Shaista Baig

Shaista Baig

$15/hr
Web Scraping | Data Extraction | Annotation | Visualization
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
30 years old
Location:
Karachi, Sindh, Pakistan
Experience:
1 year
Shaista Baig A ​software engineer​ inclined towards Data Science, acquiring the essential skillset on my career path to solve problems using Big Data. |Python| |SQL| |Web Scraping| |Scrapy| |ASP .NET| - linkedin.com/in/shaista-baig-0a-/ s ​-Gulshan - e - Maymar, Karachi EXPERIENCE EDUCATION Stackweavers Pvt. Ltd Data Annotation Executive — ​ ​M ​ ay 2019 - PRESENT NED University of Engineering & Technology. ● Accurately annotating Data/Images which are used for training AI/ML models. ● M.S Data Engineering & Information Management NOV 2019 - Continued Continental Marine Energy Sdn. Bhd. Malaysia Overseas Internship ​—​ ​ July-August 2019 ● ● DECEMBER 2013 - OCTOBER 2017​ ​ CGPA: 3.52 Developing an offline desktop application for Professional Asset Management Assessment Tools & Technologies: ​Windows form application, ASP .Net and SQLite Database. SKILLS ● PROJECTS Guiding Lights USA, Freelance Project— 2 ​ 018 ● An online scholarship application tracking system where students willing to study abroad can create their profile and submit the relevant documents which can then be viewed by the administrators. ● Tools & Technologies: ​PHP, MySql, Bootstrap ● Feedback Evaluation System, ORIC NEDUET — ​2017 This system helps in maintaining employee’s and admin accounts, academic and feedback records and analyzes their feedback and provides reports for visualization. Tools & Technologies: ​PHP, MySql, Bootstrap, AJAX, RapidMiner Studio, SQL RedGat​e B.E. Software Engineer ● ● Vast knowledge of software engineering concepts. Familiar with Agile and other project management methodologies Familiar with web scraping using BeautifulSoup and Scrapy Acquainted with basic Data Analysis Concepts. Reliable, hardworking, self-motivated and detail-oriented with great communication skills. Passionate about the application of Data Science to solve big-data problems.
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