Neel Singh
Greensboro,NC
Summary
Enthusiastic Master's student in Computer Science at Purdue University, graduating in May 2025. Skilled in developing scalable Machine Learning models, with expertise in Python, SQL, and EDA. Committed to delivering solutions that enhance customer satisfaction, drive impactful products, and contribute to strategic business advancements.
Overview
8
8
years of professional experience
Work History
Cloud and Intelligent Automation Developer
Syngenta
Chicago, IL
05.2024 - Current
- Successfully designed, built and released to production various features for Syngenta's chatbot including Document Translation, Capturing user's feedback to chatbot responses, Knowledge Bases and Prompt Library.
- This involved working on full stack including React, Node and Typescript on Frontend, backend tools like Django, Rest API, databases like Amazon Redshift and Postgresql and cloud services like AWS Glue, Azure AI services, AWS Kendra using Retrieval Augmented Generation RAG
AI Scientist
Datapoem
Bangalore, India
10.2022 - 07.2023
- Worked on backend to develop and design Data modeling pipeline from data gathering and feature creation to model training, evaluation and deployment.
- Created different features built upon Machine Learning models mainly deep neural networks and XGBoost.
Data Analyst
Zenith
New Delhi, India
06.2016 - 09.2022
- As a lead, my responsibility was client facing, to gather data requirements based on business needs and to bring out key insights with the help of database administration, dashboards,analytics and visualization.
Education
Master's - Computer Science
Purdue University
IndianaBachelor's Degree - Information Science
Visveswaraiah Technological University
Bangalore, IndiaSkills
- Python, Data Analysis, Tableau, PowerBI
- Machine Learning, Deep Learning
- Keras, TensorFlow, PyTorch
- Extract Transform Load (ETL)
- Microsoft Excel, Generative AI
- MLOps, CI/CD pipelines, Version control
- Docker, Statistics, AI Modelling
- Database Management
- Hypothesis Testing, EDA
- Data Visualization, Predictive Modelling
- Regression Analysis
- Linear models, Non-linear models
- Decision trees, Cluster analysis
- XGBoost, Neural networks, KNN
- Feature selection, RESTful API
- SQL, HTML, CSS, Reactjs, TypeScript
- Web Development
- Git, GitHub, Google Cloud Platform
- Linux, Data Science, AI/ML
- Recommendation Systems
- Reinforcement Learning
Projects
- Credit Risk Classification Model,
Developed a highly accurate credit risk classification model with an F1 score of 93%. Logistic regression and XGBoost algorithms were employed to maintain balanced precision and recall.
- Purdue Chatbot,
Created Chatbot for my University to allow students faster access to important college related information. Technologies used include Retrieval Augmented Generation, Fine tuning pretrained model, vector databases,React and Typescript for frontend and Google cloud platform for deployment.
https://mdon.library.pfw.edu/digital/collection/p16776coll9/id/2306/rec/1
Awards and Competition
- Secured 161 All India Rank in Machine Learning Hackathon organized by Kaggle.
- Authored and won award for the best paper in Computer Science department titled "PFW Chatbot" in Purdue's Symposium 2024.
Timeline
Cloud and Intelligent Automation Developer
Syngenta
05.2024 - Current
AI Scientist
Datapoem
10.2022 - 07.2023
Data Analyst
Zenith
06.2016 - 09.2022
Master's - Computer Science
Purdue University
Bachelor's Degree - Information Science
Visveswaraiah Technological University