Indrasis Mondal, Ms, Mba Email & Phone Number

Kirkland, Wa, Us

Pittsburgh, Pa, Us

Niche is the leader in school and college search. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools Niche is the leading platform connecting students and families with colleges and schools, and last year alone, more than 50 million people used Niche. Niche is the leading authority of schools, colleges, and best places to live in America rankings. Niche is also the pioneer of the Direct Admissions program that simplifies the college admissions process by enabling colleges to offer acceptance and scholarships to students based on their Niche profile, eliminating the need for an application. I lead the data & AI organization at Niche encompassing data engineering, data platform & infrastructure, data science & machine learning, AI, analytics & reporting, data governance, and data products. I am responsible for establishing the vision, strategy, and capabilities for data democratization to ensure key KPIs and insights are accessible internally for proactive and timely decision-making across the business. I also am responsible for driving the strategy and capabilities for monetization of Niche's key data assets through customer-facing performant data and insights products. As a leading expert in machine learning and AI, I am also responsible for formalizing and developing the Niche's AI/ML vision, strategy, and, capabilities. Data is pivotal at Niche, as the intelligence, insights, models, and algorithms from the data team power core products and experiences, rankings, data licensing, and customer-facing reporting as well as internal business reporting and analytics.

Pittsburgh, Pa, Us

In this podcast, I discussed key strategies for bridging the gap between business teams and data teams to ensure the value and impact of data are visible across the organization.🎧 Apple Podcasts https://lnkd.in/gdrD4kFY , Spotify https://lnkd.in/gtruf8xS

Pittsburgh, Pa, Us

In this podcast, I discussed how businesses can leverage AI in building a 360-degree customer view to create a seamless, proactive, targeted, and personalized experience across the entire customer lifecycle, leading to increased loyalty, product success, operational efficiency, and revenue growth.https://www.projectpro.io/podcast/title/360-degree-customer-view-with-generative-ai

Pittsburgh, Pa, Us

Title: AI Advice to Auditors: A SummaryIn this talk, "AI Advice to Auditors," I explored the exciting (and sometimes challenging) world of auditing AI systems. We explored how the auditability (trust, transparency, relevancy, reproducibility, explainability) of AI systems varies depending on the type of AI model from classic machine learning (think regression and classification) to the newest generative AI like ChatGPT.While AI offers tremendous potential in auditing, careful consideration must be given to ensure auditability. I advocated for fine-tuning or RAG approaches to overcome the limitations of pre-trained Generative AI models, ensuring the outputs are explainable, reproducible, and relevant for effective audit integration.

Pittsburgh, Pa, Us

Title: Accelerating Value and Impact of Data Organization by adopting a product mindset Abstract: Data is known to be the most valuable resource of the 21st century, and it is the foundation, and catalyst for AI, product and business strategies, and capabilities for successful companies. In this session, we explored how adopting a product mindset can help data organizations develop capabilities to accelerate significant value and impact for the business.

Pittsburgh, Pa, Us

In this podcast, I discussed with the host JP Valentine how data data and AI could be good highlighting how at Niche we leverage data and AI to simplify searching and enrolling in colleges and schools easy, accessible, transparent, and equitable for of students and families.In this podcast, I discussed with the host JP Valentine how data data and AI could be good highlighting how at Niche we leverage data and AI to simplify searching and enrolling in colleges and schools easy, accessible, transparent, and equitable for of students and families. More specifically we discussed, - How Niche simplifies researching and enrolling in schools - Utilizing data to connect students and colleges - Applying AI to match students with suitable colleges - How the new data team is transforming Niche with AI and ML

Pittsburgh, Pa, Us

The Top 50 AI Award recognizes outstanding Chief AI Officers (CAIOs) nationwide for their exceptional leadership, innovation, and commitment to diversity in the field of Artificial Intelligence. This prestigious accolade celebrates individuals who have made a significant impact on the industry, championing ethical AI practices and fostering inclusive environments. Join this exclusive community of trailblazers, setting new standards for excellence in AI leadership. The Top 50 AI Award not only honors individual achievements but also signifies a commitment to responsible AI practices that shape the future of technology. The Top 50 AI Award is issued by the National Diversity & Leadership Conference.

Pittsburgh, Pa, Us

In this podcast, I discuss about AI Data Products and share my journey and perspective into AI.

