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  • Home
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    • Animal Rights Viz
    • Store Sales Analysis
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    • Summarizer - LangChain
    • COVID-19 Data Analysis
    • Spotify Data Analysis
    • Global Economy Analysis
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    • Housing Data Cleaning
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Background

Who am I?

Well, let me introduce myself. I am a Data Analyst and Scientist, currently based in Halifax, on the East Coast of Canada. Born in Muscat, Oman, I've spent a greater portion of my life in that region having completed all of my education there, up until I moved to Canada to pursue my masters in computer science.


I've been an avid tech-enthusiast ever since I can remember, growing up with  a parent working in IT. I was always fascinated by computers and all of their capabilities. I would often explore all that they had to offer any way I could, including trying out various applications and physically opening up computers - trying to figure out how they worked. I would like to think I am pretty handy with computers, being able to troubleshoot and build them as well. Initially, my passion for computers and the sciences, led me to pursue a bachelors degree in computer science at the Birla Institute of Technology's international center in Muscat.


It was towards the end of this program, that I started to garner interest in AI and Machine Learning, having taken some courses in that space. Primarily, when I first saw Google DeepMind's work in using Machine Learning to be able to diagnose a large variety of eye diseases, that is when I went down the rabbit hole to see all kinds of amazing applications of AI with the ability to effect real world change with its capabilities. The possibilities in the medical and healthcare domain peaked my interest the most. I then decided that I wanted to learn more and further my knowledge and expertise in Data Science and ML. I enrolled in the Master of Computer Science program at Dalhousie University, where I went on to complete courses in Machine Learning, Natural Language Processing and Data Mining among others. I then dedicated myself to doing research in the field of Machine Learning in healthcare. This culminated in an elaborate thesis on unsupervised learning in kidney transplantation. I've also co-authored two publications which were accepted to the MedInfo 2023 conference. 


In order to further advance my skill and ability in data science and data analytics, I have worked on and continue to work on various projects and professional courses as much as I can, some of which are displayed on this website.


Outside of my professional life, I enjoy playing video games, sports (soccer, badminton particularly), building computers and spending time with my family and friends. I also like to keep myself updated with the latest tech.

Education

Master of Computer Science

Dalhousie University, Halifax, Nova Scotia, Canada                                                                                               Dec 2022


Thesis: Multi-Modal Consensus Clustering to Identify Phenotypes of Kidney Transplant Donors and Recipients and their Association with Survival


Courses: Machine Learning for Big Data, Natural Language Processing, Research Methods and Statistics, Data Mining and Warehousing

Bachelor of Engineering in Computer Science

Birla Institute of Technology, Muscat, Oman                                                                                                             Aug 2018


Relevant Courses: Artificial Intelligence, Database Management Systems, Data Structures, Operating Systems, Software Engineering, Distributed Systems


  • Held internal awards throughout the program for academic performance.
  • Organized and led workshops on building PCs and troubleshooting them.
  • Participated and won several competitions including those in PC building/troubleshooting and data modeling.
  • Worked as the Technical Club Secretary for the Student Advisory Council during 2017 - 2018.

Publications

Ensemble Clustering to Generate Phenotypes of Kidney Transplant Donors and Recipients 

Syed Sibte Raza Abidi; Kranthi Jalakam; Syed Hani Raza Abidi; Karthik Tennankore 

In: 19th World Congress on Medical and Health Informatics (MEDINFO 2023), Sydney, Australia, 2023 


Characterizing Cluster-Based Frailty Phenotypes in a Multicenter Prospective Cohort of Kidney Transplant Candidates 

Syed Hani Raza Abidi; Nur Zincir-Heywood; Syed Sibte Raza Abidi; Kranthi Jalakam; Samina Abidi; L. Gunaratnam; R. Suri; H. Cardinale; A. Vinson; B. Prasad; M. Walsh; S. Yohanna; George Worthen; Karthik Tennankore 

In: 19th World Congress on Medical and Health Informatics (MEDINFO 2023), Sydney, Australia, 2023

Work Experience

Data Scientist

AXIS Specialty Canada Services, ULC., Halifax, Nova Scotia, Canada                                   Dec 2024 - Feb 2026

                                                                                                                                                          

  •  Collecting and wrangling datasets while understanding the structure and limitations of source systems. 
  • Applying machine learning techniques to build models that address business challenges. 
  • Leveraging generative AI to automate tasks and extract insights from unstructured data.
  • Supporting the development of prototypes and data science solutions under senior guidance. 
  • Assisting with the deployment of analytics microservices using cloud-based tools. 
  • Reviewing third-party data products and contributing to vendor assessments. 
  • Building relationships with business partners to support collaboration and solution delivery. 
  • Developing knowledge of AXIS’s business, products, and the (re)insurance industry. 

