Preet Jain Email & Phone Number
@appian.com
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Who is Preet Jain? Overview
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Preet Jain is listed as Senior Product Manager at Appian, based in Washington, District of Columbia, United States. AeroLeads shows a work email signal at appian.com and a matched LinkedIn profile for Preet Jain.
Preet Jain previously worked as Product Manager II, GenAI at Appian and Senior Data Scientist, Enterprise GenAI at Appian Corporation. Preet Jain holds Master Of Science - Ms, Information Systems Management - Business Intelligence And Data Analytics (Data Science), 3.98/4.00 from Carnegie Mellon University.
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About Preet Jain
I am passionate about exploring the power of data science. Learning how to use different data tools to extract real-world insights from raw data really excites me. For my bachelors, I studied Chemical Engineering and worked as a Process Engineer which instilled in me transferrable skills like problem-solving, project management, leadership, and analytical thinking amongst others. Then I pursued my master's in Data Science at Carnegie Mellon where I got the right technical and soft skills to drive data-driven decisions moving me a step closer to my passion.Currently, I am working at Appian where I am building LLM workflows for customers from different industries and helping them achieve process efficiency and reduce operational costs.
Listed skills include Leadership, Research And Development, Amazon Web Services, Data Science, and 42 others.
Preet Jain's current company
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Preet Jain work experience
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Product Manager Ii, Genai
Senior Data Scientist, Enterprise Genai
Current- Production-grade LLM Workflows: Successfully moved LLM workflows into production for various customers. Expected key metrics include reducing a mortgage company's case backlog from 45 days to 1 day and decreasing patient intake waitlist times by over 80% to less than 30 days, highlighting strong operational improvements.- AI Adoption: Lead customer adoption of Appian GenAI, working closely with clients across industries—financial services, healthcare, education, and logistics—to align solutions with their unique AI strategies. This includes understanding customer requirements and showcasing the time to value, high accuracy metrics, & end user business value.- Product Feedback: Provide direct, data-driven feedback to product and engineering teams, influencing critical feature development. For example, adding OCR technologies in the feature for unstructured scanned document processing and helping with the transition of a plugin into a core product feature, both driven by customer needs and insights from field experience.- Proof of Concepts: Develop comprehensive demos showcasing LLM capabilities and business value, including presenting to prospective clients. For instance, converted a "no-go" 16-week engagement into a streamlined 10-week project using Appian GenAI by showcasing rapid time to value, an extraction accuracy of ~98%, and a 5x reduction in manual extraction time.
Senior Data Scientist, Process Mining
- Process Mining: Identified time inefficiencies and work errors in the institutional client onboarding process at a major financial bank; Recommended four major actions that would potentially save ~25,000 days/year of cycle time and 150 days/year of handling time.- SQL based data transformation: Developed a SQL procedure-based data transformation pipeline as an alternative to Python data transformations for process mining in an effort to provide Appian native solutions for customers.
Analytics Assistant - Heinz College Career Services
- Developed a python program using Beautiful Soup to retrieve information about where Heinz alumni are working currently and to analyze promotion rates, employee turnover, industry and region preferences, etc.
Data Analytics Intern
- Data Engineering and Web Mining: Developed a multi-threaded asynchronous script using Python which fetched information using API requests from KCF’s SmartDiagnostics website reducing download time by 30x - Feature Engineering and Outlier Detection: Created an algorithm for ~400,000 data points to prevent misclassification of non-faulty assets by eliminating vibration noise from such assets before ingestion into the ML model
Process Engineer
- Market Analysis and Strategy Research: Conducted market research and analysis for a novel carbon product that would increase the end-product strength by 70% and cut user costs by 50%; Secured funding of ~$207,000 from U.S. Dept. of Energy- Data Visualization, and Commercial Focus: Developed data visualizations using Tableau to determine how close the carbon black industry is to the US shale oil basins; This data was considered crucial for the commercialization plan- Innovation and Problem Solving: Led lab-scale experiments that resolved the issue of dispersing carbon in water used for concrete; The solution enhanced the properties of concrete used in pavements, bridges, and stadiums by 20%
Junior Process Engineer
- Project Management, Decision-making, and Execution: Conceptualized, designed, built, and evaluated a fluidized bed reactor which was implemented to work with the pilot system; Utilized Python’s matplotlib and Pandas libraries to generate meaningful plots which supported in securing an additional funding of ~ $382,000- Analytics, Statistics, and Client Interaction: Created an automated image analysis method to determine the carbon particle size using edge detection and statistical methods; Presented to management as a key performance indicator for business growth - Leadership and Presentation: Managed the operation of the pilot system and delivered test reports to management providing insights for efficient planning of experimental campaigns- Technical Writing and Communication: Compiled technical reports highlighting the premise, results, and analyses to unify project information, explain observations and results, and answer important questions when referred to in the future
Process Engineering Co-Op
- Assembled and supported operation of a 6-kW microwave plasma reactor for graphene generation from natural gas.- Utilized analytical equipment (gas chromatography, GC-MS) along with extraction equipment (Soxhlet extractor, Rotovapor) to separate by-products and evaluate product chemical composition.- Developed SOPs for the microwave plasma reactor, the analytical equipment and the extraction equipment.- Engineered an in-house calcination process that successfully improved product conductivity by 4 times.- Trained an intern about the niche techniques needed to assemble the reactor.
Lead Undergraduate Research Assistant
- Conducted experiments to evaluate solvent quality, chain dynamics and glass transition temperatures of neutral polymer (cellulose) in green solvents using rheology equipment (Ares-G2, Capillary viscometer & DHR-3).- Interpreted and analyze quantitative and qualitative results to devise future experiment parameters.- Publications: Rheology of dry native cellulose in solution with ionic liquids (presentation) for the Society of Rheology meeting in October 2018.
President
Oversaw all club functions, managed board members and all home events.
Treasurer
Oversaw and monitored all financial activities of the club.
Research And Development Intern
- Assisted in the separation & post-processing of active pharmaceutical ingredients and interpreted the data for written reports enhancing research & analytical skills.- Formulated tablets using the double rotary tablet press machine and learned about patents & copyright issues from the intellectual property team.
Preet Jain education
Master Of Science - Ms, Information Systems Management - Business Intelligence And Data Analytics (Data Science), 3.98/4.00
Bachelor Of Science - Bs, Chemical Engineering, 3.64/4.00
Frequently asked questions about Preet Jain
Quick answers generated from the profile data available on this page.
What company does Preet Jain work for?
Preet Jain works for Appian.
What is Preet Jain's role at Appian?
Preet Jain is listed as Senior Product Manager at Appian.
What is Preet Jain's email address?
AeroLeads has found 1 work email signal at @appian.com for Preet Jain at Appian.
Where is Preet Jain based?
Preet Jain is based in Washington, District of Columbia, United States while working with Appian.
What companies has Preet Jain worked for?
Preet Jain has worked for Appian, Appian Corporation, Carnegie Mellon University - Heinz College Of Information Systems And Public Policy, Carnegie Mellon University, and Kcf Technologies, Inc..
How can I contact Preet Jain?
You can use AeroLeads to view verified contact signals for Preet Jain at Appian, including work email, phone, and LinkedIn data when available.
What schools did Preet Jain attend?
Preet Jain holds Master Of Science - Ms, Information Systems Management - Business Intelligence And Data Analytics (Data Science), 3.98/4.00 from Carnegie Mellon University.
What skills is Preet Jain known for?
Preet Jain is listed with skills including Leadership, Research And Development, Amazon Web Services, Data Science, Pilot Plant, Web Scraping, Object Oriented Programming, and Microsoft Powerpoint.
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