Piyush Wanhere
Pune
Summary
- Result-oriented professional, with over 6.7 years of experience, pursuing a dynamic role in ML Operations, Business Analysis & Data Science within the IT industry in an organization of high repute for mutual growth and success. PROFILE SUMMARY
- Consultant, KPMG: Specializing in Machine Learning Operations and Data Science with expertise in Azure CI/CD pipeline implementation.
- MLOps Engineering: Extensive experience deploying, monitoring, and optimizing ML models in production, with proficiency in AWS, Azure, Docker, and Kubernetes.
- Data Science & Advanced Analytics: Strong background in predictive modeling, machine learning algorithms, and data engineering, focused on scalable and reliable AI/ML solutions.
- Time Series Forecasting: Leveraged AWS Forecast for enhanced predictive accuracy in manufacturing operations, improving efficiency and decision-making.
- Collaboration & Innovation: Contributed to internal discussions on emerging ML methodologies and collaborated with specialists to optimize performance, automate workflows, and integrate ML into business operations.
- Strategic Consulting & Project Management: Skilled in stakeholder management, project execution, and strategic consulting, supporting global initiatives, sales pursuits, and operational improvements
Overview
9
9
years of professional experience
1
1
Certification
Work History
Consultant
KPMG
Pune
10.2022 - Current
- Built a machine learning model to predict the likelihood of customers signing loans electronically using financial history
- Performed data preprocessing, feature engineering, and model optimization (Logistic Regression, Random Forest, SVM)
- Achieved a 20% improvement in prediction accuracy, reducing manual follow-ups and processing time
- Led the development of CI/CD pipelines, integrating advanced ML tools and managing model training, versioning, automated retraining, and governance
- Deployed, tested, and optimized ML/AI models in production, ensuring scalability and reliability; provided ongoing performance monitoring and maintenance
- Partnered with Data Science and Dash development teams throughout the project lifecycle, supporting EDA, feature engineering, and model optimization
- Managed Azure app services, container registries, and multi-region environments; set up DEV, TEST, and PROD across 32 regions, ensuring seamless data migration and deployment
- Created comprehensive deployment documentation and collaborated on emerging ML methodologies to enhance model performance and alignment with business goals
Data Science (Sr. Analyst)
Infosys
Pune
01.2020 - 10.2022
- Performed inventory and sales forecasting using Holt-Winters, ETS, XGBoost, Random Forest, and AWS Forecast; applied ADCF for accurate trend identification in non-stationary data
- Enhanced forecasting by integrating external data (e.g., GDP, climate) and executing feature engineering techniques to improve model Precision
- Partnered with stakeholders to define project scope, create estimates, and develop charters, utilizing SDLC and agile methodologies
- Led training and mentorship, providing feedback and recognition to foster high team performance
- Designed, developed, and trained ML models in SageMaker; conducted data analysis and preprocessing to derive key insights
Business Management (T.M.)
Capital First
Mumbai
06.2017 - 08.2018
- Conducted a comprehensive review of core banking solutions and modules, delivering a Current State Assessment Report and performing gap analysis to recommend strategies
- Applied consulting frameworks and methodologies to assess issues and develop innovative solutions to meet client needs
- Led PMO activities, documenting business requirements (BRD), SOPs, and scope of work (SOW) to ensure alignment with project goals
- Evaluated vendors and bids based on experience, financial stability, and company size; facilitated proposal preparation and reviewed project estimations to ensure successful outcomes
- Translated business strategies into operational tactics, streamlined systems for operational efficiency, and managed change management processes within cost, time, and quality parameters
Associate (Internship)
Indiabulls Distribution Service Ltd.
Mumbai
01.2016 - 09.2016
Education
Post Graduate - Data Analytics & Optimization
Carnegie Mellon University
01.2019
MBA -
IBS Business School
Mumbai01.2016
B.E - Electronics and Communications Engineering
P.R.M.I.T&R
Amravati01.2013
Skills
- Machine Learning Expertise
- Azure DevOps Automation
- Docker Deployment Proficiency
- Proficient in Python
- MLOps Implementation Expertise
- Time Series Forecasting
- Proficient in MLFLOW
- Containerization Expertise
- Git Repository Management
- Proficient in Data Science
- Amazon Forecast Expertise
- Data Analysis
- JIRA
- Project Management
Certification
- Microsoft Azure Data Scientist Associate(DP-100)
Languages
- English, Hindi & Marathi
- Address: Pune, Maharashtra- 412207
Timeline
Consultant
KPMG
10.2022 - Current
Data Science (Sr. Analyst)
Infosys
01.2020 - 10.2022
Business Management (T.M.)
Capital First
06.2017 - 08.2018
Associate (Internship)
Indiabulls Distribution Service Ltd.
01.2016 - 09.2016
Post Graduate - Data Analytics & Optimization
Carnegie Mellon University
MBA -
IBS Business School
B.E - Electronics and Communications Engineering
P.R.M.I.T&R
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