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
-
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)