Currently managing quality, dispatch, and overall reports in the staff category for the textile industry. Seeking a career transition into the IT field to pursue my passion for data analytics and analysis.
Experience
Staff
- Role: I was responsible for managing and coordinating all marketing activities for the company.
- Responsibilities:
- Developed and implemented marketing strategies to increase brand awareness and drive customer acquisition.
- Conducted market research to identify target demographics
Projects
web scarping
- python
- sql
- power bi
- excel
Work:
- Scraped data from multiple websites using Python and Beautiful Soup.
- Extracted data from HTML tags to convert it into table format.
- Used Python libraries and modules to automate the web scraping process.
- Implemented efficient and scalable web scraping techniques to extract data from large websites.
- Optimized the code for faster scraping and handled any errors or exceptions that occurred during the process.
- Worked on various websites to gather data for analysis and research purposes.
Impact:
This project showcases the ability to use Python and its libraries like Beautiful Soup to scrape data from websites and convert it into a structured table format. By utilizing HTML tags and the Beautiful Soup library, the project demonstrates the capability to extract specific information from web pages efficiently.
The impact of this project lies in its ability to automate the process of data collection from websites, saving time and effort for manual data entry. This can be particularly useful in scenarios where large amounts of data need to be gathered
electric motors
- python
- sql
- power bi
Work Description:
- Analyzed and processed electric vehicle motor data using Power BI to create visually appealing and easy-to-understand charts and graphs.
- Utilized Power BI's data visualization tools to showcase key performance indicators and trends in electric motor performance.
- Collaborated with data analysts and engineers to gather and clean data, ensuring accuracy and completeness.
- Developed and maintained Power BI dashboards to monitor and track electric motor performance metrics.
- Used Power Query to extract, transform, and load data from
Impact:
- Utilized Power BI to visualize electric vehicle motor data into charts and graphs, making it easy to understand and analyze the data.
- Improved decision-making processes by providing visually appealing and intuitive representations of the data.
- Enabled quick identification of trends, patterns, and anomalies in the electric vehicle motor data.
- Facilitated effective communication of insights to stakeholders, leading to more informed decision-making and improved efficiency in the electric vehicle industry.