Lead project delivery, business development and asset development for Accenture's Gen AI & LLM CoE and Center for Advanced AI, helping client navigate the rapidly changing Gen AI landscape, explore bleeding edge technologies, innovate, upskill employees, etc.

Lead project delivery and asset development for Accenture's Solutions.AI for B2B Growth product, helping client unlock new revenue opportunities and improve sales performance by targeting, converting, and growing the highest-quality leads, with data and AI-powered customer insights.

I am a lead data scientist, AI/ML solution architect at Slalom.My educational background is applied mathematics and statistics. I have about 10 years experience in modeling/advanced analytics/big data, and 7 years working experience in consulting. I served clients from various industries (e.g. Airline, Consumer Products, Financial Services, Healthcare, Telecommunications) and research institute.I focus on data & analytics in real-life application, driving business values and delivering outcome for all my clients. I have direct experience with business development. I lead, deliver and collaborate with cross-functional team on projects covering end-to-end analytics, data engineering, AI/ML models, data visualization, AI-driven products and systems. I have extensive experience with distributed computing & cloud services (AWS, Microsoft Azure, Google Cloud). I am Databricks certified Apache Spark developer, AWS certified solution architect, Google certified professional data engineer, and Tableau certified associate.Project Highlight:* Enterprise Customer Service Virtual Assistant (Azure)* Public Health Survey Data Collection App & Analytics Toolkit (Azure)* Beverage Consumption & Cartridge Utilization Analysis (AWS, Spark)* Preventive Maintenance Models for Heavy Equipments (Google Cloud)I lead Women In Tech @ Slalom Atlanta, offering structured coaching program that is designed by women, exclusive for women, and empowering women by building their leadership capabilities and improving their executive presence in the broader technology industry. In addition, I lead local learning cohorts and mentor aspiring consultants in Tech.My Women in Data Community on LinkedIn: https://www.linkedin.com/groups/12444503/Diversity & Inclusion Contribution:* Slalom Women in Data Community, Global Steering Committee Member* Slalom Women in Tech Global Lead - Atlanta Market* Georgia Tech Women Alumnae Network Board Member* Correlation One DS4A/Women Program Mentor

I lead team, mentor people, and deliver solutions to solve real world problems.
Through all stages of engagement and across different client industries, I have in-depth experience in defining project and translating business problem into analytical questions, crafting actionable analytics work plan, gathering and organizing large and complex data assets, building advanced statistical and machine learning models, crafting visualizations and deck, delivering business solution, presenting observations and business impact to client leaders. I build extensive successful records across the full life cycle of designing, developing and implementing big data & advanced analytics solutions. I am also well-versed in performance dashboards and visualizations in support of showcasing analytical and business insights.I enjoy exploring data, learning new technologies & business ideas, working with people from various background and uncovering insights. I firmly believe the power of data, and would like to be the creative and proactive problem solver to help client identify the weakness, improve the business performance and develop actionable and effective strategies in the rapidly changing market environment.Some of my multi-phased, long-term projects at KPMG include:* Health Risk Assessment Models, Member Identification & Stratification* KPMG Intelligent Forecasting: https://youtu.be/zjPl5EaXKeM, http://read.kpmg.us/intelligent-forecasting

Joined KPMG Data & Analytics team as a result of team integration.(https://home.kpmg.com/us/en/home/insights/2015/04/meet-the-team.html)Focusing on customer analytics and by having deep understanding in the methods of information processing, statistical modeling, machine learning as well as data visualization, I continue to bring skills in complex problem solving and serve clients across different industries (Telecommunications, Financial Services, Healthcare, etc.). As both a data scientist and a data consultant, my goal is to help clients better understand their market strengths and make actionable, data-driven business decisions.

I work in the Data & Analytics group under KPMG's Customer Advisory practice, legacy boutique data analytics start-up Link Analytics (acquired by KPMG in 2013).With a strong quantitative analysis background and extensive big data analytics experience across the full life cycle of building analytical solutions, I specialize in developing advanced statistical and machine learning models and have served clients across multiple industries including Telecommunications and Financial Services. My dedication is to create advanced analytical solutions that answer KPMG clients’ highest-value questions, transforming their complex data into highly-customized, actionable, and repeatable solutions.I expertise in data aggregation and building unified comprehensive data storage and analytics ready environment, create state-of-the-art analytical models and maximize the value of data to help client pinpoint the problem, cut down costs, facilitate business transformation as well as discover long-term strategic insights.

Grading for homework and exams of course:Math 3770 ― Statistics and ApplicationsMath 6221 ― Advanced Classical Probability TheoryMath 3225 ― Probability and Statistics (Honors Section)

Focus on analytics-based customer segmentation and strategy development.

I collected massive data related with company financial conditions. My job was to review the data and summarize data into monthly supervising report. Based on the data summarization and analysis, I also drafted solution reports to provide our management center strategies instructing the future development of over 200 software and outsourcing companies.

I collected data and studied the relationships between company financial conditions and stock performances of the Global Iron Ore Industry.I also explored the factors of company stock prices using principal component and multivariate regression analysis as an independent practicing project.