I am a certified data scientist who enjoys building machine learning applications and writing blogs on data science. I am currently focusing on content creation, editing, and working with large language models.
2015-2017 Msc. Technology ManagementAward: Distinction with 3.7 out of 4Taken Courses
Extracurricular Activities
| |||||||||||
B.Sc. in Electrical (Telecommunication) EngineeringCGPA: 3.09 out of 4Publications
Taken Courses
Extracurricular Activities
| |||||||||||
2007-2009 A-LevelsGrades: A, B, C out of 3AsExtracurricular Activities
| |||||||||||
Sep 2021 - Present, Global-Remote
KDnuggets™ is a leading site on AI, Analytics, Big Data, Data Mining, Data Science, and Machine Learning.
Apr 2022 - Present
Dec 2021 - Present
Sep 2021 - Dec 2021
Dec 2021 - Present, Global-Remote
DataCamp offers interactive R, Python, Sheets, SQL and shell courses.
May 2022 - Present
Dec 2021 - Present
DAGsHub is a web platform for data version control and collaboration for data scientists and machine learning engineers.
Towards Data Science Inc. is a corporation registered in Canada. Using Medium, we provide a platform for thousands of people to exchange ideas and to expand our understanding of data science.
nalytics Vidhya provides a community based knowledge portal for Analytics and Data Science professionals.
PITC has two main functional streams; Innovation and Testing. It aims to engage diverse stakeholders and provide them a platform to collaborate for the purpose of creating, developing, elaborating, and prototyping products/ solutions to the prevailing challenges for long-term social impact.
The Center for Research and Development of IoT (CREDIT) was established on November 15, 2016. CREDIT aims to provide students and academic staff the opportunities to access IoT-related knowledge and know-how through various activities. It also acts as a hub to support commercialising potential solutions resulting from R&D projects.
Beyond Media is the official media team at APU/APIIT. We are passionate and enthusiastic in expressing the lifestyle of students in APIIT Education Group.
NGO, working for the youth of Pakistan.
A beginners project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.
Discover how Tabular data space is being transformed by Kaggle competitions, the open-source community, and generative AI.
Discover how Tabular data space is being transformed by Kaggle competitions, the open-source community, and generative AI.
This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
Participated in Gradio Block Competition and create an interactive chatbot trained on Rick and Morty’s conversation.
Trained Deep Reinforcement Learning model on Unity 3D Environment.
Urdu Automatic Speech Recognition is SOTA Solution is here and I am looking for opensource contribution to reach 20 WER by using text and audio processing.
Open Source Data Science (OSDS) Monocular Depth Estimation, Turn 2d photos into 3d photos, show your grandma the awesome results.
Creating guide for AutoXGB which includes training and running web server.
Classifying chest X-Ray images for Pneumonia
Audio preprocessing and finetuning using wav2vec2-large-xlsr model on AI4D Baamtu Datamation - automatic speech recognition in WOLOF data.
SQLLEX is a python library for comfortable and safe working with databases.
I scored 40th rank in this DrivenData competition and my Jounery started with simple LSTM.
Automated System that collect data from web on Vaccine and created Data Analysis Dashboard.
We need to design the model that will predict likely degradation rates at each base of an RNA molecule.
This project is one of my machine learning and data-driven web apps made using Streamlit. The goal of this project is to visualize various sentiment and exploratory analysis on tweets about US airlines.
Exploratory Data Analysis and Machine learning techniques were used to process the Online book market.
In this project, we will be exploring the hotel reviews and the rating base on customer hotel experience. We will be also looking at feature engineering and designing a deep learning model to predict ratings based on reviews.
The objective of this challenge is to create a machine translation system capable of converting text from French into Fongbe or Ewe.
I have created Dashboard out of simple engineer data set, you can read more here.
The goal of this challenge is to estimate the wind speeds of storms at different points in time using satellite images captured throughout a storm’s life cycle and the temporal memory of the storm.
Build data pipelines, the easy way. Orchest is a tool for building data pipelines that don’t require DAGs and frameworks. The environment is simple to navigate, and you can code Python, R, and Julia.
Discover your reading patterns and recommendations for a new book to read.
build an application programming interface (API) for your machine learning model and then deploy it with simple code.
OmdenaLore is world’s biggest AI4Good library for real-world projects.
Using FastAI.jl library to classify images from the Imagnet dataset.
We will use data analysis tools to figure out trends in digital learning and how it is effective towards improvised communities.
Designing machine learning pipeline with few lines of codes using Orchest. You will learn to preprocess the data, train the machine learning model, and evaluate the results.
Discord bot using DailoGPT pretrained model on Rick& Morty Dataset from Kaggle.
Learn how much Singapore is saving energy per years by recycling plastics, paper, glass, ferrous and non-ferrous metal.
During the selection process you have demonstrated to possess the right mix of leadership potential, logical reasoning skills, personality traits and values all combined with a humble attitude and a sense of care for the greater good.
During the mentorship program, I guided Sakshi, a CS student, in building a Hindi automatic speech recognition system.
Our editorial work and strategy have made KDnuggets more popular than ever, resulting in a record high number of unique page views that we have maintained until now.
To get certified this candidate had to display that they have the knowledge, skills, and abilities to perform a Data Scientist role. These included but were not limited to Data Management, Exploratory Analysis, Statistical Experimentation, Model Development, Coding for Production Environments, Communication, and Reporting.
To get certified this candidate had to display that they have the knowledge, skills, and abilities to perform a Data Scientist role. These included but were not limited to Data Management, Exploratory Analysis, Statistical Experimentation, Model Development, Coding for Production Environments, Communication, and Reporting.
This course Helped my understand basics of R languages and taught me some of the basic of Data Analysis, with hand on working with real-life examples.
Learning Basics of SQL and using SQL query to analyze the data. This course has helped me learn more about the database and how to produce effective analysis.
This course was my way to career change, I have learned the basics of Programming, Data analysis, and Data Science which also include Machine Learning.
I have published more than ten notebooks on the Deepnote platform and got MVP for publishing the highest number of notebooks on data analysis, Data Science, and Machine learning.
Top ten spots by weightage ensembling automl, cat boost, lightgbm, and Xgbm. I have also used feature engineering and hyperparameters optimization to get better results.
Became Lifetime Member of PEC.
