SAIFULLAH KHAN
OTHER-UNCATEGORIZED
· 2024
Email
saif4rmkhan@gmail.com
Phone
335/361-3019
LinkedIn
—
GitHub
—
Academic
Program
BSCS
CGPA
3.53
Year
2024
Education
Institute of Business Administration, Karachi
Address
Karachi
DOB
—
Career
Current role
Freelancer on Upwork
Target role
—
Skills
Proposal Writing, Analytical Skills/Data Analysis, Quick Learner, Adaptable, NumPy, Pandas, Scikit-learn, Seaborn, Matplotlib
Interests / quote
Motivated CS graduate seeking a data analyst/data engineering role to apply strong analytical skills and programming expertise. Eager to contribute to innovative projects, leveraging data-driven insights to solve real-world problems in a dynamic and collaborative environment.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Linkedin Profile SAIFULLAH KHAN s.khan.22877@khi.iba.edu.pk 335/361-3019/saif4rmkhan@gmail.com BSCS CAREER OBJECTIVE Motivated CS graduate seeking a data analyst/data engineering role to apply strong analytical skills and programming expertise. Eager to contribute to innovative projects, leveraging data-driven insights to solve real-world problems in a dynamic and collaborative environment. EDUCATION DEGREE/PROGRAM YEAR OF GRADUATION INSTITUTION CGPA/PERCENTAGE City BSCS June 2024 Institute of Business Administration, Karachi 3.53 HSC 2020 Adamjee Government Science College 88 Karachi SSC 2018 Fazaia Degree College Faisal Karachi, Karachi 90 MAJORS Computer Science INTERNSHIP/WORK EXPERIENCE(S) DESIGNATION NAME OF THE COMPANY TENURE/DURATION Data Extraction Specialist / Data Engineering 1 Jun 2022 - Currently Working Freelancer on Upwork. Completed multiple Data Extraction & Data Engineering Projects. HONORS/AWARDS AND OTHER RECOGNITIONS IBA Dean's List SKILLS AND COMPETENCIES Proposal Writing - (INTERMEDIATE) Analytical Skills/Data Analysis - (INTERMEDIATE) Quick Learner - (INTERMEDIATE) Adaptable - (ADVANCE) INTEREST AND HOBBIES Gaming TERM PROJECT(S)/RESEARCH WORK(S) Total Orders Predictor: Developed a predictive model using NumPy, Pandas, Scikit-learn, Seaborn and Matplotlib to forecast the total number of orders that can be fulfilled in a day. The model was utilized to evaluate employee performance by predicting the number of orders that can be delivered
Provenance
Source file: IBA - Undergrad Profile Book 2024.pdfFrom job #312 page 733
Created: 1778203942