Piyumini Wijenayake Email & Phone Number
Who is Piyumini Wijenayake? Overview
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Piyumini Wijenayake is listed as Senior Manager Data and Insights at WWF-Australia, a with 184 employees, based in Melbourne, Victoria, Australia. AeroLeads shows a matched LinkedIn profile for Piyumini Wijenayake.
Piyumini Wijenayake previously worked as Senior Manager Data & Insights at Wwf-Australia and Lead Data Scientist at Grok Academy. Piyumini Wijenayake holds Phd In Business Analytics, Advanced Analytics And Cognition from La Trobe University.
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About Piyumini Wijenayake
A results-driven Data Science leader with over 14 years of experience in spearheading advanced analytics portfolios, leading innovative projects, and conducting impactful research. I excel in coaching and mentoring teams, leveraging exceptional communication and leadership skills to inspire and guide others. My expertise includes data modeling, product, customer, and learning analytics, churn analysis, and brand and competitor insights, making me a versatile and strategic asset in the analytics field.I have developed and implemented novel analytics solutions utilizing big data and machine learning, driving significant business impact and delivering actionable insights. Holding a PhD in Business Analytics, I am passionate about advancing both individuals and organizations through data-driven strategies and innovative approaches. My career has been dedicated to this mission, and I am committed to using my expertise to help others achieve their goals and unlock new opportunities.At the forefront of data science innovation, our team at Grok Academy thrives on strategic partnerships and advanced analytics to fuel educational empowerment. With over a year of dedicated leadership, my role encompasses analytics strategy planning and delivering insights that drive our products, sales and marketing, evidencing my commitment to organizational progression.Alongside my industry role, I contribute to the academic landscape as a Lecturer in Data Science at La Trobe University. My dual positions enable me to blend practical expertise with educational initiatives, fostering a rich environment for knowledge exchange and the cultivation of future analytics professionals.
Listed skills include Research, Business Analytics, Data Science, University Teaching, and 20 others.
Piyumini Wijenayake's current company
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Piyumini Wijenayake work experience
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Senior Manager Data & Insights
Lead Data Scientist
Providing leadership and hands-on analytics support for the Analytics portfolio of the GrokLearning global platform.• Responsible for cross portfolio planning and coordination (testimonials available on LinkedIn)• Coaching & mentoring for the analytics team (testimonials available on LinkedIn)• Analytics strategy planning, OKRs, insights for sales & marketing (PowerBI, SQL, PostgreSQL, Python, AWS)• Building & maintaining analytics dashboards and analytics functions (Python, PowerBI, SQL, Excel, ETL)• Planning and executing analytics projects, project ideation• Providing analytics support for product lines (Big data, NLP, ML, Python, Pandas, SQL, PowerBI, text mining, Excel, web scraping, ETL)• Churn analytics, product analytics, customer analytics (Python, PowerBI, PostgreSQL, ETL, Github)
Senior Consultant - Data Analytics
Performed the role of Senior Consultant for data analytics projects of PwC’s large corporate clients (Subject to Legal Professional Privilege). • Held responsibilities in all aspects of the project life cycle (project planning, engaging with multiple stakeholders from multiple organizations, requirements gathering, data analytics, building client dashboards, quality assurance, testing, review and documentation - SQL, PostgreSQL, PowerBI, Python, Pandas, T-SQL, Redshift, Microsoft SQL server, Alteryx, Github).• Worked on multiple projects for multiple large Australian corporations (Python, PowerBI, SQL, Redshift, Microsoft SQL server, Alteryx).
