Neel Singh
Indiana
Summary
Master's student in Computer Science at Purdue University, graduating in May 2025. Skilled in AI/ML methodologies, data analytics, and cloud computing. Proficient in Python, SQL, and big data tools, specializing in constructing machine learning models, data pipelines, and business optimization solutions. Committed to leveraging AI innovation to enhance financial systems.
Overview
9
9
years of professional experience
Work History
Cloud and Intelligent Automation Developer
Syngenta
05.2024 - Current
- Developed AI/ML solutions to optimize business operations, increasing efficiency by30%
- Built ETL pipelines for data ingestion and transformation using Python and SQL
- Worked with cloud-based AI services (AWS, GCP) to deploy ML models at scale
- Analyzed user data to improve recommendation systems and fraud detection
- Automated workflows using Airflow and developed APIs to enhance system integration
AI Scientist
Datapoem
10.2022 - 07.2023
- Designed and implemented AI models for business optimization and sales growth
- Developed predictive models using Python and statistical techniques, enhancing accuracy by18%
- Conducted NLP-based analysis to extract insights from structured and unstructured data
- Optimized machine learning pipelines to scale real-time data processing
Data Analyst
Zenith
06.2016 - 09.2022
- Led data-driven projects to enhance business intelligence and decision-making
- Built and maintained scalable ETL pipelines for structured and unstructured data
- Developed dashboards in Tableau and Power BI to visualize key performance metrics
- Applied statistical models for time series forecasting and customer segmentation
Education
Master's - Computer Science
Purdue University
Indiana05.2025
Bachelor's - Information Science
Visvesvaraya Technological University
Bangalore06.2016
Skills
- Programming: Python, SQL, R, C, TypeScript
- AI & ML: Machine Learning, Deep Learning, NLP, Generative AI, Predictive Modeling
- Data Processing: ETL Pipelines (dbt, Luigi, Airflow), Data Wrangling
- Distributed Computing: Spark, Hadoop, Kafka, Hive, Snowflake
- Cloud & DevOps: AWS, GCP, Docker, Kubernetes
- Statistical Models: Regression, Classification, Time Series Analysis, Clustering
- Visualization: Tableau, Power BI, Excel
Awards
Ranked161st in an All-India Kaggle Machine Learning Hackathon., Best Paper Award at Purdue Symposium2024 for AI-driven chatbot research.
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 - Information Science
Visvesvaraya Technological University
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