Jun 2023 – Aug 2023
Data Science Graduate Intern at Marsh McLennan
New York, NY
Peer-grouping of insurance clients based on claims data (LLMs, Clustering, Dimensionality Reduction, Hypothesis Testing).
Sargun Nagpal
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Master's in Data Science student at NYU with 3+ years of professional and research experience in Data Science and Machine Learning.
Transcript (GPA: 4.0/4.0)
Experience
Jun 2019 – Jul 2021
Software Engineer - Data Science at Fidelity Investments
Bangalore, India
Information extraction from unstructured documents, email fraud surveillance, text generation and summarization.
Aug 2021 – Jul 2022
Research Engineer at ML2CT Lab, Ashoka University
Sonipat, India
Mentors:
Dr. Gautam Menon,
Dr. Debayan Gupta
Statistical modeling of social contacts in cohort studies, synthetic population generation and agent based simulations.
Mar 2021 – Jul 2022
Research Trainee at TavLab, IIIT Delhi
Delhi, India
Mentor:
Dr. Tavpritesh Sethi
NLP for misinformation detection, Language Models and Machine Learning for covid-19 case prediction.
Jul 2018 – Dec 2018
Data Science Intern at Fidelity Investments
Bangalore, India
Cryptocurrency price prediction using stacked LSTM networks, time series modeling of Bitcoin prices.
May 2017 – Jul 2017
Summer Intern at Hindustan Petroleum Corporation Ltd.
Delhi, India
Computational data pipelines to monitor and prevent oil pilferage and fraud.
Education
2022–2024
M.S. Data Science, New York University (NYU)
New York, NY
GPA: 4.0/4.0
Coursework on NLP, Machine Learning, DL, Big Data and Causal Inference.
2015–2019
B.E. (Hons.) Mechanical Engineering, Birla Institute of Technology and Science (BITS), Pilani
Pilani, India
GPA: 8.08/10
Coursework on Data Mining, Machine Learning, Deep Learning, Optimization.
Skills
• Languages: Python, SQL, R, Java, C, C++
• Frameworks: Git, AWS, Spark, Hadoop, Docker
• Libraries:
- Data Wrangling: Numpy, Pandas
- Visualization: Matplotlib, Seaborn, Plotly
- DL & ML: PyTorch, TensorFlow, scikit-learn
- NLP: Transformers, Spacy, NLTK
- Big Data: Pyspark, Dask
- Statistics: SciPy, statsmodels
Publications
Preprint
P2
Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States
Ridam Pal, Sanjana S, Deepak Mahto, Kriti Agrawal, Gopal Mengi, Sargun Nagpal, Akshaya Devadiga, Tavpritesh Sethi.
2023.
P1
Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases
Journal
J2
Seasonal variations in social contact patterns in a rural population in north India: Implications for pandemic control
Sargun Nagpal, Rakesh Kumar, Riz Fernando Noronha, Supriya Kumar, Debayan Gupta, Ritvik Amarchand, Mudita Gosain, Hanspria Sharma, Gautam Menon, Anand Krishnan.
PLOS One, 2022.
J1
Genomic Surveillance of COVID-19 Variants with Language Models and Machine Learning
Sargun Nagpal, Ridam Pal, Ashima, Ananya Tyagi, Sadhana Tripathi, Aditya Nagori, Saad Ahmad, Hara Prasad Mishra, Rishabh Malhotra, Rintu Kutum, Tavpritesh Sethi.
Frontiers in Genetics, 2021.
Featured in CDC Hot Topics of the Day
Conference
Relevant Coursework
NYU Center for Data Science
- Natural Language Processing
- Deep Learning
- Machine Learning
- Big Data
- Causal Inference
- Probability & Statistics for Data Science
- Optimization & Computational Linear Algebra
- Introduction to Data Science
BITS Pilani
- Data Mining
- Machine Learning
- Neural Networks and Fuzzy Logic
- Engineering Optimization
- Probability & Statistics
- Multivariate Calculus
- Linear Algebra
- Differential Equations
- Quality Control, Assurance & Reliability (applied statistics)
- Symbolic Logic
- Supply Chain Management
- Principles of Management