Erum Mehmood

Erum Mehmood

Mentor
5.0
(37 reviews)
US$20.00
For every 15 mins
113
Sessions/Jobs
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First 15 mins free for your first session
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ABOUT ME
Software Developer | Programming Tutor | Problem Solver
Software Developer | Programming Tutor | Problem Solver

Embark on a transformative coding journey with me, a visionary computer science expert and a passionate mentor, bringing over two decades of rich expertise in the dynamic realms of programming, data science, and software architecture.
My technical skills span across a broad spectrum, including mastery in programming languages like Python, Java, C++, C, and Scala, along with a profound understanding of algorithms, data structures, and the complex art of software design. My research interests include big data analysis, semi-stream join algorithms, and real-time data warehousing. As a mentor, I've illuminated the path for students globally, from prestigious universities in the USA, Australia, Canada, and the UK, in a vast array of subjects from Big Data Analytics to Cyber Security, and advanced programming languages. Currently, I am a lecturer of Computer Science at a Higher Education Institute. My academic prowess is underscored by a PhD in Computer Science, with my doctoral thesis titled: "Integrated Real-Time Distributed Stream-Disk Processing Architecture for Unstructured Big Data". Join me on codementor, where together, we'll navigate the intricacies of technology, unleashing the potential to innovate, solve real-world problems, and excel in your programming career.

Islamabad (+05:00)
Joined July 2023
EXPERTISE
7 years experience | 2 endorsements
Back-end development, BeautifulSoup, Tkinter, XML processing, socket programming.
Back-end development, BeautifulSoup, Tkinter, XML processing, socket programming.
7 years experience
Back-end development, Distributed systems, Desktop applications, Multi-threading, Producer-Consumer problems, Hash Maps, Linked lists, Qu...
Back-end development, Distributed systems, Desktop applications, Multi-threading, Producer-Consumer problems, Hash Maps, Linked lists, Queues, Maven and more.
13 years experience
15 years experience
SFML-Candy Crush Game development
SFML-Candy Crush Game development

REVIEWS FROM CLIENTS

5.0
(37 reviews)
Maged Saad
Maged Saad
December 2024
always helps in pointing me in the right direction, has a deep grasp of ml concepts
PUDUR S RAMASWAMY
PUDUR S RAMASWAMY
November 2024
well articulated session
PUDUR S RAMASWAMY
PUDUR S RAMASWAMY
November 2024
erum = Excellent, Reliable, Upscale Mentorship
PUDUR S RAMASWAMY
PUDUR S RAMASWAMY
November 2024
knowledgeable to fix issues as it arises.
PUDUR S RAMASWAMY
PUDUR S RAMASWAMY
November 2024
ML Master she is !! Muy Bien!!
PUDUR S RAMASWAMY
PUDUR S RAMASWAMY
November 2024
sincere, knowledgable, passionate teacher
Kjetil Melby
Kjetil Melby
November 2024
Structured and patient, would recomend!
Mohammad Anas Sohail
Mohammad Anas Sohail
November 2024
Dr. Erum Mehmood provided precise and efficient troubleshooting for my LaTeX document layout, quickly resolving a complex formatting issue. Highly knowledgeable and professional!
Alaa Abbas
Alaa Abbas
October 2024
best mentor to work with
Mario Conte
Mario Conte
October 2024
Phenomenal as always!
EMPLOYMENTS
Lecturer
Govt. Graduate College
2015-12-01-Present
Lecturer in Computer Science, teaching programming, algorithms, data structures, web development and databases to undergrad students.
Lecturer in Computer Science, teaching programming, algorithms, data structures, web development and databases to undergrad students.
HTML/CSS
Python
Java
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HTML/CSS
Python
Java
C++
C
Database
Data Science
JavaScript
Data structure
Data warehouse
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PROJECTS
DHSDJArch: An Efficient Design of Distributed Heterogeneous Stream-Disk Join ArchitectureView Project
2023
In this work I developed a distributed heterogeneous stream-disk join architecture (DHSDJArch) which can prevent stream data loss as well...
In this work I developed a distributed heterogeneous stream-disk join architecture (DHSDJArch) which can prevent stream data loss as well as maintaining balance between heterogeneous distributed data sources and accuracy of stream-disk join. A four phased distributed architecture is proposed for the multi-objective optimization to transform heterogeneous incomplete stream. To prevent stream loss, configuration of log retention is proposed based on the characteristics of distributed event streaming platform (DESP) . Specifically, two transformations are designed to pre-process heterogeneous streams and to join pre-processed stream with distributed disk data by performing real-time disk access while compensating the differences between data sources and streaming application, respectively.
Python
Java
MongoDB
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Python
Java
MongoDB
Apache Spark
Apache Kafka
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Data Wrangling and Neural Network Optimization
2023
Conducted comprehensive data wrangling and optimization for neural network performance, addressing missing data, converting textual infor...
Conducted comprehensive data wrangling and optimization for neural network performance, addressing missing data, converting textual information to numeric values, and implementing a single hidden layer neural network with 16 neurons to measure accuracy. Standardized data, removed highly correlated features, and experimented with various neural network models, hyper-parameters, and optimization techniques to enhance overall accuracy.
Python
Machine learning
Neural Networks
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Python
Machine learning
Neural Networks
TensorFlow
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