Hello Everyone! This is my DataScience portfolio. I keep including my portfolio projects here.
🖥🖥 Read Clients' Reviews here ✅✅
Steel Industry load classification: A model to predict load type using various feature such as kwh usage and current power factor.
Tools used : Numpy, Pandas, Scikit learn , Seaborn, Matplotlib , Flask,
A model to predict whether the customer of a bank is going to get default.Banks and other financial institution can use this model to predict. if the customer should be given more credit or the customer will be going to default.
Tools used : Numpy, Pandas, Scikit learn , Seaborn, Matplotlib , Flask,
Will the customer churn or not?: A model to predict whether the customer will continue with our service or not. This model can be used to know before hand if the customer is about to stop using our services. then we can offer promotional discounts and emails to sustain these customers. Serve the learned model to web using Flask.
Tools used : Numpy, Pandas, Scikit learn , Flask , Seaborn, Matplotlib
Classifaction of clothes and accessory images: A model to predict the fashiion images and classify it into one of the 10 categories. The model can be used to classify the images that are being posted on an ecommerce platform.
Tools used : Numpy, Pandas, Tensorflow , Keras , Seaborn, Matplotlib
Predicting total orders on a given day : A model to predict total number of orders that can be treated in a day. This model can be used to evaluate performance of employees by predicting number of orders that can be delievered.
Tools used : Numpy, Pandas, Scikit learn , Seaborn, Matplotlib
Car Price Predictor : A model to predict prices of a car using linear regression model. This can be used in predicting prices of cars listed in car selling $ buying websites. Identified key attributes that effect the prices of cars.
Tools used : Numpy, Pandas, Seaborn, Matplotlib
🖥🖥 Read Clients' Reviews here ✅✅
LinkedIn Scraper: A python script to scrape all the data including name, email , connections, about , experience, education, skills, intersests, certifications, company etc from a linkedin profile and company page.
Tools used : Selenium , Selenium Webdriver
Google Maps Business Scraping: A python script to scrape all the data including business name, address, timings , website, phone, ratings , number of reviews, Top 3 reviews and image and save all the data in a csv file.
Tools used : Selenium
Blog Information Scraper: A python script to scrape all the information such as headline, summary, category , link and date published of all articles from a health blog website.
Tools used : BeautifulSoup
PDF to CSV: A python script to extract data from pdf to csv, excel, google sheets or any database.
Tools used : Tabula
Finding Best Deal on Booking.com: A project to automate the task of finding best deal on Booking.com. The script will find best deals and save all the inforamtion in a csv file.
Extracting data from flippa.com and then using extracted data to search leads on linkedin using python.
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"Saifullah successfully created 3 separate python files to help us scrape our target sites for data. He was also patient and communicative about how to run the file and made updates when requested".
Developed a linkedin scraper.
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"Quality of work and always available for questions and meetings."
Web scraping from a B2B website. dealing with infinite scrolling problem.
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"Saifullah completed successfully his missions. Very solution oriented mindset. Always willing to go the extra mile ahead. We really recommend this freelancer!"
Extracting the portion of text from Legal document.
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"professional, completed the task in time. good communication."