Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics Email and Phone Number
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Over 90% success rate in Gen AI/ AI/ ML Ops projects from idea to deployment and adoption. I was nicknamed “Zen” in college and I bring the same calm and self-assurance to my work with an authentic and empathetic leadership style that encourages direct and transparent communication and empowers team members to work at their highest level and deliver results consistently. I encourage my team to fail fast and learn, think scale and repeatable design. I believe in creating a welcoming environment where everyone feels valued (91% people leader effectiveness index score on HPE VOW).Business value and outcome is the North-Star I use to drive projects ensuring successful technological transformation, change management and leveling of organizational silos. My personal experience, technical expertise, strategic thinking and foresight on all things data and analytics has helped me to unlock business value from ANY new technology. I have led the development of reporting applications such as an omni-channel performance reporting connecting marketing data to sales in real time. We also built a Gen AI based Q&A solution. Now business users can track how marketing is touching customers and creating demand. The combination of innovative applications and leadership style has accelerated a data-driven culture.The data, process, infrastructure, and technology eco-systems were built in record time and have reduced time-to-insights from multiple weeks and days to a few hours with the work selected for presentation at top tier conferences and HPE’s TechCon 2024 (less than 3% selected) We also built a Gen AI application that enables sales reps to have successful customer interactions by bringing data into a single screen, reducing research time 2-3X. We also built a multi-touch attribution and customer journey knowledge graphs to measure the total contribution of a channel towards brand awareness and sales.Professional Skills: People & Project Management| Data| Operations| Performance Measurement| Analytics| Reporting| Business Strategy| Business Intelligence| Application Development| Big Data| Gen AI LLMs| Transformation| Change Management| Customer Acquisition| Retention| ROI|Domain Knowledge: Marketing| Sales| Customer Segmentation| Targeting| Personalization| Recommendation Engines| Marketing Mix| Media| Churn| CLV| Forecasting| Predictive Models| Graphs| Gen AI LLMs | Artificial Intelligence AI| Machine Learning ML| Time Series| Clustering| ClassificationTechnology Stack Experience: Python| R | Matlab| Spark| PySpark| Power BI| Azure Cloud| ChatGPT| AWS|
Hewlett Packard Enterprise
View- Website:
- voltage.com
- Employees:
- 201
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Director Data SciencesHewlett Packard Enterprise May 2022 - PresentHouston, Texas, UsManage Data Sciences and Digital Analytics group within the Marketing Analytics organization.Enable transformation to a real-time data and analytics driven go to market business model.
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Data Sciences Technical LeaderHewlett Packard Enterprise Feb 2020 - Apr 2022Houston, Texas, UsAdvanced Analytics Solutions:- Persona based marketing analytics solutions enabled labelling of contacts with personalabels at scale using unstructured data analytics and NLP algorithms. In addition, theinfluence of different personas within a buying center of a customer were analysed andbenchmarked to drive sales and marketing GTM strategy and tactics.- Predicting aaS business KPIs to drive call to action and investments like CLV, customer churn,gross margin and billing revenue using ML based classification and survival models for the GLCustomer Success organization.- Customer recommendation engine (content, product and training recommendation) toenhance customer experience of aaS customers on the My Account portal- Prioritize contacts within a customer account for digital nurture programs based on theirlikelihood to convert to a lead and drive an opportunity using AI/ML based ensemblemodeming approach (AQL Digital Lead Scoring)- Prioritize the target audience for email campaigns ML based approaches to predict theirpropensity to respond to an email campaign for the digital demand team- Digital visitor index to score the digital intent and interest of a visitor to HPE.com on nearly80 different topic areas of relevance over time using unstructured data analytics and NLPbased algorithms (DVI, Topics of Interest TOI, digital engagement models)- Prioritize prospect accounts (new to HPE, new to product category) for GreenLake and otherbusiness and product categories using deep learning models- Prioritize accounts for attaching HPEFS leasing options to an opportunity using ML basedpropensity to lease models for SMB and Enterprise segment of accountsData and process optimization projects:- ABM Target Audience creation process for GTM activation with digital marketing teams(media, web, social, email, chat)- Data Mart for Analytics and Reporting with Rev & Ops team to design and build a data martfor reporting needs
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Lead Machine Learning And Ai (Hp Inc)Hewlett Packard Inc. (Hpi) Oct 2018 - Jan 2020As part of the Analytics team within the Media, Analytics and Insights organization, lead, mentored and managed a team of individual technical contributors to develop advanced statistical and ML models and algorithms in the media and marketing domain.• Led the team to develop ML based clustering models to discover additional customer segments from customer survey response data.• Led the team to develop ML based supervised learning classification models to predict media advertising click through rates from advertising impressions data.• Led the team to develop ML based customer lifetime value (CLV) prediction model using customer transaction data.
