Sachin Mule

Project To support Digital Transformation on building and implementing statistical models. Technology Python, GitHub, AWS Cloud Platforms, Power BI. Role • To understand business problem and requirements by building domain knowledge and translating to data science problems. • Present the results to internal and client stakeholders in a comprehensible manner with great storyboarding insights and visualization. • Skilled in customer analytics, Customer services and operations analytics, Pricing and performance analytics.

Project-1 IAG Covid-19 Risk Analytics Enhancement. Technology Jupyter notebook, GCP, Google Colab, MySQL server, Tableau, Gitlab, python. Role • To understand business requirement and gather data from different online sources. • Build the models (SIR as pandemic Model, explored with other statistical models like ARIMA, LSTM), computation of transmission rate R0 to forecast future daily cases. • To create dashboard around risk scores computed based on SDH (Social Determinant of Health) & Population at clinic & county level to identify which clinics are at risk. • Presenting to clients and stakeholders, incorporating feedbacks, handling team including data scientist, BA & developers. Project-2 R Shiny application development. Technology MS Office, R Programming, R-Shiny io & RSconnect. Role • To develop R shiny dashboard for multiple data mart which can be validated for given time period. • To create plots, tables and scores based on data like demographics, mortality, treatment and labs data. Also, to filter on some diagnosis data along with parameters like gender, race, region etc. • To publish dashboard at client environment Using RSconnect. Project-3 Reverse Engineering for commercial analytics for payer. Technology MS Office, R Programming, SQL, R-Shiny App. Role • Analysis of ERISA forms for Dept. of Labor, US employees for different payors to identify distributions of its contracts, members over a period of time. • Data Engineering for different modules to streamline data of different forms, schedules including combines, imputations for missing values, members and premiums adjustments with broker and carrier standardization. • Handling Client meeting, team meetings managing of size 8-10 including Data Engineers, QA, Developers along with reviews, feedbacks and appraisals.

Project-1 Asset Health Assessment. Technology MS Office, R Programming, Matlab. Role • Used historical data to fit in statistical distribution to analyze parameters like failure rate, Hazard function, Reliability metrics, Probability of failure. • Estimated Remaining Useful life using Weibull regression with MTBF and Reliability parameters extended to Machine Criticality Analysis. Project-2 Machine Learning Approach to Power Circuit Breaker. Technology MS Office, R Program, Tableau, Python. Role • Provided Predictive Quality control mechanism for improving first pass yield of power circuit breaker manufacturing. • Performed Analysis of failure test cases for each of different tester types and identify specification limits for set parameters like Pre-heat current, Trip current, Trip time, number of turns. Project-3 Application of Data Mining and ML techniques. Technology MS Office, R Program, Tableau. Role • Designed of Experiment for one of Mining Client Prototype (iron ore grade separation), Sampling Techniques and ISO. • Performed Sensor data analysis for one of the mining industries, Rock Shape Identification for cu%, Applied Data Mining and Machine Learning Techniques like Cluster Analysis, Decision Tree. • Performed Acoustic data Analysis to find relationship between various mill operating parameters and plant mics level.

Project Universe Estimation & Sample Design. Technology R Programming, SAS, MS Office. Role • Provided Universe Estimation & Sample Design for Retail Markets for target Region. • Performed Data Validation based on Questionnaires designed for data collection in EXCEL and R, Outlier Detection as well. • Performed Market segmentations, stratifications based on Human population, store density. • Performed Sample Selection using Systematic, Stratified Sampling and Sample Size Determination using Optimum Allocation and Neyman Allocation Methods.

Project Retail product Brands TV advertisement Analysis. Technology Quantum, SPSS, MS Office, Quanvert, Magic Database. Role • Performed Market Research Data Processing and Analyzed for Domestic Clients. • Built good domain understanding in retail and market research including sample questionnaires, open ends, close ends, brand positioning. • Worked on different data formats like SPSS, ASCII, EXCEL. • Performed Data Manipulation with QUANVERT and MAGIC database.

Project Statistics one on one tutoring and Assignments. Technology Calculator Ti-83, MS Office, Digital Whiteboard. Role • Mentoring new joiners to build strong academic knowledge. • Involved in statistical assignments and provided 1-on-1 counseling for students.