I'm Sasmita Behera
Skills
About me
I'm a seasoned business systems analyst and risk specialist. I have extensive experience in multinational corporations, where I have honed my skills in analyzing complex business processes and driving innovative solutions.
My expertise includes enhancing algorithms for online fraud detection, significantly improving the effectiveness of fraud prevention strategies. With a strong foundation in both business analysis and risk management, I have successfully collaborated with cross-functional teams to identify vulnerabilities and implement robust solutions.
I bring strong program management skills, overseeing projects from inception to completion, coordinating cross-functional teams, managing timelines, and ensuring alignment with business goals to deliver impactful results.
Resume
Sumary
Sasmita Behera
Innovative business analyst with 9 years of Industrial experience in providing data driven solutions for global clients in Fintech Industry.
- Mississauga, ON
Education
Master of Applied Computing
Sep, 2023 - Apr, 2025
University of Windsor, Windsor, Ontario
With Master of Applied Computing, I have gained advanced technical expertise, combining theoretical knowledge with practical skills to drive innovative solutions in the ever-evolving tech landscape.
Post Graduate Diploma in Operations Management
2020 - 2021
Institute of Management Technology
My Post Graduate Diploma in Operations Management has equipped me with a strong foundation in optimizing processes, improving efficiency, and driving operational excellence in dynamic business environments
Professional Experience
Canadian Imperial Bank of Commerce (CIBC)
Sept 2024 - Present
Role: Business Systems Analyst Co-Op
- Bridging business needs with IT solutions by analyzing processes, collecting requirements, and implementing system enhancements.
- My responsibility centers around streamlining workflows and ensuring technology aligns with business goals.
- Designed and implemented performance dashboards using Tableau that provide actionable insights using key metrics and KPIs, driving system efficiency and supporting business objectives.
- Improved the knowledge base for user accessibility and accuracy through ongoing process refinement, better co-ordination mechanism, and improvised turnaround time.
Amazon Development Centre
Mar 2018 - Aug 2023
Role: Risk Specialist
- Specialized in analytical skills, ETL processes, risk management, Tableau, Asana and other Data Analytics tools for large datasets of Amazon accounts, focusing on buyer accounts’ fraud detection through RDBMS query language using SQL Server
- Developed quantitative payments pipeline ML regulatory and compliance protocols and algorithms for financial analysis, planning and boost analytic capabilities of team to enhance platform security, using machine learning and statistical techniques
- Excelled program management skills using problem solving expertise and able to work in collaboration with stakeholders to streamline report optimization processes and advance analytics for enhanced risk analysis, showcasing strong communication and interpersonal skills.
- Managed workforce operations for the team by strategically delegating reports, handling escalations and ad hoc tasks, ensuring efficient task distribution and timely resolution.
- Exercised leadership in enhancing teamwork and efficiency, leveraging advanced data mining techniques to ensure a secure environment for Amazon's global consumer base aligned with company’s vision
Infosys Limited
Nov 2010 - Apr 2014
Role: Senior Software Engineer
- Developed solutions for a banking client, ensuring smooth integration and adherence to financial regulations.
- Led debugging and code reviews to improve system efficiency and ensure seamless user acceptance.
- Managed requirements gathering and analysis, product backlog logging, and user experience document writing, ensuring comprehensive documentation of use cases to enhance understanding and implementation
Certifications & Accomplishments
Certifications
- Career Essentials in Business analysis
- Agile Project Management
- Data Scientist
- Data Engineering
- Programming Using Python
Accomplishments
- Optimized report generation rules using clustering, reducing false positives.
- Trained 18 team members, developed e-learning modules, and received Star Performer awards for my impactful contributions.
- Improved Task Handling Time through process enhancements, driving business growth with Agile methodologies.
- Recognized for Innovative project during the Demo Day at the University of Windsor.
Projects
k-NN Algorithm
the k-NN algorithm, through its application in k-means clustering within the provided R program, offers a valuable tool for exploring and visualizing patterns within the diabetes dataset. By leveraging k-NN's ability to identify nearest neighbors and group similar data points, the program facilitates deeper insights into the dataset's structure and potentially supports further predictive modeling or classification tasks in healthcare analytics.
Shortest Path Using Dijkstra's Algorithm
The Python code implements Dijkstra's algorithm using the NetworkX library to find the shortest paths in a graph represented by an adjacency matrix. It begins by importing necessary libraries and reading an adjacency matrix. The matrix defines the connections and weights between nodes. Using NetworkX, the graph is created from this matrix, and Dijkstra's algorithm is applied to compute the shortest paths from a specified source node to all other nodes. The results are then visualized by highlighting the shortest path on the graph, demonstrating the algorithm's application in route planning and network optimization tasks.
Empowering Sales Excellence
This is a meticulously crafted a dynamic sales Power BI dashboard project aimed at revolutionizing how businesses perceive and enhance their sales performance.Through adept data manipulation and visualization techniques, I've transformed raw sales data into actionable insights. From identifying top-performing products to tracking regional sales trends, this dashboard offers a holistic view of your sales landscape. One of the standout features of this project is the integration of advanced forecasting models. By leveraging predictive analytics, stakeholders gain invaluable insights into future sales trends, enabling proactive decision-making and strategic planning.
Airbnb Data Analysis
This project analyzes the New York City Airbnb Open Data set to uncover trends, patterns, and correlations that can inform stakeholders and drive strategic planning in the short-term rental market. Used Python for data preprocessing, feature engineering, and data visualization. Power BI has been used for creating interactive dashboards and reports to facilitate exploration and insights discovery.
Payment Risk Shield
The Payment Risk Shield project aims to develop a robust and scalable payment risk management system that leverages machine learning, data analytics, and rule-based engines to identify and mitigate payment fraud. This system will provide real-time risk assessment, automated decision-making, and customizable risk scoring to help businesses minimize losses and optimize payment processing.
HarvestPro Prediction
HarvestPro is an advanced agricultural prediction tool designed to forecast crop yields and optimize farming practices using machine learning and data analytics. This project leverages various data sources to provide accurate and actionable predictions to help farmers make informed decisions.
$ Loss Prevention Monthly
Projects
Worldwide Org Support
Awards
Recommendations
Lacey Ramsey
Senior Program Head, Amazon
I’m fortunate to work with many bright individuals at Amazon, but Sasmita is truly exceptional. She is curious and kind, intelligent and empathetic. Sasmita’s ability to dissect a problem and suggest a clever solution is unmatched. She sets a high standard for everyone around her and gently encourages the group to keep up, watching carefully for peers that need a little extra help. She’s an inclusive and supportive team member with an incredible future - I only hope that I’ll get a chance to work with her again someday!
Vamsey Krishna
Risk Specialist, Amazon
Sasmita and I have worked together for 2 years. She is a great asset to any team which she is a part of. She has exceptional logical analytical and problem solving skills which makes her excel in any of the analytical related roles. She always has a great sense of responsibility and ownership, doesn't let any task incomplete. We have collaborated in many of the projects in which she has made some huge contributions with unique solutions for the complex problems. I would definitely want to work with her in future again.