Business Modeling, Predictive Modeling, Time Series, Productionization & Scaling

Enable the Finance team make data based spending decisions by analyzing supply and demand for critical resources. Build time-series forecasting models, prod ready R packages, Shiny apps - all end to end reproducible using Docker.

Organize and teach Carpentry workshops to spread data literacy and programmatic skills

Lead a team of data scientists. Deliver insights into telematics engine data using multivariate graphical exploration, anomaly detection models, statistics and machine learning algorithms, using R, R markdown and PowerBI, in MS Azure.Develop functional excellence practices for analytics, like paradigms for exploratory work in R vs production-ready R packages.

Developed anomaly detection algorithms used for engine prognostics; developed production R codes; developed R packages implementing research papers.

Lead projects for the Connected Solutions team, which is focussed on kickstarting development of telematics and analytics products and services at Cummins.

• Awarded a Chairman’s Quality Award, four Best Practice awards, and a Chairman’s Quality Award nomination• Led high complexity and high business impact projects using six sigma for product quality, product management, supply chain and engineering with financial impact from $150,000 to $10 million• Increased quality of six sigma throughput of the organization by implementing a mentoring process consisting of support sessions, survey driven training events and dashboards to monitor performance• Solved problems faced by business leaders using inferential statistics, null-hypotheses testing, linear regression, ANOVA, DOE, sample size estimation, measurement-systems-analysis, control charts etc.• Partnered with CTT leader team members to translate continuous process improvement opportunities into deliverable charters

• Drove $2 million annual cost reduction via improved engine bedplate design.• Delivered analytical and experimental validation of engine components.• Developed calibrated finite element models (within 2-5% error to experimental) to predict on-engine failures• Developed standardized processes resulting in reduced process variation and time to delivery, and improved quality.• Wrote technical reports, wikis and user guides to support technical and non-technical business users.

• Led 7-step problem-solving teams of engineers, data analysts, suppliers & customers to address high customer impact issues through root cause analysis using six sigma tools.• Delivered annual savings cumulative of $250,000 to the business.• Developed algorithms to analyze failure data and standardized reports using BOXI, MS VB and MATLAB.• Increased team efficiency by deploying scripts to automate extraction of data from IBM IMS.

Increased event attendance by 20% as the Secretary. Designed new branding materials & developed saeindiana.org as the Communications Manager.

Worked for Prof Sridhar Kota on compliant systems. Designed and optimized non-linear bi-stable torsional springs systems using Matlab and Ansys Classic.

Worked for Prof Tilbury and James Moyne on developing a semiconductor factory network simulator to investigate IEEE 1588 time synchronization techniques in distributed systems in industrial Ethernet using in XML and JAXB complying with SEMI standards

Worked for Prof Pant on the design and fabrication of indoor remote controlled airships with servo operated thrust vectoring systems. Developed CFD codes to optimize hull shapes to lower drag coefficients.