Oct 2024 – Present · 1 yr 8 mos · Los Angeles, California, United States · On-site

• As a faculty member at USC's School of Data Science & Operations, I teach graduate-level courses in Large Language Models, Natural Language Processing, and Advanced Analytics to students in both the Master of Science in Business Analytics and MBA programs. Additionally, I am involved in student advising and take an active role in fostering our academic community through mentorship initiatives.
• 𝐃𝐒𝐎 𝟓𝟔𝟎: 𝐓𝐞𝐱𝐭 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠,
• 𝐃𝐒𝐎 𝟓𝟏𝟎: 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬
• In these courses, I collaborate with graduate students and policy stakeholders to design and implement AI/ML solutions for real-world challenges — from forecasting and classification to optimization problems.
• 𝐁𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐜𝐥𝐚𝐬𝐬𝐫𝐨𝐨𝐦:
• I’ve redesigned the core curriculum to align with industry demands and student career goals.
• I supervise semester-long projects, guiding students through the entire data science pipeline — from problem definition to solution delivery.
• I actively mentor and advise students, helping them connect academia with real-world impact.
• 𝐓𝐞𝐚𝐜𝐡𝐢𝐧𝐠 𝐢𝐬 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐚𝐛𝐨𝐮𝐭 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬, 𝐢𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐞𝐦𝐩𝐨𝐰𝐞𝐫𝐢𝐧𝐠 𝐛𝐫𝐢𝐠𝐡𝐭 𝐦𝐢𝐧𝐝𝐬 𝐭𝐨 𝐚𝐩𝐩𝐥𝐲 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐞 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐲, 𝐚𝐧𝐝 𝐜𝐫𝐞𝐚𝐭𝐞 𝐥𝐚𝐬𝐭𝐢𝐧𝐠 𝐜𝐡𝐚𝐧𝐠𝐞.

Nov 2023 – Present · 2 yrs 7 mos · Remote

• Led the AI/DS team at ArrowsUP LLP, focusing on leveraging LLMs for OCR, topic modeling, and sentiment analysis.
• Spearheaded data science projects in medical science, driving go-to-market strategies and product development.
• Achieved measurable impacts through enhancing product features and optimizing measurement metrics.

Aug 2023 – May 2024 · 9 mos · Phoenix, Arizona, United States

• As the Senior Advisor to the Director General and Dean of the 100 Million Learners Global Initiative at Thunderbird School of Global Management, I am honored to be at the helm of a transformative global education endeavor. This initiative is a beacon of innovation and accessibility, aiming to empower 100 million learners worldwide with cutting-edge business knowledge and leadership skills. My role allows me to influence the strategic direction and implementation of programs that not only break down educational barriers but also inspire a new generation of global leaders. At Thunderbird, we are redefining the future of education, fostering a vibrant, interconnected community that transcends borders and uplifts diverse voices across the globe.
• For more info: https://thunderbird.asu.edu/lifelong-learning/100-million-learners

Apr 2023 – Jun 2024 · 1 yr 2 mos · Phoenix, Arizona, United States

• At Thunderbird Executive Education we educate global leaders and managers who will maximize the benefits of the 4th Industrial Revolution(4IR). I am leading the Global Business Analytics in the 4IR Program to help global leaders make smarter, data-driven decisions.
• Thunderbird School of Global Management at Arizona State University has been ranked No. 17 globally and No. 2 in the U.S. for custom Executive Education programs by the Financial Times for 2024. This marks an improvement from No. 20 globally and No. 4 domestically in 2023. Thunderbird outperformed schools like Trinity College Dublin, Warwick, and Mannheim, as well as U.S. institutions Miami, Rutgers, and Emory.
• I conceptualized, led, and designed one of the world-class executive programs in the world right from scratch in Global Business Analytics(GBA).

