Overview
Work History
Education
Skills
Websites
Professional Highlights
Timeline
Generic

SAYED FAYAZ

Toronto,Ontario

Overview

8
8
years of professional experience

Work History

Junior Machine Learning Engineer

Reliable Accountancy
Toronto, ON
01.2022 - Current
  • Data Pipeline Development: Collected, cleaned, and pre-processed structured/unstructured datasets from SQL databases, APIs, and internal systems to ensure high-quality inputs for model training.
  • Exploratory Data Analysis (EDA): Conducted EDA using Pandas and NumPy to identify data patterns, anomalies, and actionable insights for financial forecasting.
  • Machine Learning Solutions: Developed regression and classification models (e.g., LightGBM, Random Forest) to automate invoice processing and enhance risk assessment accuracy in accounting workflows.
  • Algorithm Implementation: Built, tested, and deployed ML algorithms (clustering for customer segmentation, anomaly detection for fraud identification) using scikit-learn, TensorFlow, and PyTorch.
  • Model Optimization: Evaluated performance metrics (AUC-ROC, F1-score) and refined models through hyperparameter tuning and cross-validation, ensuring reproducibility via GitHub and Confluence documentation.
  • Cross-Functional Collaboration: Partnered with data scientists and software engineers to design end-to-end ML pipelines aligned with accounting compliance standards.
  • Stakeholder Communication: Translated model outputs into non-technical insights using Power BI dashboards and executive summaries, enabling data-driven strategic decisions.

Data Analyst

Alliance One
Toronto, ON
01.2017 - 12.2021
  • Data Analysis & Insights: Analyzed financial and operational datasets using Python, SQL, and Power BI to uncover actionable trends, directly informing cost-reduction strategies and process improvements.
  • Statistical Problem-Solving: Leveraged regression analysis, clustering, and hypothesis testing to resolve business challenges, enhancing forecast reliability and operational decision-making.
  • Database Optimization: Designed and maintained SQL/NoSQL databases and ETL pipelines, streamlining data collection and improving system efficiency for enterprise reporting.
  • Stakeholder Reporting: Produced executive-level dashboards and presentations in Power BI to translate complex data insights into clear, actionable recommendations for leadership teams.
  • Cross-Functional Collaboration: Partnered with finance, IT, and marketing teams to align data solutions with business objectives, driving adoption of analytics tools across departments.
  • Data Governance: Established automated quality assurance protocols and access controls to ensure compliance with GDPR and enterprise data security standards.
  • Industry Best Practices: Integrated Agile methodologies into analytics workflows and led team training sessions on tools like Power BI and Snowflake.
  • Stakeholder Communication: Simplified technical findings into digestible insights for non-technical audiences using visualizations and executive briefings.

Education

Advance Diploma - Artificial intelligence

Centennial College
01.2023

Certificate - Technology Foundation

Centennial College
01.2020

Bachelor’s Degree - Science

University of Nangarhar
01.2016

Skills

  • Data analytics
  • Machine Learning
  • Generative AI
  • SQL
  • MS SQL
  • PostgreSQL
  • NoSQL
  • Power-BI
  • Excel
  • ETL
  • ELT
  • Stored Procedures
  • Scheduled Jobs
  • Python
  • Langchain
  • Streamlit
  • Flask
  • Gradio
  • Software Development Lifecycle (SDLC)
  • R programming
  • Statistics
  • Root Cause Analysis (RCA)
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn
  • SKlearn
  • TensorFlow
  • PyTorch
  • Keras

Professional Highlights

Linear Regression, Logistic Regression, Random Forest, SVM, LightGBM, K-Nearest, clustering algorithms, Neural Networks, RNN, CNN, LSTM, Tokenization, stemming, lemmatization, Language Models (e.g. GPT, BERT), named entity recognition (NER), Dialogue Systems, Chatbots, sentiment analysis, Developed and integrated an advanced chatbot assistant using LLMs such as Watson, LLaMA2, OpenAI's GPT-4, and GPT-3.5 models, GitHub, Jupyter Notebooks, Google Colab, Kaggle, Oracle SQL Developer, SQL Server, No SQL Databases, Windows, macOS, Linux

Timeline

Junior Machine Learning Engineer

Reliable Accountancy
01.2022 - Current

Data Analyst

Alliance One
01.2017 - 12.2021

Advance Diploma - Artificial intelligence

Centennial College

Certificate - Technology Foundation

Centennial College

Bachelor’s Degree - Science

University of Nangarhar
SAYED FAYAZ