Bavneet Kaur Sidhu

Conceptualize, Design and Build an efficient data pipeline for Training, testing, optimization and deploy high quality models into production to run at scale. Applied loss functions and variance explanation techniques to compare performance metrics. Applied statistical and algebraic techniques to interpret key points from gathered data. Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings. Modeled predictions with feature selection algorithms. Leveraged analytics to drive business development, productivity and process improvement.

Statistical modeling such as hierarchical models, time series forecasting, and causal analysis. Modeled predictions with feature selection algorithms. Tested and validated models for accuracy of predictions in outcomes of interest. Compiled, cleaned and manipulated data for proper handling. Ran statistical analyses within software to process large datasets. Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling. Maximized performance by monitoring daily activities and mentoring team members. Accomplished multiple tasks within established timeframes. Evaluated employees' strengths and assigned tasks based upon experience and training.

Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordinations. Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets. Applied statistical and algebraic techniques to interpret key points from gathered data. Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling. Identified, measured and recommended improvement strategies for KPIs across business areas. Discovered stories told by data to present information to scientists and business managers. Extracted and assessed data from databases to drive improvement of product development and business strategies and processes.

Utilized data modeling and evaluation strategies to find patterns and predict unseen instances. Developed ML algorithms to analyze huge volumes of historical data to make predictions. Researched and implemented best practices to improve existing machine learning infrastructure. Wrote clean, clear and well-tested code for various projects such as NLP, AI and ML. Identified and documented detailed business rules and use cases based on requirements analysis. Researched and resolved issues regarding integrity of data flow into databases. Utilized data visualization tools to effectively communicate business insights.