Bishrut Jayaswal

• Tutored and mentored 140+ students in analytics subjects via vis-à-vis online lessons on the pedagogy platform of Chegg • Achieved 100% positive reviews from cross-geographical undergrad, grad, and doctorate students across 400+ lessons • Proficient in R programming and specialized in teaching 16 analytics subjects SQL, Excel, Mathematics and quantitative skills • Covered diverse domains - Survey analysis, descriptive and exploratory statistics, market basket analysis, root cause analysis, probabilistic simulations, interactive plots, networks, organizational charts, genome analysis and machine learning • Covered diverse domains – Survey analysis, clustering, SVM, random forest, regression, t-tests, descriptive and exploratory analysis, market basket analysis, root cause analysis, sentiment analysis, probabilistic game theory simulations, interactive plots, networks and igraphs, OrgCharts, Mullighan(genome) analysis and machine learning.

• Delivered cross-functional projects, dashboards and automation solutions, impacting a 25% increase in revenue from daily sales, 29% increase in organic traffic and 17% increase in lead conversions for Nykaa’s cosmetics business • Collaborated with brand managers to automate Tableau dataflow and provide ad-hoc insights to maximize sales by dissecting category/brand wise SKU sales trends and customer purchase patterns to facilitate market basket analysis • Analyzed visitor click-through patterns for improved discernment of conversion funnel metrics, identified ways to minimize bounces and highlighted KPIs corresponding to A/B testing of prosperous marketing campaigns • Deployed an anomaly detection algorithm to trigger alarms on observing special cause variation in Omniture logs, to facilitate root cause analysis. Accelerated critical time to action, eliminating open tickets by 23% in the first month of launch • Created ingestion pipelines using R to extract and transform over 450 MB/day of real-time customer data via APIs and load it to Amazon Redshift data warehouse

• Achieved $22M cost savings by performing exploratory analysis and predictive modeling for refining business • Launched innovative dashboards for global logistics and refinery operations thereby helping reducing $31M in crude sequencing and annual demurrage charges • Led a team of 4 in developing automation solutions for cancer detection at Reliance Life Sciences - reduced diagnosis time by 95% and false positives by 99% • Set up an ETL pipeline and a Tableau dashboard for providing cognizance on key economic and compositional factors concerning crude procurement to circumvent uninformed decisions during future purchases • Performed Customer Segmentation into distinct buckets to identify loyalists, opportunists, fence sitters and inactive customers using sales and VOC data to aid in creating personalized and curated schemes for each bucket in forthcoming sales cycles • Designed a data transformation algorithm in R to upload historical crude prices and production data to a central data lake

Relevant Coursework: Project Management Program Management Operations Management Supply Chain Lean Manufacturing Industrial Statistics Applied Ergonomics Hybrid Electric Vehicles Brand Management