Chandra Mouli Mudumba
Product Leader | Phone: +91 6366713601 | Email: chandramudu@gmail.com
Nationality: US Citizen and Overseas Citizen of India (OCI)
Summary
• Accomplished Product Leader and a data scientist with 13+ years of experience in driving successful product
launches, growth strategies, and user engagement across various industries.
• Proven track record in building high-performing teams, leveraging data insights, and delivering impactful
solutions. Expertise in cloud monitoring, telemetry, and capacity management.
• Results-oriented data scientist with a proven track record of leveraging advanced machine learning techniques to
extract actionable insights from complex datasets.
• Skilled in building and deploying robust data pipelines, conducting in -depth data analysis, and developing
innovative solutions to drive business growth. Proficient in utilizing cutting-edge tools and technologies like
Python, SQL, PyTorch, AWS, and GCP.
Work Experience
Persistent Systems - Lead Product Manager Feb 2024 – Aug 2024
Bengaluru, India
o Led e-commerce and AI initiatives for PiCOM (Persistent Intelligent Commerce) launch, resulting in a 70%
increase in average order rate and 60% increase in customer integrations.
o Built state-of-the-art NLP models using PyTorch for text classification and sentiment analysis, achieving an
accuracy of 92% on store optimization
o Utilized AWS SageMaker to streamline model development and deployment, leveraging feature stores for
efficient feature engineering and management.
o Focussed strategic vision by leading the successful launch of PiCOM, a pioneering e -commerce and AI platform
that revolutionized the industry and positioned the company as a market leader .
Dish Network – Sr. Product Manager Sep 2021 - Jan 2023
Bellevue, WA
o Increased user base by 100,000 through personalization and conversational AI recommendations.
o Managed CRM projects, ensuring smooth integration of new functionalities.
o Optimized customer experience and drive sales, we analyzed 20 terabytes of raw customer data using Spark and
SQL to identify key segments and preferences.
o Designed and implemented robust data pipelines usingAirflow, DBT to extract, transform, and load data from
various sources into data warehouses and data lakes.
o Integrated data from diverse sources, including [sources, e.g., databases, APIs, cloud storage] to create a unified
view of the data.
Apexon @ DELL-EMC – Sr Technical Product Manager Nov 2020 - Sep 2021
Palo Alto, CA
o Advanced product roadmap alignment with market needs, achieving a 4 -month lead on forecasts resulting in a
20% market share and $10 million increase in revenue.
o Utilized A/B testing (Optimizely) to drive a 20% increase in user engagement.
o Championed the adoption of advanced technologies, such as generative AI models and reinforcement learning,
to create personalized and conversational AI solutions capable of real -time and context-aware interactions.
Collabera @ Google - Sr. Technical Product Manager May 2019 - Nov 2019
Palo Alto, CA
o Created customer segmentation for Google Vertex AI, a unified MLOps platform.
o Collaborated with data scientists to improve NLU models by incorporating additional training data and refining
algorithm
o Reduced fraud risk scores by 35% through the implementation of a real -time transaction analysis tool powered
by BigQuery, leveraging advanced SQL queries to identify and mitigate fraudulent activities.
o Researched market for vendors with real-time fraud aggregator solutions to reduce delays in forecast
consumptions resulting in $15M savings utilizing deep learning models for supply chain causality.
Collabera @ Fb (Meta) – Sr. Technical Product Manager Jan 2019 – May 2019
Palo Alto, CA
o Led the client’s global cross-functional teams to design and implement user adoption strategies to grow user
base by 100,000 by recommended personalization and conversational AI features.
o Focused on trustworthy information that can be used for decision -making, partnership across the enterprise for
scale and efficiency
o Worked on automatic captions (https://about.fb.com/news/2020/09/new-automatedcaptionspowered)
REPL Group (Accenture) – Sr. Product Consultant May 2018 - Nov 2018
Bentonville, AK
o Developed a data analysis dashboard that increased demand and forecast planning by 60%.
o Led end to end implementation of Google CCAI on the Global Data and Analytics Platform on Google Cloud.
Upskilled a team of self-taught analysts into a high-performance delivery team with ability to scale across
geographies, while driving high engagement.
o Implemented IaC practices using Terraform to automate the provisioning and configuration of cloud
infrastructure, ensuring consistency and reproducibility.
o Drove CRM technology prioritization, aligning capabilities with business objectives.
Blue Yonder – Associate Product Consultant July 2017 - Feb 2018
Roswell, GA
o Product requirements and business strategy for multiple clients
o Managed nine machine learning developers across two geographies, responsible for delivery of a demand
forecasting product.
o Acted as Technical Product manager in a cross-functional team with analytics, product and maintained stable
delivery while managing high turnover, hiring, and training downstream teams to use and deploy the solution.
Aptiva Corp – Lead Product Manager Feb 2016 – June 2017
New Jersey, NJ
o Developed SQL-based performance scorecards for 400+ US retail stores, boosting revenue by $10 million through
improved metrics and evaluation.
o Applied research in deep learning for credit risk modeling: dimensionality reduction, big data segmentation,
generative models, transfer learning. This led to the deployment of the first ML model in API for credit risk.
IBM - Technical Product Engineer Oct 2012 – Jan 2016
Bengaluru, India
o Achieved 95% success rate on production engineering issues of IBM Cloud Security, a cloud security operations
solution that provides visibility and protection for cloud resources.
Skills & Certifications
o Product Management: Agile, Scrum/Kanban, Jira/Confluence, GSuite
o Cloud Technologies: AWS, GCP, Google Cloud AI Platform and Azure Machine Learning
o Analytics: SQL, PostgreSQL, Looker
o Data Engineering: AWS, GCP, Spark, Airflow, DBT
o MLOps: MLFlow, Amazon SageMaker, Kubeflow, , TensorFlow, PyTorch
o NLP: Text Classification, Sentiment Analysis, Topic Modeling
o Programming: Python, SQL, R
o DevOps Infrastructure: Docker, Kubernetes,
o Monitoring and Observability: Prometheus Grafana, CloudFormation
o IaC: Terraform and Ansible
Education
o PG in Computational Data Science, Indian Institute of Science - Sep 2024
o Certified Product Manager and Data Scientist (Tech Mahindra Global Program) – Sep 2021
o B.Sc., Mathematics, Physics, Electronics & Computer Engineering, Bangalore University - Oct 2012
o B.S, Mathematics, Physics, Business Communication University of Oklahoma – Dec 2009
