diff --git a/README.md b/README.md index f61ad23..2cfb381 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,27 @@ # Software Engineer (Data & Backend) -#### Technical Skills: Python, JavaScript, Java, TypeScript, SQL, AWS, Apache Airflow, Apache Kafka, Node, Express, Mongo, MySQL +#### Technical Skills: +**Programming Languages:** Python, JavaScript, Java, TypeScript, SQL, C, C++, PHP, Golang + +**Cloud Platform:** AWS(Amazon Web Services), GCP(Google Cloud Platform) + +**Data Engineering:** Apache Airflow, Apache Kafka, Apache Spark, Pandas, Numpy + +**Front-End Development:** React, Bootstrap. + +**Backend Development:** Node.js, Express, FastAPI, Django, Flask + +**Databases:** Mongo, MySQL, Redis + +**DevOps & Tools:** Linux, Git, Docker + +**Automation & Web Scraping:** Selenium, Puppeteer ## Education
Mumbai University - B.S, Information Technology | University Of Mumbai (May 2022) + Bachelors of Science in Information Technology | University Of Mumbai (May 2022)
## Work Experience @@ -25,6 +40,8 @@ - Explore methods to improve data quality and reliability. - Manage complex data workflows for efficient data processing. +**Skills Used:** Apache Airflow, Docker, AWS, GCP, MongoDB, Express, TypeScript, JavaScript. +
@@ -71,6 +88,7 @@ Get social media's public profile data using scripts provided in this project. Contains scripts for Facebook, Instagram, Twitter, GitHub, Medium, and Pinterest. It uses python's selenium framework. +**Technologies**: Python, Selenium and Requests. ![Social Media Scraper](/assets/social-media-scraperjpeg.jpeg) @@ -83,6 +101,8 @@ Twitter scraper is a maintained python library to scrape data from Twitter profi - It is a headless mode browser automation. - It is available on PyPi as well. +**Technologies**: Python, Selenium and Requests. + ![Twitter Scraper Selenium](/assets/twitter-scraper.jpeg) ### Facebook Page Scraper @@ -94,6 +114,7 @@ Facebook Page scraper is maintained python library to extract post's data from t - Post's data can be extracted in form of JSON as well as CSV files very easily. - Made with Python, simple to import and install via pip +**Technologies**: Python, Selenium and Requests. ![Facebook Scraper](/assets/fb_scraper.jpeg)