Mar 2022 – Jul 2024 · 2 yrs 4 mos · Phoenix, Arizona, United States · Hybrid

• As a faculty member in data science, I have inspired the next generation of data professionals by bridging their skill gaps across various aspects of the field. Through a combination of hands-on training and real-world applications, I have equipped students with the necessary tools and knowledge to excel in data science. My efforts have helped numerous students secure internships with leading tech firms, setting them on a path to successful and impactful careers in the industry.
• I currently teach TGM 312: Big Data in Global Economics and a graduate-level special topic course, TGM 598: Product Analytics & Experimentation on a part-time basis.

May 2021 – Jun 2023 · 2 yrs 1 mo · San Francisco Bay Area · Remote

• I provide leadership, vision, strategy & governance to all aspects of Medallia’s data operation. I manage a team of super talented data scientists, data analysts, data product managers & engineers. Together we tackle some of the most sensitive and open-ended challenges facing market research space at Sense360, Medallia.

May 2020 – May 2021 · 1 yr · Greater Los Angeles Area

• At Covisus we pride ourselves in keeping our nation safe by securing supply chains, protecting global compliance for pharmaceutical and medical industries and aiding brands in the prevention of product tampering.
• Implemented N-shot Learning with Siamese network for anomaly detection in micro-circuits
• Used OpenCV for image processing and to create/add custom class into yolo3 library
• Developed an end to end featured based tomography aided AI model for Image registration
• Applied custom OCR model (with PyTesseract) for auto text detection on micro-circuit for text-analysis
• Successfully awarded over $ 1.4M grant from DoD and US Navy for building custom AI product
• Built the entire Computer Vision team with active involvement in hiring new scientists
• Created a proposal and pilot with Scientists from GE to identify counterfeits in large supply chain ecosystems with data, ML and Blockchain technologies
• Covisus is the industry solution & spin-off company of its parent organization ChromoLogic LLC which has a strong research arm.

Apr 2019 – May 2020 · 1 yr 1 mo · Greater Los Angeles Area

• At SnackNation Data Science & Advanced Analytics, we are turning data into information, information into insights, and insights into Revenue.
• Led and mentored the entire data science team in algorithm development
• Architected and built a product recommendation engine at SnackNation's member portal to reduce manual curation time of subscription boxes for the operation team and to increase our member's satisfaction and engagement
• A/B/C testing framework along with tools for planning, monitoring, and analyzing experiments
• Built a data model for SnackNation's lead funnel and sales distribution engine. Ideated and led this initiative in collaboration with the digital marketing team. The new data model has greatly improved SnackNation's lead distribution to different level salespeople and has significantly reduced spending by improving lead automation and conversion rate by 12%. Moreover, the model has reduced operational hours previously spent on the manual lead assignment
• Created a predictive model to identify customers who are at high risk of churn and associated probable reasons for churn by applying an ensemble approach. This model allowed the customer support team to take measures with more data-driven decisions to keep our members happy and reduce the churn rate
• Tested a variety of machine learning methods and algorithms for use in customer retention, behavior, and engagement
• Directed narrative, advocacy, and adoption of data science to the executive team and clients.

Jan 2016 – Jan 2019 · 3 yrs · Irvine, California

• The solo & full stack Data Scientist in the organization directly reporting to CTO.
• Work closely with the Analytics Manager to define business process and optimize priorities.
• Responsible for delivery of metrics, insights, predictive models, analytic tools and experimentation in Infrastructure Analytics, Data Base Analytics & Consumer Behavior etc.
• Built feasibility calculator using supervised model to normalize project and feasibility process for the sales team.
• Developed an unsupervised model to group commercial vs non commercial visits of our all mobile panelists and further provided insight on the subgroups.
• Ran A/B testing for product team, evaluate results, and guide product decisions.
• Involved in interviewing, hiring and training of one big data engineer on the MFour data team.
• Used Python, R, Pandas, NumPy, SciPy, Matplotlib, Seaborn, Jupyter notebook, Docker container, Excel, SQL and MFour’s very own PQL(Path Query Language) as my everyday tool.

