Hello
I am Arjun Gullbadhar a ML Engineer a Pythonista a Developer
- ML Engineer
- Pythonista
- Developer
Arjun Gullbadhar
Machine Learning Engineer
Hi I am Arjun Gullbadhar, a CSE graduate from Chandigarh University.My unequivocal love for Coding keeps me engaged as I am always building something cool.I can code in C,C++,Java but I prefer Python as my primary language,as it is a swiss army knife in the world of coding.I love Machine Learning.The ability to predict outcomes from the available data and teach machines without explicitly telling them what to do really fascinates me.
My love for coding always pulls me towards hackathons as that is the place where you start from scratch and build something awesome and meet awesome people who are doing the same.
- Python
- C/C++
- SQL
- Sklearn
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Beautifulsoup
- Flask
- Selenium
- Git
- NLTK
Python
Web Automation
Web Scraping
Data Preprocessing
Machine Learning
Feature Engineering
projects
My Projects.
Gun Detection in CCTV
Detecting Guns in cctv cameras using tensorflow and linking it to a chain of cameras,decreasing the threshold percentage of probability when one of the camera detects gun and sends an alert to the concerned authority.
Customer Loyalty Prediction
Developed an algorithm to predict the loyalty of a customer, based upon a dataset of ~140000 rows and multiple parameters. Random Forest algorithm was used after feature engineering and selection using library “featuretools”.
Cryptocurrency Scraper
Comparing every cryptocurrency's international and Indian market's price every 30 seconds and predicting the price of Indian market based on the movement of the International market.
OCR Vision with NLP Summarization
Used the Google Vision Api to capture and detect text from images and then used NLTK library to Lemmatize, remove stop words and punctuations and then tokenize it to create a word cloud.
Stock Market Prediction using Keras
Used Keras's Lstm and ARIMA model for predicting stock market price.(Built during Techgig Machine Learning Code Gladiators Hackathon)
Malware Infection Prediction
Developed a machine learning algorithm to predict the probability of a device to be affected by a malware. The dataset consisted of 200 different parameters and ~ 2 lakh rows. A blended solution of KNN and Random Forest was used for analysis. The metric used for evaluation was ROC-AUC.
My Achivements
- Ist Runner-up CU-Hackoverflow
- Top 15 in Techgig Code Gladiators 2018 (ML)
- Top 25 Analytics Vidhya Data Identity Hackathon
- Top 25 Analytics Vidhya WNS Analytics Wizard Hackathon
- Qualified First Round of WorldQuant Alpha
- 1st in Paper Presentation in Chandigarh University
- Kaggle Elo Challenge top 19%
- Kaggle Microsoft Challenge top 17%
- Published a paper in IJIRD on Cloud Computing
- Chair at Chandigarh University ACM Student Chapter (Aug 2018 - June2019)
- President at InnovateAI club (Chandigarh University)
contact
Get In Touch.
Contact
+91-88476-27161
Address :
Fazilka, Punjab, INDIA
Email :
arjungullbadhar01@gmail.com