Priya Goel

CEO

Gurgaon, Haryana, India12 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in Generative AI and Recommendation Systems.
  • Proven track record in driving client engagement.
  • Strong leadership in building high-performing teams.
Stackforce AI infers this person is a SaaS expert with a focus on AI-driven solutions and client engagement strategies.

Contact

Skills

Core Skills

Generative AiRecommendation SystemPredictive ModelingNatural Language ProcessingDeep LearningStatistical Data AnalysisHtml

Other Skills

People DevelopmentTeam DevelopmentOperational ExcellencePrompt EngineeringPeople LeadershipTeam BuildingPHPJavaScriptMySQLCSQLJavaMicrosoft OfficePowerPointWindows

About

Data science leader with expertise in driving measurable improvements in client engagement and retention through innovative AI solutions. Experienced in designing and developing scalable, high-performance AI solutions that transform service delivery, enable client in advancing on strategic priorities, and elevate service associate productivity Proven track record of leading high-performing, agile teams to deliver accelerated, high-quality outcomes by championing operational excellence and fostering a culture of innovation Passionate about people leadership, drive continuous learning and growth through tailored coaching, targeted training sessions, industry forums, and strategic development opportunities. Expertise in building cross functional partnerships for strategic alignment and business usecase development Expertise spans Generative AI, Recommendation Systems, Natural Language Processing (NLP), Predictive Modeling, Deep Learning, and Data Engineering. Skilled in enabling advanced analytics capabilities, building scalable infrastructure, and supporting business transformation through AI-driven insights.

Experience

12 yrs
Total Experience
2 yrs 4 mos
Average Tenure
8 yrs 2 mos
Current Experience

Gartner

4 roles

Senior Director

Promoted

Apr 2024Present · 2 yrs 1 mo

  • 1. Driving business impact with innovative AI solutions
  • A. Enhanced client experience by strengthening the effectiveness of client communications and enhanced user workflow processes using GenAI
  • 1. Built an AI-powered quality checker to ensure client emails are clear, personalized & engaging, enhancing client experience & engagement
  • 2. Integrated AI tools into email platforms, streamlining workflows and boosting productivity.
  • 3. Built tools to evaluate system stored data quality for reliable insights.
  • B. Increased client engagement through personalized recommendations
  • 1. Launched a recommendation engine to suggest relevant resources tailored to user workflow driving higher engagement
  • 2. People Leadership
  • Provides tailored coaching, ensures continuous learning & development through targeted trainings, conferences & strategic growth opportunities.
  • 3. Team building & Development
  • 1. Leading agile, high-performing team to deliver accelerated, high-quality results.
  • 2. Recruiting top talent, streamlining onboarding & sharing regular feedbacks
  • 3. Hosted the Data Science Hackathon with 36+ external candidates, strengthening the DS talent pipeline
  • 4. Driving Team Effectiveness & Operational Excellence
  • 1. Implemented best practices for quality delivery, including documentation, code reviews, regular planning, priority management, enabling backups
  • 2. Drove team effectiveness initiatives
  • 3. Enabled Right infrastructure for development
  • 5. Driving innovation: Led patent submissions for novel data science solutions and fostered a safe environment for team experimentation & innovation.
  • 6. Leading end to end solution development involving active engagement with business stakeholders on requirements, shaping roadmaps, & launch pilots and partnering with product and data engineering teams to build client-centric tools and robust architectures
  • 7. Establishing Cross functional Partnerships for use case development and strategic alignment ensuring consistent client experiences.
Recommendation SystemDeep LearningPredictive ModelingNatural Language ProcessingGenerative AIPeople Development+4

Director Data Science

Promoted

Apr 2022Jun 2024 · 2 yrs 2 mos

  • 1. Driving business impact with innovative AI solutions
  • 1. Boosted service associate efficiency through GenAI-powered automation and process standardization.
  • Automated the generation of value delivery reports from multiple data sources, saving time and standardizing reporting.
  • Piloted an AI-based evaluation tool for presentation materials, improving assessment quality and consistency
  • 2. Increased client engagement through personalized recommendations
  • Implemented model to recommend client priorities based on digital footprint, enabling more effective meeting preparation.
  • Created content recommendation models to surface relevant materials, advancing client engagement.
  • Developed a peer recommendation algorithm & content recommendation basis peer consumption to enable client look around the corners.
  • 3. Designed Metrics to enable more effective engagement strategies using NLP
  • Designed logic which objectively measure value delivered to clients by aligning client engagements with their priorities using text embeddings enhancing client engagement strategies. Value Delivered is used as a metric to quantify impact of different business initiatives.
  • 4. Enabled next best action recommendations, data driven content planning by deploying predictive analytics and statistical modeling
  • Developed Asset-Level Retention Models driving next best retention driving actions for clients
  • Developed Model to evaluate impact of content on retention to enable data-driven content evaluation and content planning for RnA teams
  • 5. Monitoring adoption and impact of Data products
  • Built dashboards to automate tracking of tool adoption and feature usage and impact on client engagement and retention.
  • 6. Team Development:
  • Led Paper Reading Forum for discussing recent AI/ML research papers to ensure ongoing learning.
  • Developed question banks and case studies for objective evaluation of candidates
Recommendation SystemDeep LearningPredictive ModelingNatural Language ProcessingGenerative AIPeople Leadership+5