Jan 2016 – Jan 2018 · 2 yrs · Los Angeles, California

• Special hire to teach graduate classes in the field of Computational Mathematics
• Courses Taught: Numerical Analysis I & II (cross-listed undergraduate/graduate level), and Vector Analysis
• Utilize an online teaching resource: Moodle & Matlab

Aug 2015 – Jul 2018 · 2 yrs 11 mos · Los Angeles Area

• Conducted and published research in Machine Learning and Data Analytics independently, collaboratively and with senior students.
• Provide state-of-the-art instruction to undergraduates in mathematics.
• Courses Taught: Statistics, Linear Algebra, Partial Differential Equations
• Incorporate the use of technology in the classroom using MATLAB & Minitab and utilize online teaching resource like Moodle
• Implement strategies that allow students to achieve academic success, and overcome areas of struggle
• Gained experience managing groups of people, explaining complex ideas to struggling students, collaborating with a team, and researching diverse fields

Jan 2013 – Jan 2015 · 2 yrs · El Paso, Texas Area

• Researcher in statistical methods in complex stochastic phenomena.
• Responsible to conduct research and publish article in peer reviewed journals in GeoPhysical and Financial data using different stochastic models and Numerical techniques.
• Published several research articles and grant, wrote book chapter and successfully acquired four patent out of the research.
• Taught undergrad and graduate mathematics courses in Calculus I, Calculus II, Math for Social Sciences I, Math for Social Sciences II, Discrete Mathematics, Matrix Algebra, Differential Equations
• Utilized and implemented online resources such as Blackboard, MyStatLab, Wiley-Plus, and WebAssign

Jan 2012 – Jan 2013 · 1 yr · Denton, Texas

• Conducted research in stochastic process using Genome-data with Dr Rajeev K. Azad.
• Supervised several graduate and undergraduate student research in scientific computing and statistical modeling.
• Provided instruction in the areas of Probability, Elementary Statistics, Elementary Statistics with Algebra Review, Calculus II, Linear Algebra & Vector Geometry, and Multivariate Calculus
• Designed syllabus and delivered lectures to classes of a minimum of 64, and a maximum of 317 students
• Led and co-ordinated a team of 10-12 teaching assistants & supplemental instructors for review and recitation

Jul 2011 – Aug 2011 · 1 mo · Columbus, Ohio Area

• Participant in NIMBioS-sponsored by the National Science Foundation through NSF
• Research program in mathematical modeling of biological systems using real data

Jun 2011 – Jul 2011 · 1 mo · Raleigh-Durham, North Carolina Area

• I was selected attend the 2011 Industrial Mathematical and Statistical Modeling Workshop at N.C. State. Under the direction of H.T. Banks and Dr.Laura Potter of Syngenta Research. Our group studied inverse and statistical problems applied to plant photosynthesis.
• We were successful in getting an applicable solution to the problem and had a publication on Journal of Inverse and Ill-Posed Problems.

Aug 2010 – Jul 2012 · 1 yr 11 mos

• Computational studies for spatial-temporal dynamics of cell signaling, NSF-DMS1019544, 2010-2013
• South Carolina EPSCoR/IDeA Gear Program, 2011-2013
• Assisted research in Nonlinear Methods for Supervise Learning: Defense Application, 2008

Aug 2006 – Jul 2012 · 5 yrs 11 mos

• Organized and delivered lectures to a class of 40 students in the subject areas of College Algebra, Pre-Calculus, Business Calculus, Calculus-I, Finite Mathematics, and Differential Equations
• Member instructor of the Mathematical Association of America's CRAFTY (Curriculum Renewal Across the First Two Year) - College Algebra Renewal Project in 2006
• Directed computer lab with Maple and Matlab and conducted recitation

Jun 2005 – Aug 2005 · 2 mos · Edinburg, Texas

• • Hired as a Part time Lecturer to teach wide range of mathematical courses during summer of 2005.

Aug 2004 – Jul 2006 · 1 yr 11 mos · Edinburg, Texas

• Conducted research with Prof. M.C. Villalobos and published an article in linear and non-linear optimization
• Strategically designed and implemented course syllabus according to course requirements
• Organized and delivered lectures to classes consisting of 40 students
• Provided instruction in the areas of Elementary Algebra, Intermediate Algebra, College Algebra while ensuring each student opportunities for academic growth and personal accomplishment.