●Established the data-driven capabilities of a client organization through the definition, design, implementation, and testing of metrics and visual reporting build for multiple insightful Operation and Management PowerBI dashboards under stringent time constraints; which included the inaugural integration of diverse data sources on Snowflake●Reduced rework in the dashboard development process by 75% through creating mimetic dummy data and rapidly wireframing the specified requirements; fostering efficient collaboration with product owners.●Minimized ambiguity by 100% during product handover through the development of detailed design documents to effectively communicate with and guide the client/stakeholder through each stage.●Increased output by 25% through the establishment of standardized templates for every deliverable, ensuring consistency which guaranteed superior output quality throughout the team.●Furthered solution design within the firm through the design of Generative AI – based proof of concept for improving internal EY processes and for bidding client work. This included prompt engineering and building AI apps with Python.

●Reduced backlog by 85% in 3 months through providing timely BAU (Business as Usual) support for a managed service and implementing a batching process for addressing issue tickets, incidents, and tasks.●Reduced onboarding effort of new team members by 60% though maintaining knowledge bases of known issues and fixes and created documentation and manuals to ensure information is recorded, updated, and shared.●Cultivated robust relationships with key stakeholders by approaching discussions with an open mind, adeptly gathered requirements through insightful conversations and questions. Produced and presented monthly reports to summarize the operational activities for the key technical stakeholders/owners. ●Developed and executed SQL scripts to extract and analyze data from large databases for the creation of insightful reports that informed stakeholder decision-making process.●Delivered coaching and mentorship, which contributed to the professional development and growth of consultants and interns and promoted morale in a constantly changing environment.

●Conducted an in-depth NLP literature review to identify gaps in textual hate speech detection research area and proposed methods to ethically address identified gaps and enhance the existing research landscape. ●Analyzed research data and identified issues plaguing the data using Scikit-learn and Pandas libraries, proposed data refinement methods and designed experiments and statistical analysis to test these methods.●Designed experiments to extract and construct informative features for a supervised text classification task (predictive modelling) to detect hate speech on social media platforms using algorithms such as LSTM, RNN, CNN with tools like NumPy, TensorFlow, Keras, Pytorch and Python.●Designed unsupervised machine learning experiments based on K-means clustering to identify the target of hate speech text, which reduced dependence on scarce and biased labelled data and introduced model explainability using tools like NumPy, TensorFlow and Keras and Python.●Published the statistically validated research results in multiple peer reviewed conference proceedings and journal articles.●Presented research ideas and findings at 5 international conferences and 2 competitions using matplotlib and seaborn for results visualization.

●Facilitated Agile ceremonies for a team of five people which includes oneproduct owner, three developers and one tester with the goal of delivering value to the customer.●Wrote understandable user stories and collaborated with the product owner to maintain and improve the product backlog using Jira.●Created mock-ups and prototypes to assist the tester to easily identify the changes carried out on the bankers workbench platform.

●Developed comprehensive and engaging lesson plans for 6 undergraduate courses, ensuring alignment with curriculum objectives and consistently received positive student feedback.Instructed 3 undergraduate courses, fostered an interactive learning environment, and improved student participation and academic performance.●Supervised 3 undergraduate students' projects, guiding student on methodology, execution and report writing standards leading to academic conference publications and presentations.●Mentored undergraduate and graduate students, and provided personalized guidance on academic and career paths through the departments' alumni office.●Elevated the institution’s academic standing. by contributing to research and participating in conferences.