https://dream.weekday.works/redirectToHiringCopilotExtension/

Building new class of Statistical and machine learning models for performance assurance of cloud applications. My role is to solve anything and everything related to ML engine in OpsCruise. 
Some of my primary tasks are: 
✪ Anomaly Detection - Finding application performance problems by detecting unexpected emerging behavioral changes/anomalies in real time using machine learning models.
✪ Scalability - Reducing the application complexity with appropriate ML algorithms and DB selection. Pruning of the models with controled performance.
✪ Optimization - Finding the optimal solutions for the product and business needs with minimal risk.
✪ Semi Supervised Learning - Self learnt label genration, based on user activity with automated reinforcement learning for better and context driven alerts. 
✪ Dynamic SLO - Eliminating the need to select metrics or tune thresholds manually. 
✪ Extended Visibility - Gaining unprecedented real time visibility into cloud applications, relationship to the Kubernetes infrastructure and all service dependencies. 
✪ Automated RCA - Root Cause Analysis to isolate the actual reason behind a cluster of performance issues and to minimize the 'Time to Recover' using graph theory and statistical models.
✪ Model pruning - Developed Model pruning algorithm for unsupervised framework with zero or marginal loss in terms of accuracy . 
✪ Research to Production - Experience in converting various research prototypes into production.

OpsCruise is a platform for cloud operation management for application performance assurance. The platform leverages Artifical Intelligence for IT operations (AIOps) and enables the production teams autonomous performance assurance for their modern cloud applications. It addresses the challenges of aggressive service levels, cloud performance data

Cloud native application performance monitoring solutions provider

Created several Machine Learning models to develop a product to reduce US healthcare expenses.
♠ Gaps In Care - Created “Gaps In Care” feature with potential of reducing two-thirds of the Chronic Disease expenses within US. Used Random Forest Classifier to classify members who are likely to develop or already have developed different chronic conditions and suggested certain preventive tests/routine tests/medical advice to avoid big dollar critical end stage expenses.
US Medicare spending on CKD and ESRD in 2018 was $114 billion. Source: https://www.usrds.org/
♠ Payment Integrity - Implemented density based Clustering algorithms to identify anomalies in an insurance company’s medical claim data in the context of "Up Coding" & “Proxy Billing”.
♠ Increasing Adoption - Developed strategies by designing A/B tests to increase the adoption of the app. 
♠ Episoding Algorithm - Developed algorithms to identify an entire episode of care for Outpatient or Inpatient services. Predicted incomplete episodes with potential missing claims and estimated the actual complete episode cost.

Provider of a teleconsultation platform for employees. The company has developed a digital platform that allows employees to access consultation services from doctors by online booking. The system allows users to book medical services, can look for healthcare plans, and more. The app-based platform has options for booking, online payments, and othe

Provider of a teleconsultation platform for employees

❒ Worked on PD model validation for one European investment bank.

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Acquisition will strengthen Deloitte team with a complement of data-driven biosecurity detection, prevention and emergency response solutions

◑ Worked on surveillance model development for National Stock Exchange of India Ltd. Developed Circular trading detection model using Clustering algorithms to identify possible malicious trade clusters.

✤ CCAR (Comprehensive Capital Analysis & Review) Model Development for Credit Suisse - Developed CCAR scenario generation models, e.g., credit default rate model, Euro spread model and Euro VIX models using ECM (Error Correction Model) on Multiple Linear Regression and Kernel Regression in R. Performed K-fold cross-validations and Stress testing of these models. Implemented Chow test to detect structural breaks. Built generic codes that were leveraged for other models. 
✤ RNIV (Risk Not In VaR) Model Validation for Credit Suisse - Worked on Equity Correlation RNIV and Rate correlation RNIV using Time Series models on the proportional Moves of the implied correlation times series. Developed generic validation codes for the team.

S&P Global

Credit rating database for financial institutions, energy sectors, automobiles, and telecom. It offers analytics for ratings, data, research, and more. Its products include an automation-enabled financial research platform, risk assessment model, credit risk appraisal solutions, integrated data and analytics platform for decision making, and more.

Credit rating database for financial institutions, energy sectors, automobiles, and telecom

Analyzed the impact of various facilities provided to salary account holders compared to the other banks, using Chi-square test for independence. Wrote generic R code based tool and prepared a comprehensive guideline for the bank to use it in the future on similar exercises.

Beacon India

We are the largest Indian Public Sector Banking & Financial Services Company. Headquartered in Mumbai, our national presence across the country with over 22,000 branches and globally across all time-zones at 227 locations in 30 countries, makes us the leader in the sector.

Our legacy ranges back to the British era through the Imperial Bank of India, founded in 1806. Today, we are a conglomerate employing skilled professionals who are successfully taking the legacy forward through our specialized and customized financial services designed to cater the needs of Corporates, SMEs, NRIs & Retail customers. 
Disclaimer: SBI shall bear no responsibility for confidentiality of information shared with SBI through LinkedIn.