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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

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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.pdf
From job #312 page 733
Created: 1778203942