DalSAFE Ambassador

Dalhousie University, Halifax, Nova Scotia, Canada                                                                        Mar 2023 - Dec 2023

                                                                                                                                                        (Previously Sep 2020 - Dec 2022)

  

  • Conducting community-based safety assessments and gathering data on student concerns related to campus security and well-being.
  • Collaborating with university departments and student groups to promote awareness of DalSAFE initiatives and support inclusive safety programming.
  • Analyzing feedback and survey data to inform improvements in safety outreach and policy communication.
  • Advocating for marginalized student populations, ensuring their voices were represented in safety planning and response efforts.
  • Developing and delivering educational content on safety protocols, emergency preparedness, and harm reduction strategies using tools such as Canva and Microsoft Office Suite.

Council Secretary

Dalhousie Student Union, Halifax, Nova Scotia                                                                                 Oct 2019 - Apr 2020


  • Recorded clear, concise, and accurate meeting minutes for every Council meeting, ensuring a comprehensive and organized record of proceedings. 
  • Skillfully prepared, edited, and promptly distributed meeting minutes to Council members for review and approval, streamlining the decision-making process. 

Skills

Technical Skills

Programming Software and Other Tools:

  • Python (Jupyter, pandas, NumPy, Matplotlib, seaborn, scikit-learn, NLTK, TensorFlow, Keras)
  • R (RStudio, dplyr, ggplot, stats, diceR, mice, Rmixmod)
  • SQL (SQLite, SQL Server, SSMS)
  • Tableau
  • Microsoft Power BI
  • MS Excel (Functions, Pivot Tables, Visualizations)
  • Streamlit
  • git
  • AWS


Other:

  • Statistical Algorithms, Supervised and Unsupervised Learning, Deep Learning, Clustering, Anomaly Detection
  • Data Manipulation and Visualization
  • Computer Building
  • Software/Hardware Troubleshooting
  • Technical Documentation
  • Research
  • MS Word, PowerPoint
  • Canva

Soft Skills

  • Presentation
  • Teamwork
  • Problem Solving
  • Oral/Written Communication
  • Quick Learner

Certifications and Certificates

AWS Certified Cloud Practitioner

Amazon Web Services (AWS) - Certification                                                                                                                   Nov 2023


Highlights:

  • Importance of cloud computing and benefits facilitated by using AWS services.
  • Insights into the diverse array of services offered by AWS spanning areas such as analytics, storage, machine learning, and networking.
  • How an organization can migrate their services to AWS as well as the various frameworks, strategies and tools available to ensure you are utilizing AWS properly and following best practices.
  • Securing your services on AWS with available tools, practices and services available. 
  • Ability to manage your entire organization's resources and platforms on AWS, using AWS. 
  • Exploring costs, setting budgets and understanding the various pricing options available for AWS customers based on their organization's needs and computing requirements.

View Certificate

SQL for Data Science

University of California, Davis - Certificate                                                                                                                     Aug 2023


Highlights:

  • Importance of SQL and the different types of database management systems and roles.
  • Performing Filtering, Sorting, Calculations, Joins and Subqueries in SQL.
  • Efficient coding in SQL and the use of aliases and pre-qualifiers.
  • Need for data governance and profiling and how SQL is used in Data Science.
  • Yelp dataset exploration and analysis with SQL queries.

View Certificate

Machine Learning Specialization

Stanford University & DeepLearning.AI - Certificate                                                                                                    Jul 2023


Courses:

  • Supervised Machine Learning: Regression and Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders and Reinforcement Learning


Highlights:

  • Statistical foundations of various algorithms and techniques in Machine Learning
  • Building ML models from scratch and using popular libraries such as TensorFlow and Keras.
  • Optimizing algorithms performance and strategies to cope with issues such as overfitting and underfitting.
  • Performing error analysis and model evaluation.
  • Understanding best practices in ML across aspects such as model selection, ethics and deployment.

View Certificate

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