Summary
Overview
Work History
Education
Skills
Data Science and Machine Learning Projects
Accomplishments
Reference
Timeline
Generic

Maham Qureshi

Granville,NSW

Summary

To secure a fulfilling position as a Data Scientist or Data Analyst. By applying a diverse skill set and an eagerness to learn, the goal is to contribute valuable insights to data-driven projects and enhance decision-making processes. Dedication to making a meaningful impact and continuous development in the field of data analysis is paramount.

Overview

7
7
years of professional experience

Work History

Machine Learning Engineer

MRS Technologies
02.2022 - 05.2023
  • Designed and developed efficient computer vision algorithms for resource-constrained edge devices, encompassing object detection, tracking, image recognition, and semantic segmentation.
  • Integrated computer vision algorithms into edge devices' firmware and software stack for vehicle deployment.
  • Sourced and integrated dependencies, executed open-source code, and extended/built prototypes using software repositories like Git.
  • Developed and maintained software applications utilizing the QT framework, creating user-friendly graphical interfaces (GUIs).
  • Utilized the power of QT framework to seamlessly embed machine learning algorithms into hardware edge devices. Leveraged QT's capabilities to integrate complex AI models within the limited resources of these devices, enhancing their functionality without compromising efficiency.
  • Created clear and well-documented Bash/Python scripts for user ease and team understanding.
  • Collaborated with teams to identify automation opportunities using Bash/Python scripts, streamlining workflows and enhancing productivity.
  • Prototyped machine learning applications and quickly determined application viability
  • Created proofs of concept for innovative new solutions
  • Rapidly prototyped new data processing capabilities to confirm integration feasibility into existing systems
  • Leveraged artificial intelligence and machine learning algorithms for standalone products and enhanced existing product offerings

STEM Mentor

RoboMinors
06.2019 - 01.2021
  • Proficiently instructed students in robotics and programming using diverse hardware platforms like Arduino, Jetson Nano, Raspberry Pi, and Lego Kits, fostering engaging hands-on learning experiences.
  • Leveraged strong understanding of Python to teach coding concepts and algorithms, promoting computational thinking skills.
  • Introduced students to introductory machine learning principles, broaden their knowledge of emerging technologies and real-world applications.
  • Crafted curriculum that introduces children to foundational concepts of data science in accessible and engaging manner. Designed age-appropriate lessons that progressively cover data collection, analysis, visualization, and interpretation.
  • Employed project-based approach, guiding students
    through entire project lifecycle to nurture creativity,
    problem-solving, and practical skills. Developed collaborative workshops, activities, and projects that encourage teamwork and critical thinking.
  • Committed to seamlessly integrating robotics and
    programming principles into curriculum, motivating students to engage with technology's practical applications.
  • Collaborated with parents, school faculty and social workers to address problems and grow student success

Graduate Research Associate and Administrative Assistant

IST Business Incubation
10.2017 - 09.2018
  • Assisted in the design of experiments and data collection for research projects.
    Conducted literature reviews to identify gaps in existing research and methods.
    Performed statistical analysis on gathered data to generate results for publications.
    Maintained accurate records of all experimental results and findings.
    Collaborated with faculty members on various projects involving laboratory techniques such as PCR or cell culture work.
    Provided technical assistance to undergraduate students with their own independent research projects.
    Organized meetings with project stakeholders to discuss objectives and progress of research initiatives.
    Attended scientific lectures and seminars to stay up-to-date on current developments in the field.
    Analyzed survey data using qualitative methods such as coding or thematic analysis.
    Prepared reports, summaries, protocols, and other documents related to research activities.

Application Development Internee

Software House
08.2016 - 10.2016
  • Successfully contributed to the development of an Android application designed for a sleep apnea device, focusing on the Sleep Apnea Device Project.

Education

Certificate Program in Machine Learning and Data Science -

Dice Analytics
Islamabad
2021

Master of Electrical Engineering - Digital Signal and System Processing

National University of Science And Technology
Islamabad
2020

Bachelor of Electrical Engineering -

Institute of Space Technology
Islamabad
2017

Skills

  • Data Wrangling: Python
  • Data Analysis and Visualization: SQL, Microsoft Excel, Python, Microsoft BI
  • Machine Learning: Linear/Logistic Regression, Ensemble Methods, Regularization, xgboost-gpu, Random Forest, Clustering, xgboost-gpu
  • Deep Learning: Keras, Tensor Flow, PyTorch
  • QT Development: QT(Qt development framework)

Data Science and Machine Learning Projects

 Price Prediction Project:

  • Methodologies/Algorithms Used: Implemented regression models such as Linear Regression, Decision Trees, and Random Forest to predict train fare based on origin, destination, time, and train service type.
  • Data Wrangling: Cleaned and preprocessed historical train fare data, handled missing values, and transformed features for model readiness.
  • Outcomes/Insights: Developed a predictive model that accurately estimated train fares, aiding in better pricing strategies and customer satisfaction.


HR Churn Project:

  • Methodologies/Algorithms Used: Utilized machine learning techniques like Logistic Regression, Gradient Boosting, and Feature Importance analysis to identify factors contributing to employee turnover.
  • Data Wrangling: Processed HR data, addressing inconsistencies and outliers, and engineered relevant features to enhance model performance.
  • Outcomes/Insights: Created a predictive model that could determine the likelihood of employee churn, enabling proactive HR strategies to retain valuable talent.


Customer Segmentation Project:

  • Methodologies/Algorithms Used: Employed clustering algorithms such as K-Means and hierarchical clustering to segment customers based on purchasing behavior and preferences.
  • Data Wrangling: Prepared and transformed customer transaction data, ensuring data quality and compatibility for clustering analysis.
  • Outcomes/Insights: Provided valuable insights into different customer groups, allowing the wholesale distributor to tailor delivery services and marketing efforts to meet individual customer needs effectively.

Accomplishments


  • Gold medal & 1st position in Mera Maan, Business Pitch Competition
  • Final Year Project, recognized as one of the top 3 projects in the Electrical Engineering Program
  • Member of Islamabad Women Chamber of Commerce and Industry

Reference

Reference shall be provided upon request.

Timeline

Machine Learning Engineer

MRS Technologies
02.2022 - 05.2023

STEM Mentor

RoboMinors
06.2019 - 01.2021

Graduate Research Associate and Administrative Assistant

IST Business Incubation
10.2017 - 09.2018

Application Development Internee

Software House
08.2016 - 10.2016

Certificate Program in Machine Learning and Data Science -

Dice Analytics

Master of Electrical Engineering - Digital Signal and System Processing

National University of Science And Technology

Bachelor of Electrical Engineering -

Institute of Space Technology

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Maham Qureshi