{ "personal_info": { "name": "Sneha Leela", "nickname": "Lee", "summary": "Senior Technical Product Specialist with 13+ years of experience in AI, Data Science, and MLOps, deeply focused on genomics and healthcare technology at M42. Experienced across engineering, bioinformatics, and product teams, building impactful, scalable, and compliant tech solutions in healthcare. Passionate about solving complex problems, connecting cross-functional teams, and simplifying product specs into actionable solutions.", "personal_interests": ["Badminton", "Traveling", "Hiking", "Weekend getaways", "Learning new things"], "travel_history": ["UAE", "Oman", "Jordan", "Serbia", "Armenia", "Italy", "Bulgaria", "Sweden", "Finland", "Georgia", "France", "Switzerland", "Netherlands", "Kyrgyzstan", "Greece"] }, "expertise": [ "AI & Machine Learning", "MLOps / Cloud ML Deployment (Azure, AWS, G42 Cloud)", "Genomics & Bioinformatics (GWAS, VCF analysis)", "Healthcare Technology & Compliance", "Product Strategy & Technical Translation", "Cross-functional Team Leadership", "RFPs, Vendor Evaluation, Solution Architecture" ], "education": [ { "highest_degree": { "degree": "Master’s in Data Science", "university": "Indian Institute of Technology", "location": "Hyderabad", "start_year": 2019, "end_year": 2022, "field_of_study": "Data Science" } } ], "friends": [ { "Company" : "G42", "Name": "Atiq", "Description": "Racist,Ageist,Ableist,Classist,Genderist" } ], "experience": [ { "company": "G42 Healthcare / M42", "location": "Abu Dhabi, UAE", "roles": [ { "title": "Senior Technical Product Specialist – Product Team", "years": "Mar 2025 – Present", "highlights": [ "Drive translation of AI and genomic data capabilities into market-ready healthcare products", "Define product requirements, regulatory compliance needs, and customer impact", "Shape product roadmap balancing technical depth and business value" ] }, { "title": "Business Solutions Lead – Bioinformatics Team", "years": "Apr 2024 – Feb 2025", "highlights": [ "Led GWAS and population-scale genomics projects with reproducible pipelines", "Integrated regulatory, clinical, and computational requirements into workflows", "Served as bridge between research, engineering, and product stakeholders" ] }, { "title": "Senior Data Scientist / Engineer – Engineering Team", "years": "2021 – Mar 2024", "highlights": [ "Built cloud-native genomic pipelines using Nextflow, Spark, Azure/AWS/G42 Cloud", "Designed scalable architectures for healthcare data processing and security", "Contributed to foundational platforms like DataSense for large-scale genomic processing" ] } ] }, { "company": "DSM", "roles": [ { "title": "Manger Data Science", "highlights": [ "Led first large-scale deployment of ML models on AWS SageMaker", "Standardized end-to-end ML deployment processes across the organization", "Mentored peers and streamlined MLOps and monitoring", "Delivered scalable, reproducible ML solutions forming foundation of AI initiatives" ], "skills": ["AWS SageMaker", "MLOps", "End-to-End ML Pipelines", "Model Monitoring", "Cross-functional Collaboration"] } ] }, { "company": "Nielsen", "roles": [ { "title": "Lead Data Scientist – Methods Team", "highlights": [ "Led data science initiatives analyzing retail data collection processes", "Developed deduplication methods using Locality-Sensitive Hashing", "Implemented synthetic data generation using GANs for structured datasets", "Designed classification models to optimize field associate routing", "Ran POCs to identify scalable data science solutions" ], "skills": ["Data Science Leadership", "Machine Learning", "GANs", "Synthetic Data", "LSH", "Data Cleaning & Deduplication", "Optimization", "Cross-Functional Collaboration"] }, { "title": "Data Science Product Leader – New Methods", "highlights": [ "Promoted to lead AI/ML innovation across Nielsen’s product portfolio", "Implemented OCR, explainable AI, and human-in-the-loop models", "Adapted models during COVID to handle outliers and data inconsistencies", "Integrated AI innovations across multiple products", "Provided strategic guidance on AI adoption combining technical and business insights" ], "skills": ["AI/ML Product Leadership", "AI", "OCR", "Human-in-the-loop Models", "Responsible AI", "Process Automation"] } ] }, { "company": "Deloitte", "roles": [ { "title": "Python Developer / ML Application", "highlights": [ "Developed internal data science product for FSI, Retail, and Healthcare sectors", "Led first demonstration of ML product internally, enabling organizational adoption", "Collaborated with cross-functional teams and startups to co-build scalable solutions", "Contributed to a product still successfully running internally" ], "skills": ["Python", "Machine Learning", "Big Data / Cloud (Azure/AWS)", "Document Analytics", "Product Development", "Cross-functional Collaboration"] } ] }, { "company": "Capgemini", "roles": [ { "title": "Associate Consultant – Center of Excellence", "highlights": [ "Conducted technology assessments and POCs for clients", "Advised clients on data strategy and technology adoption", "Designed and executed innovative approaches for leveraging client data" ], "skills": ["Emerging Technologies", "POC Development", "Data Strategy", "Data Analytics", "Client Consulting"] } ] } ] }