Lecturer In Ai & Data Science
Roles: Subject coordinator, Subject assessor, moderator and LecturerConducted lectures, tutorials, lab classes and collaborative workshops for the following courses and obtained exceptional student feedback ratings.Master of Data Science program:Data Mining (CSE5DMI)Machine Learning (CSE5ML)Master of Business Analytics program:Principles of Business Analytics (BUS5PB)Data Warehouse Concepts & Design (CSE5DWD) Visual Analytics (BUS5VA)Bachelors courses:Computational Intelligence for Data Analytics(CSE3CI) Economics of Innovation (ECO3EIN)Disruption in Business (BUS1DIB)Evaluate & Negotiate (BUS2ENS)Employment Relations (MGT2EMR)Advertising and sales Promotion (MKT3ADV)Big Ideas in Business (BUS1BIB) –Academic and Professional skills developmen
Researcher In Ai & Advanced Analytics
Conducted an AI & advanced analytics research project for the La Trobe Business Intelligence unit resulting in the development of AI & analytics solutions based on machine learning and big data.Project outcomes:• Designed and implemented a novel analytics solution that enables contemporary organizations to monitor their brand image (customer perception) in near real time, benchmark against competitors and provide insights to improve their products, focus areas and business processes using social media data such as Whirlpool forums (big data analytics, data modelling, deep learning, sentiment analysis, Python, R, ML, NLP, Pandas, Matplotlib, text mining, feature engineering, TensorFlow, Keras, SciPy, SciKit-Learn, deep learning, neural networks, customer jopurney modelling, brand personality, digital storytelling, Kibana, Elasticsearch, Tableau, Excel, SAP EW, data lakes, Java, PyTorch, SAP Lumira, Power BI, MySQL, Oracle, marketing analytics, cognitive computing).• Developed a novel technique for an organization to capture and monitor key digital stakeholders in social media using deep learning and unstructured text data sources (big data analytics, social media analytics, Python, word embedding, deep learning, online social roles, machine learning, NLP, Pandas, Matplotlib, text mining, feature engineering, TensorFlow, Keras, SciPy, SciKit-Learn, Kibana, Elasticsearch, Tableau, Excel, SAP EW, data lakes, Java, PyTorch, SAP Lumira, Power BI, MySQL, Oracle).• Designed a holistic model of a digital stakeholder for an organization to understand and serve customers proactively.Awards: Three Minute Thesis(3MT): First Place Award: La Trobe Business School (Two consecutive years : 2018 and 2019)
Transformational Coach
Provided personal coaching for professionals and leaders.Testimonials available on LinkedIn
Lecturer In Computer Science & Software Engineering
Conducted lectures, tutorials and lab sessions for undergraduates in Computer Science and Software Engineering.Contributed in developing course modules, working as module leader, supervising IT projects and final year research projects.
Software Engineer
Banking Assistant
Colleagues at WWF-Australia
Other employees you can reach at wwf.org.au. View company contacts for 184 employees →
Patrick Giumelli
Colleague at Wwf-AustraliaNowra, New South Wales, Australia
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Katie Conomos
Colleague at Wwf-AustraliaMelbourne, Victoria, Australia
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Huy Ho
Colleague at Wwf-AustraliaMelbourne, Victoria, Australia
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Megan Lewit
Colleague at Wwf-AustraliaPerth, Western Australia, Australia
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Kesaia Vasutoga
Colleague at Wwf-AustraliaAustralia
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Zekun (Eilleen) Yang
Colleague at Wwf-AustraliaSydney, New South Wales, Australia
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Tayla Pevy-Siever
Colleague at Wwf-AustraliaGreater Newcastle Area, Australia
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Payal Patel
Colleague at Wwf-AustraliaQuakers Hill, New South Wales, Australia
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Katy Le Gall
Colleague at Wwf-AustraliaMelbourne, Victoria, Australia
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Paul Fahy
Colleague at Wwf-AustraliaGreater Sydney Area, Australia
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Piyumini Wijenayake education
Phd In Business Analytics, Advanced Analytics And Cognition
B.Sc. Special Degree In Computer Science(Honours), Computer Science, Biology, Chemistry
Diploma, Drama & Theatre, Theatre-In-Education
Frequently asked questions about Piyumini Wijenayake
Quick answers generated from the profile data available on this page.
What company does Piyumini Wijenayake work for?
Piyumini Wijenayake works for WWF-Australia.
What is Piyumini Wijenayake's role at WWF-Australia?
Piyumini Wijenayake is listed as Senior Manager Data and Insights at WWF-Australia.
Where is Piyumini Wijenayake based?
Piyumini Wijenayake is based in Melbourne, Victoria, Australia while working with WWF-Australia.
What companies has Piyumini Wijenayake worked for?
Piyumini Wijenayake has worked for Wwf-Australia, Grok Academy, Pwc Australia, La Trobe University, and Freelance.
Who are Piyumini Wijenayake's colleagues at WWF-Australia?
Piyumini Wijenayake's colleagues at WWF-Australia include Patrick Giumelli, Katie Conomos, Huy Ho, Megan Lewit, and Kesaia Vasutoga.
How can I contact Piyumini Wijenayake?
You can use AeroLeads to view verified contact signals for Piyumini Wijenayake at WWF-Australia, including work email, phone, and LinkedIn data when available.
What schools did Piyumini Wijenayake attend?
Piyumini Wijenayake holds Phd In Business Analytics, Advanced Analytics And Cognition from La Trobe University.
What skills is Piyumini Wijenayake known for?
Piyumini Wijenayake is listed with skills including Research, Business Analytics, Data Science, University Teaching, Programming Language Theory, Programming Language Design, Algorithm Design, and Algorithm Analysis.
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