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)

The Data Science Internship repository is designed to provide hands-on experience with real-world data science projects. It includes a variety of projects focused on key aspects of data science such as data cleaning, exploratory data analysis, data visualization, feature engineering, and machine learning.

A package for defining (and performing) tabular-data transformations with JSON.

This repositories holds my solutions to challenges posted in Alteryx Community.

Predicts the risk of Cardiovascular disease among patients using Machine Learning and Deep Learning techniques. Data Mining techniques are used to extract and analyse the information from the clinical records of the patient.

Third Assignment for MLG382, Third Year Machine Learning

This project automates the extraction of unstructured financial news from HTML into structured data using BeautifulSoup. The focus is on web scraping financial news for listed companies with the goal of creating a valuable, accessible resource for data-driven finance decisions.