Syed (Ammad) Sohail Email & Phone Number

Toronto, On, Ca

Montreal, Quebec, Canada

- Developed a scalable workflow using OpenAI's text-embedding-ada-002 model to process over 1 million rows, optimizing performance for large-scale datasets- Automated data preprocessing and API integration with Python, converting dataframes to JSONL files and consolidating outputs into a single CSV for analysis- Leveraged Dask DataFrame for efficient handling of large datasets, enabling flexible batch processing and enhanced workflow scalability

Toronto, Ontario, Canada

- Migrated and optimized LightGBM Machine Learning (ML) model scripts from Microsoft Azure ML to Databricks using PySpark, Spark SQL, and Python, enhancing compatibility and performance by 20%- Conducted A/B testing to assess the impact of parameter modifications on the ML model performance, achieving on average, 5% improvement in the R-squared value on both training and test datasets - Developed and automated a robust script to integrate and process outputs from two supervised machine learning models, seamlessly combining predictions to feed downstream ML workflows, reducing processing time up to 60% - Maintained version control of the repository using Azure DevOps(Repos and Git), ensuring efficient tracking, management, and updates of changes- Collaborated with BI, Data Science, and Data Engineering teams to design and integrate data solutions aligned with business goals, enhancing decision-making through actionable insights- Performed data validation checks by running SQL queries executed in Azure Data Studio within the Synapse Dev Environment, comparing and ensuring consistency against Spark SQL queries run in Databricks

Montreal, Quebec, Canada

- Lead the design of intricate data architectures, utilizing cutting-edge cloud technologies such as Microsoft Azure, to optimize data workflows and storage solutions- Implemented automated data collection workflows leveraging R, Python, and API integrations, enabling efficient aggregation and processing of large datasets, resulting in improved data availability and accuracy for analytical insights - Designed and automated ETL workflows leveraging medallion architecture and orchestrated with Azure Data Factory, enabling seamless processing of datasets from diverse sources within only 35 minutes, ensuring scalability and reliability

Rousch Power Plant

- Performed Isolation and De-isolation of the plant apparatus based on the safety permit system of the company- Prepared Key Performance Indicator (KPI) reports, providing valuable insights into the plant's performance metrics and suggesting areas for improvement- Analyzed process flows in combined cycle power plants (gas and steam-powered) to trace the paths of gas and water, identifying potential performance-impacting areas through system diagnostics in the control room- Conducted detailed inspections and maintenance of faulty components, employing a systematic approach to identify issues promptly- Utilized root cause diagnostics techniques to trace out the origin of faults, enabling accurate problem identification

Islāmābād, Pakistan

- Managing ARI (Availability, Rates, and Inventory) of different hotels on the website's back end.- Assisted the Customer Experience team for a week in building sustainable relationships of trust through open and interactive communication, handling more than 300 tasks assigned on platforms such as HubSpot, WhatsApp, etc.

Masters In Management Analytics

Applied Data Science Program, Data Science

Bachelor Of Engineering - Be, Mechanical Engineering

Activities and Societies: Volleyball, Table Tennis, Environment Club, Fine Arts Club, Book Club, Literary CircleProjects include.

A-Levels, Pre-Engineering, 3 A*

Activities and Societies: Cricket, Volleyball, Table Tennis, Essay writing

O-Levels, Social Sciences, 4 A* 4 A

Activities and Societies: Deputy Head Boy, Class Representative, Cricket, Table Tennis, Volleyball, Planting Organic farm.