🔹 Overall Responsibilities• Managing various projects and teams in data science, technical project management, and generative AI.• Constantly evolving best practices and operational standards for optimal client satisfaction across multiple industries.Roles and Projects🔸 Generative AI SME for Major Pharma Client• Pioneered a Generative AI-driven document generator to optimize medical content distribution.• Mentored teams in production-grade Generative AI applications and provided architectural solutions.• Managed the technical roll-out of three key production tools for promotional materials and HCP engagement, overseeing a diverse team of 35 globally.• Established operational standards for private LLM instances, achieving a 100 NPS.🔸 Generative AI SME on Generative AI Taskforce• Formulated best practices for using generative AI to boost productivity, reaching hundreds of global team members with a 70+ NPS score.• Created guidelines for safe LLM usage to ensure client data integrity.• Developed Coursera Course on Modern Data Strategy for Gen AI 🔸 Engagement Manager for Major Financial Service Client• Utilized causal ML to identify and protect $2B in at-risk assets, recommending effective retention strategies.(Internal title- Lead Data Scientist)

Startup Lead Data Scientist role. • Designed and developed the ML based labor supply and demand forecasting model driving a staffing plan that sheds $2m in under-utilized labor hours.• Championed development of a data science knowledge hub for cross team collaboration. • Drove weekly syncs with client (Apple) on capacity and labor forecasting.• Mentored, lead, and trained incoming data scientist and analysts, including recent graduates and distributed team members.• Utilized Oracle DB, Postgres DB, Python, Docker, SciPy, Plotly Dash, and Apache Airflow.

Official Title: Software Developer• Designed integration of machine learning platform for experimental, computer vision related, DOD contract. • Utilized programing languages such as Java, C, Rust, and Python to develop on Deepstream and GStreamer tools.

• Top 1% of Data Science Consultants on the platform• 100% positive reviews• Provided statistical, economics, and data science consultation to clients including academic researchers and a big three accounting firm. • Used statistical analysis on survey data, A/B tests, and experiments to provide key insights according to user needs. • Analyzed market impact of policy using advanced econometrics.• Utilized Python, Scikit Learn, Google Cloud Platform, natural language processing, Jupyter Notebooks, Excel, Dash, Plotly, Matplotlib, R, Bayesian Inference, and Tableau.

Used virtual platforms to collaboratively build machine learning models used in an internal application. Demonstrated expertise in advanced analytics tools and data visualization. Additionally, responsible for rigorous data management. Recognized by supervisor and C-suite executives for our outstanding product.• Worked with technologies such as DynamoDB, AWS Relational Databases, AWS Sagemaker, Elastic Search, JIRA, GitHub, and SourceTree• Gained experience in an Agile, CI-CD, DevOps environment• Implemented machine learning frameworks such as boosted trees, bag of words, TFIDF, Naïve Bayes Classification, and ensemble learning• Utilized Anaconda, Python, Jupiter Notebook, SQL, Numpy, Pandas, XGBoost, and Beautiful Soup.

• Compiled data on economic metrics • Wrote ad-hoc, data driven reports • Recommended and completed reporting projects that were approved by the company

• Analyzed 2500 data points to assess attitudes and behaviors collected by survey.• Utilized data software such as SPSS, Excel and STATA to create linear regression of data.• Consulted client on the proper use of the statistics and its function for his Doctoral Dissertation.