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Sr Director AnalyticsGuavus Jun 2017 - Sep 2018San Jose, Ca, UsAs part of the Analytics leadership team, authored the vision and executed successfully the transition roadmap of the analytics team from a focus on data analysis, monitoring and reporting to ML and AI based analytics solutions development.Led, mentored and managed a global team of data scientists and analytics engineers to develop analytics applications and solutions for big data in the area of marketing, customer experience and operational intelligence and analytics (for telecommunication network service providers)As an individual contributor, developed Bayesian network models (probabilistic graph models) for root issue analysis and identification for network alarms. The alarms are caused by issues in the network that could cause critical network outages leading to degradation of customer experience and loss of customers. The model enabled the discovery and quantification of the hidden relationships among the alarms and find the root alarms. • Overall solution helped reduce the number of alarms displayed to the Network Operation Center (NOC) technicians by 90+% enabling them to focus quickly on the most critical ones. The solution performance was validated successfully as part of proof-of-concept with an enterprise customer. • Solution is part of Guavus portfolio of products and solutions focused on the network planning and operations area and a key differentiating feature in the Guavus AlarmIQ product. • Awarded Guavus Team Award of Decisive Risk taker for contribution to product innovation. -
Principal ScientistGuavus May 2016 - Jun 2017San Jose, Ca, UsAs a senior member of the newly formed Analytics team, helped build out a team of advanced technical contributors made up of a mix of data scientists, analytics engineers and managers.• Led the team in developing machine learning based solution for network traffic congestion prediction using time series, Markov regression and Fourier transform models. The models performed at 80%+ precision providing predictions at a granular node level. The predictions are a critical input for the upstream solutions used by telecommunication enterprise customers for network planning and management to ensure positive end-customer experience and reduction in coverage quality issues. The work was part of a proof-of-concept with an external enterprise customer and was developed into a product demo - a key tool used by the sales team.• Led the team in developing machine learning based clustering models to identify key subscriber interests and segments from network and customer data. It contributed to the development of analytics solutions and additional features in the Guavus Marketing IQ solution for enterprise customers. • Led the team in developing ML and AI based content categorization models to classify web and other browsing related documents. The solution used NLP based text-mining techniques along with supervised ML models for multi-class classification (Naïve Bayes and Random Forest) to classify end-customer web browsing documents into interest classes like sports, music, news etc. The work was part of a proof-of-concept with an enterprise customer. It brought critical enhancements to an existing product meeting critical requirement for mis-classification errors. It is now part of the Guavus Marketing IQ product solutions.
