As a Data Analyst Intern at Unified Mentor Pvt Ltd, I focused on e-commerce and hospitality sectors, optimizing product strategy and analyzing customer behavior to drive revenue growth. This role honed my analytical skills and enabled me to contribute valuable insights for data-driven decision-making.
I am Sergej, full stack web developer living in Serbia and specialized in web and server related frameworks and tools.
This repository showcases my data analytics and data science skills through projects, fostering collaboration and community engagement
This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.
A collection of scripts to assist with developing networks in BMTK (https://github.com/AllenInstitute/bmtk)
This project involves developing a system to detect brain strokes from medical images, such as CT or MRI scans. The system uses image processing and machine learning techniques to identify and classify stroke regions within the brain, aiming to provide early diagnosis and assist medical professionals in treatment planning.
Python package for Odins API to build and manage Broadwork installations.
A toolkit for visualizations in materials informatics.
An object oriented wrapper combining the functionalities of Matplotlib and SciPy
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Python project to scape data from Google News search to a markdown table
Solutions to Dr. Rabiee's CE282: Linear Algebra Course (Sharif University of Technology - Spring 2024)
Image classification convolutional neural network, using TensorFlow with an NVIDIA GPU
Linear models with Stan and Pandas
Project on rental Bike Regression
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Aktivitätsdaten von Runalyze abholen und zu einem Video (bspw. für die Insta-Story) verarbeiten.
Stock predictions with LSTM
Github Action Workflow executing a python script daily
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