Bobby Saini, Cfa Email & Phone Number

Toronto, Ontario, Canada

Toronto, Ontario, Canada / Ny, Usa

Consulting areas include: Developing and implementing machine learning models, data engineering & architecture (AWS & on-premise), managing software development (devops, CI/CD).Lead a team of developers building and enhancing a food safety and technology application on AWS for food processing companies and wholesalers. (Angular/Node JS/Sails/mySQL).Design and build data engineering pipeline solutions utilizing AWS Data Pipeline, Lamda, Glue, and S3. Including streaming IoT data from sensors.Advising on mySQL database and data lake (S3) design considerations and report building (SQL) and dashboards for customers using the application.Designing ML capabilities and foundation for future applications using python on AWS Sagemaker. Potential applications include image recognition/classification for produce and equipment maintenance prediction.Provide custom data analytics and reports (SQL) for customers currently on the platform.Design, build, and deployment of dashboards using Seaborn, Plotly, and Bokeh packages in python.

New York, United States

Modernized the organizations reporting architecture which include redesigning their ETL processes to create an improved data warehouse and reporting capabilities.Managed the Reporting & Analytics team in the lending division with major financial institutions (TD Bank, CIBC) and the Gov’t of Canada as our main clients, supporting and providing analytics and dashboards.Design, build, and deployment of dashboards in PowerBI.Transitioning the organization's reporting capabilities to become more automated using SQL, Python, and PowerBI.Built predictive models (logistic regression) to determine the likelihood of default of loan products and provided mitigation recommendations and email/print communication strategies to minimize default risk and improve collection rates.

Toronto, Ontario, Canada

Developed data pipelines from data extraction (SQL, SAS), subsequent data cleansing and engineering (Python), and deploying to target where consumed for dashboards (Tableau, Excel).Provided technical expertise as the lead data specialist on cross functional team and created/provided analytical products across various groups in the business banking division.

Toronto, Ontario, Canada

Assembled and managed a high-performance team of jr data scientists/business analysts that used data analytics and machine learning to drive business decisions.Built, trained, and deployed a logistic regression model to predict default risk and payment patterns of our 1.2M+ regular monthly customers, which drove the targeted collection strategy as well as financial reporting to regulators.Developed additional models tackling a number of business problems including the lifetime value of a customer (regression), targeted marketing campaigns (classification), and predicting hardware (customers transponder unit) failure based on toll highway usage patterns.Conducted extensive data cleansing and feature engineering on large data sets often with 10M+ rows, and 20-60 features.Predicted and managed the risk associated with our organizations >$1B accounts receivable portfolio and using those outputs to determine it’s true value.Corporate Projects Investment Analysis - Thorough analysis of capital projects for viability and NPV analysis. Working with investment decision makers.

Toronto, Ontario, Canada

Retrieved, cleaned and analyzed data from our offshore logistics operations from a variety of legacy systems used at the retailer.Became proficient in the ETL process using the tools available at the time included MS Access.Provided detailed analysis of transit and lead times required to ensure adequate stock of goods be available for distribution to stores.Developed into an advanced level in SQL with daily exposure to the data warehouse and extracting data necessary for analysis.