-- Mentored US/UK learners in their industrial projects; Monitored project trajectory andsupervised data mining, data cleaning, modelling-- Delivered compelling Tableau Dashboards that transformed complex data into actionableinsights, effectively communicating results to stakeholders and driving informed decision making-- Led team of 4 junior technical research assistants to develop E-learning content for Python,MySQL, ML, Tableau

--- Crafted MySQL queries on Snowflake to collect cross organizational data, laying groundworkfor analyzing monthly test data from different grades, state boards, subjects, etc.--- Streamlined data by using Python libraries (NumPy, Pandas) for cleaner, efficient analysisof student’s performance in monthly tests, enhancing data-driven curriculum design--- Implemented hierarchical clustering ML algorithm to cluster the easy, medium, and hardconcepts by analyzing monthly test performance data, adjusting the proficiency level ofsessions; Achieved 40% and 24% uplift in average score of L1 and L2 level studentsrespectively; Observed a substantial enhancement in the cophenetic coefficient, rising from0.45 to 0.68.--- Analyzed session recording data; Leveraged Random Forest Classifier to identify thesignificant factors causing drop off of students from session; Modified session flow to reducestudent session drop-offs by 60%, by identifying and addressing key factors--- Engineered Tableau dashboards for insightful data visualization and assessing businessimpact of pedagogy amendments on E-learning product’s effectiveness