M.Sc in Computer Science ( Specialization in Artificial Intelligence )
Ontario Tech University Oshawa, ON
Relevant Coursework
Highlights
- Funded Research Position
- Thesis-Based AI Program
Transforming Data into Intelligence & Ideas into Reality.
Computer Science Graduate specializing in Data Analytics, Data Engineering, and Scalable Software Solutions.
class Data_Analytics:
def __init__(self):
self.name = "Emon Roy"
self.role = "Data Analytics Specialist"
self.stack = ["Python", "SQL", "Excel"]
def solve(self, problem):
return data_driven_solution(problem)
Data-driven recent Master’s Graduate in Computer Science with 3+ years of industry experience and 2 years of academic research in AI/ML.
Expertise in architecting robust data pipelines and reporting systems using Python, SQL, and statistical modeling. I focus on building repeatable workflows and automated dashboards that turn messy operational data into insight led recommendations. I excel at translating technical complexity into clear strategic narratives for stakeholders, ensuring data remains a core asset for decision making.
Ontario Tech University Oshawa, ON
Relevant Coursework
Highlights
North South University Dhaka, Bangladesh
Relevant Coursework
Highlights
Foundational training in data cleaning, analysis, visualization, spreadsheets, SQL, and R for data-driven decision-making.
Advanced data management, interactive dashboards, and automation using VBA and AI-powered Microsoft Copilot.
Data ETL, DAX modeling, interactive dashboards, and Power BI Service deployment.
Tableau Prep data cleaning, spatial analytics, and the design of interactive dashboards for stakeholder storytelling.
Analyze campaign performance, customer behavior, and conversion trends, while preparing reporting-ready datasets and dashboards for business insights.
Monitor payment behavior, analyze risk trends, prepare reporting-ready datasets, and support forecasting and dashboard based decision making.
A Contrastive Learning Approach to Bug Severity Classification with Large Language Model (LLM) Embeddings.
Investigated transformation invariance properties of explainable AI techniques across image transformations using CNN architectures.