San Francisco, Ca, Us

As the leader of the data science and analytics organization, I was responsible for developing and maturing DocuSign's data strategy, platform, and capabilities that helped establish data driven decision-making cultures in DocuSign across product, marketing, PLG, customer, and business functions and helped DocuSign to scale from $600M to $2.7B yearly revenue. I built a highly successful and trusted data organization from the ground up encompassing data science, analytics, engineering, and product management functions that helped enable easy, governed, and secure access to certified data and insights across the organization. Advanced DocuSign's experimentation, ML, and predictive analytics capabilities enabling faster innovation, better product adoption and customer experience, higher business efficiency, and significant financial and customer impacts.Some of the key objectives my organization and I are responsible for were,• Develop strategy and capabilities to ensure the availability of high-quality, governed, and easily accessible certified sources of truth data that allow DocuSign to have a complete 360-degree view of its customers, products, and partners. • Unlock the full value of the product, marketing, and customer data through data science modeling and analytics to help DocuSign have the right insights at the right time• Deliver data science models, data products, and capabilities to enable effective product & marketing strategy, drive PLG, and maximize product usage, adoption, and customer experience• Build practice and capabilities to transform experimentation into a seamless part of the product development lifecycle• Develop, test, and benchmark AI/ML models, algorithms, and products to deliver the best-in-class AI experience• Mature product instrumentation and telemetry capabilities, quality, and availability• Develop strategy and policy for data governance and stewardship to deliver self-service of data & insights in a secure and governed way

San Francisco, Ca, Us

The AI100 Awards is a prestigious annual award that recognizes and celebrates the achievements of individuals who have made significant advancements in the field of Analytics & AI in enterprises. The AI100 Award is issued by AIM Media House and MachineCon

San Francisco, Ca, Us

Title: Employing AI to extract actionable insights from qualitative user feedback/commentsAbstract:Everyday, thousands of DocuSign users leave qualitative product reviews via in-product surveys. These reviews represent a trove of rich data on user pain points and potential product innovations, but this information has been largely untapped due to the lack of a process for sifting actionable, product-specific comments from the larger dataset. In our presentation, we will describe how we built and deployed a multi-layer ensemble of models to organize and analyze qualitative user comments, allowing internal end users to drill down on relevance, sentiment, and topic

San Francisco, Ca, Us

Abstract:Product School webinar about what is Data Product Management, why it is critical for every modern data organization, and what are the key qualities for a successful Data Product Manager.https://www.linkedin.com/video/event/urn:li:ugcPost:6886685267139289089/

San Francisco, Ca, Us

Abstract:Data is the foundation and guide rails for any successful business strategy. In this podcast, I discuss how to establish a data science organization as a strategic partner to the business to help form business and product strategy and help drive top-line growth. I also discuss how adopting a product mindset allow data science organization to be strategic and develop scalable product and capabilities that enable significant impact on the business and customers.

San Francisco, Ca, Us

Abstract:In this podcast, I talk about building a data-driven product organization and why it is important in today’s times. I also discuss the benefits of aligning the product and GTM teams in a company and understanding the collective goals and being data-driven on how to develop and grow products successfully.

San Francisco, Ca, Us

Abstract:In this podcast, I discuss how organizations can go about developing AI strategies and capabilities to ensure the AI solutions are creating optimum value while maximizing investment, efficiency, and customer experience. I also discuss the major challenges organizations encounter when it comes to AI and how they can address them effectively & strategically.

San Francisco, California, Us

Product School is a global leader in Product Management training with a community of over one million product professionals. As a featured speaker, I help inspire the next generation of Product Managers to create innovative data products and apply best practices in their work.

Santa Monica, Ca, Us

As the leader of the data product and solution organization, I was responsible for leading a global organization of engineers, product managers, architects, data scientists, and analysts to develop and deliver high-impact data products and services that helped Hulu optimize product development and experience, subscriber growth, ads targeting, content performance and marketing, revenue & business operations. Helped architect and scale Hulu's data platform and analytics capabilities to collect, process, store, and serve 150K+ events per second in real-time and 10TB+ data per day with sub-second latency. Established data architecture, dataops, and data product management functions and grew the organization from 20 to 80+ people. Some of the key data products and services my organization is responsible for, • Hulu's in-house A/B testing and experimentation solution and service • Real-time big data exploration and analytics tool. It enables real-time ingestion, tagging, processing, storage, and exploration of petabyte-scale data at sub-second latency • Hulu instrumentation tag system (10 million of events per minute) • Marketing data products and solutions for subscription and campaign management • Hulu’s internal BI, product analytics and operational reporting products and API services • Data experience products which are a suite of various in-house data visualization products including a unified data portal that provides one-stop access and easy searchability of all reports, dashboards, KPIs, certified data, and business glossary • Products for planning and analyzing content performance and investment opportunity • Various 360 data marts and DWs for key business domains

Santa Monica, Ca, Us

This award goes to a technology trailblazer who has implemented a world-class data science program within his or her organization through data visualization.