Senior Data Scientist

Feb 2019Mar 2022 · 3 yrs 1 mo

  • Driving business impact with innovative AI solutions
  • 1. Enable proactive management, retention forecasting, and risk identification through predictive modelling and statistical analysis.
  • Developed service calls prioritization algorithm incorporating business logic for at-risk clients, improving retention, Transitioned Excel-based reports into a product, improving efficiency for Service associates
  • Created models to assess call quality and identify elements that drive higher retention
  • Built systems to proactively detect disengaged clients, enabling targeted retention efforts
  • Conducted retention analysis to highlight key factors for focused engagement strategies.
  • 2. Generated actionable insights and targeted recommendations from client feedback, improving responsiveness and service quality using Deep learning models
  • Developed a multi-stage client feedback classification model, enabling rapid identification and routing of actionable feedback for business decisions.
  • 3. Developed dashboards for business teams enabling strategic planning and saving operational time : metrics-based dashboard enabled business leaders to track, pace and plan for their top priorities
Recommendation SystemDeep LearningPredictive ModelingNatural Language ProcessingGenerative AIPeople Development+5

Data Scientist

Jan 2018Jan 2019 · 1 yr

  • 1. Increased client engagement through personalized recommendations
  • Created content recommendation models to surface relevant materials, advancing client engagement.
  • 2. Extracted insights & drove automation to enable more effective engagement strategies using NLP
  • Generated Outside- in Analysis for clients from client annual reports & Automated the processing of annual reports through NLP enabling unique insights & significantly reducing manual analysis time
  • Developed an API to map client feedback to business initiatives using NLP
  • Created a classification system to segment client testimonials using Random Forest, enabling targeted business actions.
  • Executed Large-Scale Data Analysis on Gartner’s data lake, enabling robust insights generation using Hadoop and PySpark frameworks.
  • Built CI/CD pipelines for automated daily job execution on refreshed data using Git, a CI/CD orchestration tool Bamboo and build/test tools
  • 3. Team Development:
  • Led python trainings for analytics and operations team to enable report automations and drive effecienty
Recommendation SystemDeep LearningPredictive ModelingNatural Language ProcessingStatistical Data Analysis

Trivago hotel relations gmbh

Data Scientist

Oct 2017Dec 2017 · 2 mos · Düsseldorf Area, Germany

  • Worked in Search innovation team for developing next generation recommendations capturing user intent using AI & ML
Recommendation SystemDeep LearningNatural Language Processing

Intel corporation

Machine Learning Engineer

Sep 2016Sep 2017 · 1 yr · Munich Area, Germany

  • • Development of STT (System trace tool) using c++ and MPT(matlab preprocessing tool) using matlab for debugging of modem traces
Recommendation SystemDeep LearningNatural Language Processing

Bet it best gmbh

Backend Developer

May 2016Aug 2016 · 3 mos · Munich Area, Germany

  • Worked as Database Analyst and backend developer (PHP, Javascript, JQuery, Pagetable)
  • Bug fixing using jira(issue tracking system), scrum methodology, Bitbucket and Enterprise stash repository system, Git version control system

E-profound gmbh

Backend Developer

Oct 2015Feb 2016 · 4 mos · Munich Area, Germany

  • Worked as Database Analyst and backend developer (PHP and JAVASCRIPT).

Samsung electronics

Software Engineer

Jun 2013Sep 2015 · 2 yrs 3 mos · Samsung Research Institute Noida,India

  • Designation: Software Development Engineer.
  • Skills: C++, Operating sytems concepts
  • Projects: Samsung Android Smartphones and Tabs based on Qualcomm and Exynos chipsets on Android
  • versions Jelly Bean, Jelly Bean Plus, Kitkat and Lollipop like ZANIN, NEVIS, CORSICA, VIVALTO, ESPRESSO,
  • KONA, ALTIUS (S4), KNIGHT (S5), Note2, Note3, CHAGALL, MUSCAT, P4NOTE, FRESCO, MIDAS
  • Working on Android, C, Data-Structures, ARM processor platform.
  •  Enhancement and porting of File System (FAT, EXFAT, FUSE, SDCARDFS, EXT4) on Samsung
  • mobile’s proprietary platform.
  •  Development of file system API’s (Read, Write, Mount, Un Mount, Unlink, Copy, Seek etc.) -
  • Basically we are involved in developing and maintaining of code above flash driver.
  •  Maintenance of MMC (internal EMMC and external MMC card) driver code in linux kernel.
  •  Creation and updating of Partition Information table in mobile phones. Modification of memory
  • map according to the memory requirements of the system.
  •  Involved in bug fixing issues related to file system (FAT, EXFAT, FUSE, SDCARDFS, EXT4). Issues
  • related to memory card file system (FAT file system).
  •  Debugging of crash and kernel panic generated during testing of mobile features and analyzing
  • their RAM Dump with the help of RDX tool, Trace 32.
  •  Understanding of domain and various layers of File Systems, Block IO Layer, kernel MMC Driver
  • and VOLD (Volume Daemon).
  •  Handling of application requests to file system for any I/O request.
  •  Code optimization of file system operations for better performance while reading and writing of
  • file.
  •  Worked on increasing the performance of phones having low RAM at Block IO and driver layer.

Council of scientific and industrial research

Intern

Jun 2012Jul 2012 · 1 mo · Council Of Scientific And Industrial Research (C.S.I.R) Pusa Road Delhi India

Ewit infotech

Intern

Jun 2011Jul 2011 · 1 mo

  • (Summer Internship June-July 2011)
  • Subject: Black box testing of ePersona Standalone (Biometric Based Time Office Automation System).
HTMLPHPJavaScriptMySQL

Education

Technical University of Munich

Master's degree — Informatics

Oct 2015Sep 2017

ETH Zürich

Master Thesis — Computer Science

Jan 2017Jan 2017

Indira Gandhi Delhi Technical University for Women

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2009Jan 2013

Kulachi Hansraj Model School

Cbse 12th

Jan 2007Jan 2009

Dav Public School

high school — High School/Secondary Diplomas and Certificates

Jan 1995Jan 2007

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