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Research Manager Data Sciences And Data ScientistHp Jun 2015 - May 2016Palo Alto, Ca, UsKey author of analytics modeling and capabilities roadmap to enable the team to leverage existing models, plan out model updates and build out new models to fill existing gaps and cater to future business opportunities Analytics and project management lead on key initiatives providing data and analytics based solutions to business partners (including ecommerce,CRM and Marketing teams) - Led successful pilots testing on-site personalization for store landing page based on 1st party, 2nd party and 3rd party data on customers and visitors - Led the transformation from pilot to live for on-site personalization including setting up the process and team to deliver updated recommendations and evaluate performance - Expanded the personalization initiatives to other customer touch points including customer support, email and digital banners at 3rd party sites -
Research Scientist (Hpsw)Hp Nov 2013 - May 2015Palo Alto, Ca, UsProvided strategic inputs to the Autonomy Marketing Optimization team to strengthen their product roadmap in line with marketing science research and competitive landscape.Key technical contributor developing advanced statistical models and algorithms for future software applications in customer targeting and personalization area
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Research Scientist (Hp Labs)Hp Apr 2007 - Nov 2013Palo Alto, Ca, UsKey technical contributor for Marketing Analytics research projects at HP labs focused on predictive and advanced analytical models on customer response behavior, marketing performance and impact of social network on purchase behavior. The insights from the models enabled the business teams to develop their strategy and opened promising new directions for further research.Defined the concepts for novel java based applications and led the team in developing the prototypes that allowed research team to showcase the value of advanced analytics to business stakeholders. Provided thought leadership to HP Labs’ Marketing Analytics project team and represented the project at various venues including HPL Advisory Board.Initiated collaborations with top universities and academics
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Marketing ConsultantGive Foundation Inc. Oct 2006 - Oct 2008InAdvising projects on marketing strategy and donor retention -
Marketing ManagerTalisma Corporation Jan 2001 - Jul 2001Bengaluru, Karnataka, InResponsible for planning and executing various marketing related activities for Talisma in its Asia Pacific markets including India and Singapore.Helped streamline the planning and implementation of marketing activities within the organization by setting up processes to reduce duplication of work among the various teams. -
Product ManagerGo4I.Com (Hindustan Times Group) Apr 2000 - Dec 2000Responsible for developing and launching a web site for teenagers within the go4i.com web portal.
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Senior Executive - Resource GenerationCry - Child Relief And You Jul 1999 - Apr 2000Mumbai, Maharashtra, InResponsible for coordinating, at an All India level, CRY’s fund raising campaigns and activities.Instrumental in setting up systems in place for streamlining the funds collection activities of CRY. -
Assistant Brand ManagerGlaxosmithklinebeecham Jun 1997 - Jun 1999Brentford, Middlesex, Gb- Responsible for new product developments and brand extensions - Coordinated with the extended brand team (Market Research, Advertising, R& D, Finance, Operations and Sales) for successful product development and launch.- Role involved brand planning, managing marketing research, promotions, advertising campaigns and new product development.
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics Skills
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics Education Details
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Ucla Anderson School Of ManagementManagement (Marketing) -
Indian Institute Of Management AhmedabadGeneral Management (Marketing)
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Delhi School Of Economics - Delhi UniversityEconomics
Frequently Asked Questions about Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics
What company does Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics work for?
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics works for Hewlett Packard Enterprise
What is Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's role at the current company?
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's current role is Director - Data Sciences and Digital Analytics, Lead - AI Governance and Technology, Global Marketing at Hewlett Packard Enterprise.
What is Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's email address?
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's email address is zainab.jamal@hp.com
What is Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's direct phone number?
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's direct phone number is +165085*****
What schools did Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics attend?
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics attended Ucla Anderson School Of Management, Indian Institute Of Management Ahmedabad, Delhi School Of Economics - Delhi University.
What are some of Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's interests?
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics has interest in Poverty Alleviation, Environment, Children, Education.
What skills is Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics known for?
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics has skills like Market Research, Crm, Analytics, Marketing Strategy, Strategy, Marketing Research, Management, Data Analysis, Product Management, Marketing, Product Development, Predictive Analytics.
Who are Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's colleagues?
Zainab Jamal - Phd Mba Ma - Marketing, Data Sc, Economics's colleagues are Nathan Liu, Gwen Pickelsimer, Rodney Black, Andrew M. A., Dorota Strzelecka, Roberto Rivera, Kevin Pham.
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