Snigdha Agarwal
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Advisor - Data Science at Eli Lilly and Company | Ph.D (IIITB) | Computer Vision | Deep Learning | Machine Learning | Pharma Manufacturing
I am an AI/ML researcher passionate about solving real-world problems in manufacturing and healthcare. With a Ph.D. in Computer Vision and AI, I bring over a decade of hands-on experience building technical solutions that deliver measurable business outcomes. Throughout my education and career, I have authored publications in top-tier conferences, contributed patents, and led cross-functional teams to translate cutting-edge research into practical, scalable outcomes ensuring innovation meets real-world constraints. One of my defining experiences was pursuing a Ph.D. while working full-time in industry. Balancing both was not only about discipline, but about learning to prioritize, adapt, and excel in high-pressure environments. If you’re taking on bold challenges and want to share experiences or simply talk with someone who’s been there, I’d be glad to connect.
International Institute of Information Technology Bangalore
Doctor of Philosophy - PhD, Artificial Intelligence
January 1, 2019 – April 1, 2025
Vellore Institute of Technology, Vellore
M. Tech , Data Science
January 1, 2015 – January 1, 2017
Chitkara University
Bachelor of Engineering (B.E.), Computer Science
January 1, 2010 – January 1, 2014
Eli Lilly and Company
Advisor - Data Science
October 1, 2025 – Present
Eli Lilly and Company
Senior Principal Scientist
September 1, 2024 – September 1, 2025
Eli Lilly and Company
Senior Consultant
May 1, 2024 – September 1, 2024
Eli Lilly and Company
Senior Consultant
March 1, 2024 – September 1, 2024
Eli Lilly and Company
Manager
March 1, 2023 – March 1, 2024
Eli Lilly and Company
Senior Associate Manager
June 1, 2021 – March 1, 2023
Aditya Birla Management Corporation Pvt Ltd
Assistant Manager - Data Science
December 1, 2019 – June 1, 2021
Bangalore
Siemens Healthineers
Senior Engineer - Data Scientist
August 1, 2017 – December 1, 2019
Bangalore
Wipro
Associate Data Scientist
July 1, 2014 – July 1, 2017
Bangalore
Mobile Web Pixels IT Solutions
iOS Developer
January 1, 2013 – January 1, 2014
AI for Medicine Specialization
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in Data Science and AI, which aligns with roles requiring analytical and problem-solving skills. However, the target role is 'Big Data Engineer', and the resume lacks explicit experience or skills in core Big Data technologies (e.g., Hadoop, Spark, Kafka, distributed systems, data warehousing, ETL pipelines). This represents a significant gap in cultural and technical fit for the specified role, despite strong data science credentials.
Soft Skills & Operational Fit
The candidate's career progression and diverse roles suggest strong leadership and project management potential. However, without psychometric test results or project descriptions, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in an operational context.