Santa Monica, Ca, Us

Keynote Panel: Solving Business Problems with AI

Santa Monica, Ca, Us

Title: Real-time Operational Intelligence at Hulu (at Petabyte Scale)Abstract: Data is one of most powerful assets for companies today and a key driver for innovation, product development and business efficiency. Operational intelligence allows modern organization to use that data asset in real-time to enable immediate insights to their business operations and allow rapid decision making for strategic advantage. In this presentation we will walk through the operational intelligence capabilities Hulu has built to process tens of millions of events per minute to enable fast exploration of data and real-time decision making

Santa Monica, Ca, Us

Keynote Panel Moderator: The Future of Artificial Intelligence

Seattle, Washington, Us

As a key leader of the data organization, I was responsible for developing, evangelization, and executing the strategy and vision for data products and capabilities to enable the democratization and monetization of the data assets as well as establishing a data-driven culture. I developed the plan with a detailed roadmap, impact, and budget, and secured $5M funding from the board. Led the development of the data analytics platform and key capabilities to enable easy and fast access to high-quality data & and insight for internal decision-making and customer-facing applications. Led the development of data science and data governance capabilities. Developed and led key functions of data product management, data platform, and analytics solutions.Selected Projects and Accomplishments• Developed and championed Getty's Data Democratization and Big Data Analytics strategies and capabilities• Developed the budget and secured $5M in funding from the board of directors to execute the strategies• Developed and productionized GEDI, Getty's AWS-based big data and analytics platform that supports and enables capabilities such as Advanced & self-service analytics, data harmonization, visualization, exploration & reporting, data as a service (DaaS), data science, data governance & lineage, and a 360-degree view of the customer & business• Guided the migration of Getty's web analytics platform from Omniture to Google Analytics which resulted in $1M in savings over 2 years when considering the total cost of ownership• Helped achieve massive simplification of enterprise data warehouse data by reducing the number of user-accessible tables from 1150 to 20 core tables• Helped recruit and develop three new functions and programs; data engineering and platform, data science, and analytics solution• Developed product vision and strategy for the contributor stats; a content analytics and performance app for Getty contributors• Presented my work at multiple leading conferences

Seattle, Washington, Us

Presentation Title: Data Strategy – Essential Building Blocks and Key Barriers for Long-term SuccessAbstract: Data has become a strategic assets for most modern organizations and more and more organizations are focusing on setting up a vision to use and manage data to gain competitive advantages and attain one or more of the organization’s goals. In this presentation, we are going to explore what is a data strategy, what are the essential building blocks of a successful data strategy, and we will use a real life big data strategy case study to elaborate these concepts in details. Finally we will learn about the key barriers for most important but often ignored component of a data strategy; the long-term sustainability.

Seattle, Washington, Us

Presentation Title: Data Democratization at Getty ImagesAbstract:In this presentation Indrasis will walk through how Getty Images have developed an effective data democratization strategy and used big data tools and technologies to develop a self-serve data analytics platform to harness and analyzes its diverse and complex data.https://events.gartner.com/#/en/navigator/bi15/whoshere/speakers/11157367/speakerdetail/sessions-tab?sortedby=lastname

Seattle, Washington, Us

Presentation Title: Developing Strategy & Capabilities to Enable Data DemocratizationAbstract: Data is one of most powerful assets for companies today and a key driver for innovation, product development and business efficiency. But to harness the most out of that powerful assets it is essential that everyone in the organization have access to the data without going through lengthy IT process. Businesses today need to build-measure-learn-pivot quickly in order to be successful in highly competitive market place which is why every organization should focus on building strategy and capabilities to truly democratize its enterprise data. In this presentation Indrasis will walk through how to develop an effective data democratization strategy and capabilities at enterprise level.

Bothell, Washington, Us

Fast-paced start-up company backed by Craig McCaw. Managed multiple responsibilities and contributed to the company’s needs in multiple areas. Started as lead algorithm engineer to architect and develop cloud-based distributed location, analytics, machine learning, and predictive modeling platforms and services. Transitioned to leading R&D (Data Science, ML & AI) and eventually the head of product and strategy. Co-invented and led the development of multiple industrial IoT, AI, and wireless sensor-based products for geolocation, asset management, and safety applications and helped Recon expand into new markets and industries. • Lead product management, product development, product strategy, product pricing and product marketing functions and initiatives.• Lead the strategy formation, implementation and alignment at all levels including business, marketing, technology, operational, go-to-market, commercialization and manufacturing strategies.• Business development of smart wireless and location sensors based IOT products and solutions

