Experience

MaxMind

• United States
• Internet Publishing
• 1 - 100 Employee

• Senior Machine Learning Engineer

  • Jan 2022 - Present



Pepperdata

• United States
• Software Development
• 1 - 100 Employee

• Lead Data Scientist

  • Nov 2018 - Jan 2022

  Lead data science projects to provide AI-empowered cloud management products for customers.  Designed and built multiple machine learning embedded reports that assist customers in making smarter resource management decisions. This largely enhanced Pepperdata’s competitiveness in the big data industry.  Develop models to allow automatic optimization of computing resources for the customers. Different techniques were researched, including reinforcement learning, and time series analysis.  Created executive decision dashboards of ~200 Hadoop customer clusters utilizing techniques such as anomaly detection, cost-benefit analysis.  Prepared and presented tutorials on various topics, including time series, reinforcement learning, Spark applications. Show less



Great Learning

• India
• E-Learning Providers
• 700 & Above Employee

• Mentor

  • Sep 2020 - Feb 2021

  Leading tutorials for professionals on the course Artificial Intelligence & Machine Learning. The program is offered in partnership with the University of Texas at Austin. Leading tutorials for professionals on the course Artificial Intelligence & Machine Learning. The program is offered in partnership with the University of Texas at Austin.



RBC Capital Markets

• Canada
• Investment Banking
• 700 & Above Employee

• Data Scientist

  • Apr 2018 - Oct 2018

  Built machine learning products to boost sales performance in the fixed income markets.  Developed a recommendation system for increasing sales efficiency for fixed income securities. - Tested various recommendation techniques (collaborative and content filtering, clustering, etc.) on fixed income transactions. Attained a 2X lift over the existing system. - Designed workflow pipeline for use in production.  Created interactive dashboards in Python that intuitively illustrates insightful customer behaviours.  Conducted exploratory analysis on transaction data and shared findings by writing internal research reports. Show less



Capital One

• United States
• Financial Services
• 700 & Above Employee

• Senior Data Scientist

  • Nov 2016 - Nov 2017

  Optimized application credit policies by utilizing advanced analytics.  Developed a model to predict future customer charge-off rates. - Created programs to engineer thousands of features on multi-core processors. - Utilized different types of machine learning models and presented the solution to senior management.  Provided in-depth analyses on key assumptions for customer valuations models. - Extensively cleansed, transformed and validated customer data from multiple sources. - Analyzed multiple revenue and risk models by comparing model findings to actual results. Suggested changes to increase the effectiveness of legacy customer valuations process. - Worked with the model validation team to implement the new model.  Created an ETL batch process that runs daily on Amazon Web Services which efficiently processes customer data comprising of thousands of variables.  Built highly interactive Tableau dashboards to monitor the performance of the models. Show less



TD

• Canada
• Banking
• 700 & Above Employee

• Senior Analyst - AML Analytics

  • Aug 2015 - Nov 2016

  Analyzed customer data to improve the quality and effectiveness of the anti-money laundering (AML) analytics program.  Led team to create predictive models in order to auto-close alerts. This initiative significantly streamlined the workload of the operations team. - Explored and extracted a large amount of customer data from different sources into a single master database for further analytics usage. - Researched, tested and used machine learning algorithms on customers profiles and transactions data. Techniques include logistic regression, XGBoost, random forest, piece-wise regression, etc. - Developed web scrapers to extract data from online sources for use in predictive models. - Gave tutorials on Python, Neural Networks, and Apache Spark.  Researched new statistical techniques to improve current scenario tuning methodologies. - Recommended and implemented numerical techniques for choosing optimal sample sizes to review. - Helped devise a method for setting multiple parameters at once.  Streamlined the team's software programs, which improved usability, efficiency and accuracy of statistical analyses. Show less



Bell

• Canada
• Telecommunications
• 700 & Above Employee

• Marketing Analytics Specialist

  • Aug 2013 - Aug 2015

  Consulted on data driven decision making for marketing projects within the small business division, resulting in greatly enhanced tracking and superior campaign outcomes.  Supported the door to door sales campaign. Helped increase average weekly sales by 206% in 2014. - Developed weekly dashboards for the door to door channel to communicate KPI trends to executives. - Increased sales of the door to door channel by identifying high potential areas for sales agents. - Built a user-friendly tool that visualized and efficiently extracted business information from a map.  Conducted multiple analytics projects that provide valuable insights about the business. - Forecasted voice line adds for planning purposes. - Predicted telecom spending of potential customers. - Constructed Twitter customer sentiment model.  Significantly increased efficiency within the team by automating data collection and reports generation processes. Show less