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Hello, I'm Bahram 👋

🚀 About Me

Currently enrolled in Master of Science in Applied Information and Data Science in HSLU Lucerne, I am transitioning into the world of data analytics and data science.I am willing to dive in at a granular level to mine and understand complex patterns, trends, and relations in data to surface hidden insight that can help and enable companies to make smarter business decisions and take appropriate actions to gain competitive advantages in the market.Graduate of bachelor from Glion and MBA from FHGR with 8 years of solid working experience in different management roles in Swiss Hospitality Industry.

I'm a junior data analyst with a passion for turning data into actionable insights.

  • 🔭 I’m currently working on InsideAirbnb data exploring What factors determine the price of Airbnb listings in Zurich and how do they vary across neighbourhoods and property characteristics?

  • 🌱 I’m currently preparing Exam DP-203: Data Engineering on Microsoft Azure certification

  • 😄 Pronouns: People call me Barack and some Bayram :)

  • ⚡ Fun fact: I can speak four languages fluently.

🛠 Skills & Certifications

  • Data Visualization, Machine Learning, Deep Learning, etc.
  • Web Scraping
  • Apache Hop
  • SQL, MongoDB
  • DP900 Microsoft Certified: Azure Data Fundamentals
  • SC900 Microsoft Certified: Security, Compliance, and Identity Fundamentals
  • PL300: Microsoft Power BI Data Analyst
  • Dp100: Azure Data Scientist Associate

📬 Get in Touch

  • GitHub: github.com/bahramkhanlarov
  • LinkedIn: linkedin.com/in/bahramkhanlarov/
  • E-mail: [email protected]

Bahram Khanlarov's Projects

currency-exchange-rate-scraper icon currency-exchange-rate-scraper

This repository contains a Python script for scraping historical exchange rates of Euro to Swiss Franc (CHF) from the xe.com website using the Pandas library. The script retrieves the exchange rate data from the website and outputs it into a CSV file for further analysis.

hr-dashboard-project-power-bi icon hr-dashboard-project-power-bi

This dashboard will empower you to analyze key HR KPIs like Employee Count, Salary, Gender Ratio, and attrition patterns, identify high-risk areas, and uncover the factors driving employee turnover.

lapd-crime-data-analysis-project-with-mongodb icon lapd-crime-data-analysis-project-with-mongodb

The project analyses crime data in the City of Los Angeles from 2020 onwards, sourced from the LAPD API.The analysis is based on a subset of crime records (500 records per batch) from the LAPD API.

music-recommendation-system icon music-recommendation-system

The goal of this challenge is to predict whether the users of the test dataset listened to the first track Flow proposed them or not. Deezer considers that a track is "listened" if the user has listened to more than 30 seconds of it (is_listened =1). If the user presses the skip button to change the song before 30 seconds, then the track is not considered as being listened (is_listened = 0).

python-roadmap icon python-roadmap

Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms

sp500-stock-index-visual-analysis-and-prediction icon sp500-stock-index-visual-analysis-and-prediction

This project offers a comprehensive visual analysis and prediction of the S&P 500 stock index. The analysis commenced with a visual exploration using the MACD indicator. Advanced predictive models, including ARIMA, Prophet, and KNN, were applied to forecast the stock index over a 30-day horizon.

tableau-de-bord-des-ventes-power-bi icon tableau-de-bord-des-ventes-power-bi

L'objectif du rapport est d'analyser et de présenter des informations complètes sur les ventes, les bénéfices, les commandes, la marge bénéficiaire et diverses comparaisons. Il vise à fournir une compréhension claire des indicateurs de performance clés et des tendances à l'aide de Power BI. Les objectifs du rapport peuvent être résumés comme suit :

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