Chaitanya Arora
Vetted Talent
Chaitanya Arora
Vetted Talent
Highly-skilled Machine Learning Engineer with over years of experience in applying data science and machine learning algorithms to solve complex business challenges. Specialized in Natural Language Processing (NLP), Deep Learning, Generative AI, LLMs and cloud computing technologies(AWS and GCP).
- Role
Associate Data Scientist
- Years of Experience
3 years
Skillsets
- OCR
- Python
- TensorFlow
- Rest APIs
- Analytical
- Keras
- Web Services
- APIS
- Algorithms
- ETL pipelines
- Google Cloud Platform
- MicroServices
- On
- Troubleshooting
- GCP
- Vertex AI
- Data Science
- Random Forest
- Cloud
- Git
- Scikit-learn
- Nltk
- Lstm
- Transformers
- ML
- Pytorch - 3 Years
- Pytorch - 3 Years
- NLTK (NLP Analysis) - 3 Years
- 2D
- Regression Analysis
- Statistics
- NLP
- MongoDB
- HuggingFace
- Deep Learning
- LLM
- ML Engineer with Python - 3 Years
- Lambda
- Docker
- AWS
- LLAMA
- LLMs
- SQL
- Machine Learning
- ETL
- AI
- flask
Vetted For
10Skills
- Roles & Skills
- Results
- Details
AI Chatbot Developer (Remote)AI Screening- 71%
- Skills assessed :CI/CD, AI chatbot, Natural Language Processing (NLP), AWS, Azure, Docker, Google Cloud Platform, Kubernetes, Machine Learning, TypeScript
- Score: 64/90
Professional Summary
3Years
- Jun, 2023 - Present1 yr 10 months
Machine Learning Engineer
Liaison Medicare Pharma - May, 2022 - Jun, 20231 yr 1 month
Analyst - I
Aon - Sep, 2020 - Feb, 20221 yr 5 months
Associate Data Scientist
Syntax Edutek
Applications & Tools Known
AWS SQS
AWS SES
AWS Lambda
AWS S3
AWS Sagemaker
Vertex AI
Keras
YOLO
OCR
Metabase
Work History
3Years
Machine Learning Engineer
Liaison Medicare PharmaJun, 2023 - Present1 yr 10 months
Implemented salesperson pitch audit mechanism, NLP system for data extraction, and forecasting model using LSTM. Developed Flask based REST APIs and microservices architecture with AWS and Vertex AI.
Analyst - I
AonMay, 2022 - Jun, 20231 yr 1 month
Designed ML models to predict risk scores, maintained data configuration in ETL pipelines, and implemented Langchain layer for LLM and AI use cases.
Associate Data Scientist
Syntax EdutekSep, 2020 - Feb, 20221 yr 5 months
Achievements
- Implemented salesperson pitch audit mechanism with 93% accuracy
- Reduced LLMs token cost by around 78%
- Implemented 2+ scalable ML inference systems
- Predicted customer risk scores with 89% accuracy
- Live monitoring of lecture classes saving 100s of manhours
- Increased coupon usage by 20%
- Developed 8+ ML use cases with a variety of algorithms
Education
Bachelor of Technology (B.Tech.), Computer Science and Engineering
Lovely Professional University (2021)