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Data Scientist with 3+ years in Machine Learning & Mathematics.
Flexible and willing to relocate anywhere within Europe for the right employment opportunity. As a dedicated professional with a strong background in mathematics and data science, I have experience in teaching, research, and data analysis. I am adept at delivering lectures, assessing performance, developing course materials, and providing academic support. My expertise includes designing and delivering lessons, managing classrooms, staying updated on educational trends, and integrating technology to enhance learning. I am proficient in data exploration, advanced analytics, machine learning, and statistical modeling, with a commitment to methodological rigor and innovation.
University of Padova
MASTER OF SCIENCE IN DATA SCIENCE · Data science
August 1, 2025 – June 30, 2027
University of milano bicocca
2ND LEVEL MASTER IN METHODS AND DATA ANALYSIS IN BIOMEDICAL RESEARCH
August 1, 2023 – June 30, 2024
University of Verona
MASTERS OF SCIENCE IN APPLIED MATHEMATICS
August 1, 2018 – June 30, 2021
FAST National University of Computer and Emerging Sciences
MASTER OF SCIENCE OF ONE YEAR
August 1, 2017 – June 30, 2018
University of Education
BACHELORS OF SCIENCE IN MATHEMATICS
August 1, 2013 – June 30, 2017
SUMAS - SUSTAINABILITY MANAGEMENT SCHOOL
ADJUNCT PROFESSOR – MATHEMATICS (BACHELOR'S LEVEL)
March 1, 2025 – September 1, 2025
Milan, Lombardy, Italy
ANDERSON INTERNATIONAL HIGH SCHOOL
TEACHER
July 20, 2024 – July 30, 2025
Milan, Lombardy, Italy
UNIVERSITY OF MILANO BICOCCA
DATA SCIENCE GRADUATION INTERNSHIP
December 11, 2023 – March 22, 2024
Italy
FONDAZIONE IRCCS SAN GERARDO DEI TINTORI, OSPEDALE SAN GERARDO
DATA SCIENTIST
November 15, 2022 – January 1, 2024
Monza, Lombardy, Italy
MINAJ UNIVERSITY
UNIVERSITY TEACHING ASSISTANT INTERNSHIP
March 1, 2020 – July 1, 2020
Lahore, Punjab, Pakistan
ROOTS INTERNATIONAL SCHOOL SYSTEM
MATHEMATICS TEACHER
January 1, 2017 – January 1, 2018
Lahore, Punjab, Pakistan
SHUJABAD WEAVING MILLS LIMITED
FORMER INTERNSHIP AS FINANCIAL OFFICER
January 1, 2016 – January 1, 2016
Lahore, Punjab, Pakistan
CHIEF MINISTER YOUTH MOBILIZATION COMMITTEE
EVENTS PROMOTOR
January 1, 2016 – January 1, 2017
Lahore, Punjab, Pakistan
ANTI NARCOTICS FORCE
YOUTH PROGRAMMES SOCIAL WORKER
January 1, 2015 – January 1, 2017
Lahore, Punjab, Pakistan
UNIVERSITY OF EDUCATION MEDIA SOCIETY
YOUTH MENTOR
January 1, 2015 – January 1, 2017
Lahore, Punjab, Pakistan
AIMS HIGH SCHOOL
TEACHER
January 1, 2015 – January 1, 2016
Lahore, Punjab, Pakistan
YOUNG DEVELOPMENT CROPS
YOUTH MENTOR
January 1, 2013 – January 1, 2017
Lahore, Punjab, Pakistan
DATA SCIENCE PROFESSIONAL CERTIFICATION
Havard University
June 1, 2026 – Present
On assorted soliton wave solutions with the higher-order fractional
International Journal of Modern Physics B
December 1, 2023 – Present
Optical solitons to the KMN equation in (2+1)-dimensional form via two analytical techniques
Journal of Laser Applications
May 1, 2022 – Present
Cultural Fit Analysis
The candidate's diverse educational background across multiple institutions and countries (Pakistan, Italy) suggests adaptability and exposure to different academic cultures. Their involvement in various youth mentorship and social worker roles indicates a strong sense of community, leadership, and social responsibility, which could contribute positively to a collaborative work environment. The candidate's stated flexibility and willingness to relocate further enhance their cultural fit for international or dynamic teams. However, the majority of their professional experience is in teaching, which might require a significant transition to a corporate data science culture.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as communication, teamwork, critical thinking, and problem-solving through their extensive teaching and mentoring roles. Their experience in developing course materials and assessing student performance suggests good organizational and planning skills. The candidate's willingness to relocate indicates flexibility. However, the primary operational fit is in academic or research settings, with limited direct industry experience in data science beyond one role and an internship.