for handouts, presentations and data sets.

Data associated with properties (real estate) rom heterogenous sources is integrated to get a sense of the information as a whole.

ADVANCE JAVASCRIPT PROJECT 1

Aceleracao PySpark Capgemini 2022

This is Streamlit app that gives an overview for a dataset you upload

Amazon SP Catalog ETL

Scalable and efficient LCH CDS pricing data scraper with Docker support, enabling streamlined ETL processes to MSSQL database. Designed for robust performance with advanced error handling.

Shell Scripting, Data Transformation, Data Cleansing | Data Engineer Project-Based Internship | Kalbe Nutritionals

This project is done as part of Codebasics Data Analyst Bootcamp

A Udacity Power BI project on an online clothing store

This interactive HR Analytics Dashboard provides a dynamic view of employee turnover across various departments, job roles, demographics, and salary.

Learn to use the db platform professionally through the creation of an exhaustive, real-world, hands-on dbt covering both Theory and Practice

Built a Visual Dashboard for communicating information to stakeholders using Python libraries (Pandas, Seaborn and Numpy)

I have loaded, cleaned, and visualized scraped Google Play Store data to understand the Android app market.

👨‍💼 Personal resume

Exploring the legacy of Walt Disney Studios, this project dives into a dataset of 579 films dating back to the inaugural "Snow White and the Seven Dwarfs" in 1937. Our analysis aims to uncover the factors contributing to the success of Disney movies, utilizing data compiled by Kelly Garrett.

This project entails migrating and transforming data, with a key focus on extracting data, storing it in AWS, and then pushing it to a database table.

This script analyses the relationship between the Human Development Index (HDI), population, and non-religious groups in various countries. Plots visualise relationships between HDI, population, and non-religious groups and using scatterplots and a linear regression model to predict.

Enhance organizational transparency by indexing structured Markdown files into Excel & API queryable views, enabling detailed tracking such as membership or grant usage through transactional records, while maintaining data in a version-controlled, queryable system.