Mominur Rahman
Web Scraping Expert | Data Science Enthusiast | Python Developer
EXPERIENCE
Data Science - Internship (11/2023 - 11/2023)
Satya Niketan, South West New Delhi, India - 110021
During my internship at Oasis Infobyte in Satya Niketan, New Delhi, I focused on diverse data science projects. I conducted an in-depth analysis of unemployment data, utilizing Python, pandas, and matplotlib to visualize Estimated Unemployment Rate, Employed, and Labour Participation Rate. Additionally, I delved into machine learning for car price prediction, employing Python, scikit-learn, and Flask. Another project involved sales prediction using linear regression based on advertising budgets, and I developed an email spam detection model using Naive Bayes classifier. Throughout, I honed my skills in data analysis, visualization, and machine learning technologies, contributing to real-world problem-solving.
Used Technology : Python, pandas, matplotlib, seaborn, scikit-learn, joblib, flask, HTML5, CSS.
Senior Python Developer (04/2022 - Present)
278 Dania Road, 2nd Floor, Dhaka, Dhaka 1236, BD
As a Senior Python Developer at Web Data Scraping in Dhaka, Bangladesh, since April 2022, I specialize in web scraping, automation, and data science projects. My role involves leveraging advanced Python techniques to extract and analyze data from diverse online sources. I contribute to the development of efficient web scraping solutions and implement automation processes to streamline workflows. Additionally, I actively engage in data science projects, applying my expertise to derive meaningful insights from the collected data. My work at Web Data Scraping showcases my proficiency in Python development and my ability to address complex challenges in the realm of web data extraction and analysis.
Used Technology :Python, selenium, requests, beautifulSoup4, mysql-connector-python, pymongo, tkinter, PySimpleGUI, HTML5, CSS.
SKILLS
Programming Languages: Python, C, C++.
Python Libraries: scikit-learn, pandas, seaborn, matplotlib, numpy, folium, scipy, selenium, requests, beautifulSoup4, mysql-connector-python, pymongo, tkinter, PySimpleGUI.
Front-End Development: HTML5, CSS.
Database: Mysql, MongoDB.
PROJECTS
My projects encompass cutting-edge applications of data science and web scraping using Python. From analyzing unemployment trends and predicting car prices to sales forecasting and email spam detection, I leverage Python, pandas, scikit-learn, and web scraping techniques for insightful data extraction, analysis, and visualization, contributing to innovative solutions.
Web scraping, the automated extraction of data from websites, holds significant importance in various business contexts. Here are some key points highlighting the importance of web scraping in business: Competitive Intelligence, Market Research, Price Monitoring and Brand Monitoring etc. Used Technology: Python, selenium, requests, beautifulSoup4, mysql-connector-python, pymongo, tkinter, PySimpleGUI, HTML5, CSS.
This project aims to analyze and visualize unemployment-related data, focusing on Estimated Unemployment Rate, Estimated Employed, and Estimated Labour Participation Rate. The analysis is performed at both regional and state levels, providing insights into minimum, average, and maximum values for each parameter.
Skills: Data Visualization · Python (Programming Language) · Data Science · Data Analysis.
This project focuses on predicting the selling price of cars using machine learning techniques. The dataset used for this project contains information about various car features, such as the car name, year of manufacture, present price, kilometers driven, fuel type, selling type, transmission, and the number of previous owners. The goal is to train a machine learning model that can accurately predict the selling price based on these features.
Skills: Data Visualization · Machine Learning · Data Science · Data Analysis
SERVICES
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Web scraping, the automated extraction of data from websites, holds significant importance in various business contexts. Here are some key points highlighting the importance of web scraping in business: Competitive Intelligence, Market Research, Price Monitoring and Brand Monitoring etc.
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Data Science
Data Science is a multidisciplinary field that employs scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines expertise in statistics, mathematics, and computer science to analyze and interpret complex datasets, driving informed decision-making and solutions in various industries.
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Tech Support
Tech Support Service provides expert assistance to individuals or organizations facing technical issues with software, hardware, or electronic devices. Skilled professionals offer troubleshooting, guidance, and solutions through various communication channels, ensuring smooth operation and optimal performance of technology products.
