Harish Narava Email
Machine Learning Engineer @ Squark
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Harish Narava Location
- Boston, MA, US
Harish Narava Work
- Machine Learning Engineer @ (March 2026 - Present)
- Data Scientist @ (January 2025 - July 2025)
- Machine Learning Engineer @ (January 2022 - December 2022)
- Data Scientist and MLE @ (July 2020 - January 2022)
Harish Narava Education
- Northeastern University
Master's degree (Data Science)
2023-2025 - Osmania University
Bachelor of Commerce - BCom (Computer Science)
2018-2021
Harish Narava Skills
- A/B Testing
- Agentic Automation
- Agile & Waterfall Methodologies
- Agile Methodologies
- Artificial Intelligence (AI)
- Azure Databricks
- Churn Management
- Continuous Integration and Continuous Delivery (CI/CD)
- Cross-functional Team Leadership
- Cross-team Collaboration
- Customer Satisfaction
- Dashboards
- Data Analytics
- Data Management
- Data Pipelines
- Data Science
- Data Visualization
- Deep Learning
- Deployment
- Exploratory Data Analysis
- Extract, Transform, Load (ETL)
- FastAPI
- Healthcare Analytics
- Hugging Face
- Hypothesis Testing
- Kubernetes
- LangGraph
- Large Language Model Operations (LLMOps)
- Large Language Models (LLM)
- MLOps
- Machine Learning
- Matplotlib
- Microsoft Power BI
- Model Context Protocol (MCP)
- Model Evaluation
- Multi-agent Systems
- MySQL
- Natural Language Processing (NLP)
- NoSQL
- Pandas (Software)
- Plotly
- Python (Programming Language)
- Recommender Systems
- Reporting & Analysis
- Retrieval-Augmented Generation (RAG)
- SQL
- Sentiment Analysis
- Stakeholder Relations
- Tableau
- Team Coordination
- Team Leadership
- Terraform
- docker
Harish Narava Summary
- Harish Narava, based in Boston, MA, US, is currently a Machine Learning Engineer at Squark AI. Harish Narava brings experience from previous roles at Fidelity Investments, Tech Mahindra and PGK Technologies. Harish Narava holds a 2023 - 2025 Master's degree in Data Science @ Northeastern University. With a robust skill set that includes A/B Testing, Agentic Automation, Agile & Waterfall Methodologies, Agile Methodologies, Artificial Intelligence (AI) and more.
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