Bothell, Washington, Us

Fast-paced start-up company. Managed multiple responsibilities and contributed to company’s need in multiple areas.DATA SCIENCE & ADVANCED TECHNOLOGY:• Lead and manage data science, research, new technology and system level engineering functions.• Spearhead the development of RECON's AWS based analytics & machine learning program, platform and applications.• Manage development of internet of things, M2M, smart sensors (ZigBee, Bluetooth, WiFi, RFID) and location technology solution.• Lead development and implementation of long-term technology roadmap and strategy. • Lead the R&D effort for innovation and new technology development.• Supervise, manage, train and mentor members of the group.• Mange RTLS & LBS (indoor, outdoor, vertical and hybrid location) program.• Manage and expand RECON's IP portfolio.• Represent RECON and present technical work at conferences.• Investigate potential research, collaboration and funding opportunities.PRODUCT MANAGEMENT:• Lead product management and product development functions for RECON's AWS based IoT, M2M, data, smart sensors, telematics and wireless location based products.• Product lead for RECON AWS based Asset Management Solution, Worker Safety Solution and RECON Insights. • Create product roadmaps, product strategy, cost and risk optimization strategy, business and functional requirements, and technical specifications.• Perform strategic analysis of internal and external environments and SWOT analysis.• Lead commercialization, product launch, production ramp up and manufacturing strategy.• Gather customer input and perform competitive intelligence analysis to develop product requirements and product features.• Take ownership in driving product and new feature development through every stage of the product development lifecycle.• Evangelize product initiatives and enhancements to internal stakeholders and customers.• Assist the CEO with the business & growth strategy, business development & marketing.

Bothell, Washington, Us

Title:Low-cost, High-precision Approach to Indoor/Outdoor Location and Telemetry

Bothell, Washington, Us

Fast-paced start-up company. Managed multiple responsibilities and contributed to company’s need in multiple areas – lead research and development, algorithm engineer, product manager, program manager, technical architect and C++/Java software engineer.• Architect & lead the development of the cloud based location, analytics, machine learning and predictive modeling platform.• Play lead role in research, development, architect and implementation of location estimation algorithm and location performance improvement filters. Technologies include Statistical signal processing, Estimation theory, Kalman filtering, TDOA, Multi-latertaion, tracking & navigation systems and wireless communications systems.• Mange RLTS & LBS (Indoor, Outdoor, Vertical and Hybrid location) products and programs• Drive R&D effort for innovation and new technology development.• Architect and develop could based software and APIs to support location based services platform.• Test, characterize and enhance system performance by feature extraction, modeling and statistical analysis of field data.• Participate in the implementation and testing of the receiver algorithm enhancement.• Play a key role in implementing the long term technology road map.• Develop and design service oriented architectures and multi-threaded system level application using C/C++/Java/Python in Windows and Linux environments.

Waltham, Ma, Us

• Research and Algorithm Development in the area of statistical signal processing and estimation theory with application to Air Traffic Control (ATC) and Navigation to provide technical support to Federal Aviation Administration (FAA). Technologies include ADS-B, GPS/INS, RADAR data processing, RIPS (Runway Incursion Prevention Systems), MULTILATERATION, Tracking, Kalman Filter (KF), Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), Alpha-Beta Filter and Interacting Multiple Model Tracking (IMM).• Enhance the performance of existing algorithms and system by conducting modeling, simulation, statistical analysis, software implementation, testing and validation.

Paris, Fr

• Project Manager: Coordinate & manage R&D projects (feasibility, development & deployment) with members from R&D and operations from Europe and North America• Responsible for innovative Machine Vision , Machine Learning, Control System and Automation solutions (feasibility study & proof of concept, preparation of specifications, hardware selection, algorithm development and prototype building) to enhance safety, reliability and efficiency of existing Air Liquide processes and operations• Research and development in areas such as Advance Process Control, Automation, Fault Detection, Machine Vision, Pattern Recognition, Artificial Intelligence, Optimization and Industrial IT & Communication.• Collaborate with customers, system developers, sub-contractors, business development group and other entities of Air Liquide to ensure an efficient transition of novel ideas from ground research phase to final product development.• Writing research proposal, project proposal, invention disclosure and patent application.

Paris, Fr

Title:Energy Efficiency Evaluation Tool for Air Separation Unit

Provo, Ut, Us

• Conduct research in the field of Radio Astronomical Image Reconstruction.• Conduct study on Interference Mitigation using Multiple Feed Array.

Paris, Fr

• Research and development in areas such as Advance Process Control, Automation, Machine Vision and Industrial IT & Communication.

Chicago, Illinois, Us

• System administrator for Windows 2000 servers.• Development and maintenance of international center website.

Columbus, Ohio, Us

• Design, develop and test of microprocessor based industrial power electronics products.• Train dealers and customers.

Master Of Business Administration (Mba), Executive Mba, Business Executive Leadership & General Management

Ms, Electrical Engineering

Btech, Electrical & Electronics Engineering

Non Degree, Electrical Enginerring