# Keerthana Bellam

Keerthana Bellam is a remote worker on Himalayas, AI Analyst at Workada, based in United States.

Source: https://himalayas.app/@keerthanabellam

```text
I build LLM-powered workflows, RAG applications, and machine learning systems that reduce operational effort.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | United States |
| Authorized to work in | United States |
| Job categories | Generative AI Engineer, Machine Learning Engineer, AI Analyst, Data Analyst |
| Skills | Python, R, SQL, JavaScript, C++, Git, GitHub, TypeScript, Generative AI, Large Language Models, Natural Language Processing, Prompt Engineering, LLM Integrations, Function Calling, AI Agents, Agentic Workflows, LangGraph, Crew AI, GuardRails, Responsible AI, Lang Chain, RAG, Embeddings, Vector Search, Semantic Search, Reranking, Faiss, Pinecone, ChromaDB, Milvus, Weaviate, Neo4j, Elasticsearch, Classification, regression, Clustering, Random Forest, XGBoost, LightGBM, scikit learn, Feature Engineering, Hyperparameter Tuning, Time series Forecasting, Anomaly Detection, Statistical Modeling, Deep Learning, CNN, Transformer Models, PyTorch, TensorFlow, Hugging Face Transformers, BERT, Model Evaluation, A B Testing, Hypothesis Testing, SHAP, LIME, ROC AUC, Precision Recall, RMSE, MAPE, ETL, Data Pipelines, Apache Spark, Kafka, Airflow, Delta Lake, Pandas, NumPy, Exploratory Data Analysis, Tableau, Power BI, fastAPI, Flask, REST APIs, Docker, Kubernetes, CI CD, Jenkins, MLFlow, Model Monitoring, Experiment Tracking, AWS, S3, EC2, AWS Lambda, AWS Sagemaker, Amazon Bedrock, Azure, Azure Machine Learning, GCP, BigQuery, Internal Tool Development, API Integration, SaaS Integration, Async Workflows and Background Jobs, Webhooks, MySQL, PostgreSQL, Cassandra, Snowflake, Astra DB, Redis, Jira, Confluence, Notion, Agile, SDLC, Stakeholder Management, Excel, Pivot Tables, V Lookups, OpenAI API, Streamlit, Google Gemini API |

## About

```text
I've built AI-assisted reporting and automation workflows at Workada, reducing manual processing by roughly one hour per day and shortening report turnaround from three business days to under two.

I design prompt-engineering, model-evaluation, and production monitoring processes that improve output quality, correct recurring model errors, and support adoption through clear documentation. At Rowan University Campus Recreation Center, I also automated operational reporting and consolidated six manual reports into two KPI dashboards.

Previously at BuiltInTech, I developed a customer churn prediction pipeline for 100K+ accounts, improving F1 performance from 0.79 to 0.87. I build practical GenAI products with Python, Streamlit, RAG, LangChain, OpenAI, and vector search, including resume analysis and AI-powered data-analysis tools.
```

## Experience

### AI Analyst (current)

Workada. Aug 2024 - Present

```text
Analyzed internal business workflows and developed AI- and LLM-assisted reporting workflows, cutting manual processing time and improving reporting turnaround. Built documentation and standardized procedures to support stakeholder adoption and reduce onboarding time.
```

Skills: AI, LLM, Prompt-Engineering, Model-Evaluation, Workflow-Automation, Reporting, Documentation, Stakeholder-Management

### Office & Data Automation Assistant

Rowan University Campus Recreation Center. Jan 2025 - May 2026

```text
Developed data automation workflows across operational data areas and built automated Excel KPI dashboards, consolidating manual reports. Automated repetitive data-preparation and reporting processes, reducing weekly reporting effort.
```

Skills: Excel, Pivot-Tables, V-Lookups, Formulas, Trend-Analysis, Data-Automation, Reporting, AI-Tools

### ML Engineer

BuiltInTech. Jun 2022 - Jul 2024

```text
Developed an end-to-end customer churn prediction pipeline using Python, Pandas, NumPy, and SQL. Engineered features and trained classification models, performing hyperparameter tuning to improve performance.
```

Skills: Python, Pandas, NumPy, SQL, Machine-Learning, Random-Forest, Decision-Trees, XGBoost, Feature-Engineering, Hyperparameter-Tuning, Cross-Validation, Model-Evaluation

## Education

### Rowan University

Master of Science, Data Science

```text
Pursuing a Master of Science in Data Science at Rowan University.
```

### Koneru Lakshmaiah Educational Foundation

Bachelor of Technology, Computer Science Engineering

```text
Earned a Bachelor of Technology in Computer Science Engineering from Koneru Lakshmaiah Educational Foundation.
```

## Tech stack

- Snowflake
- Apache Spark
- Tableau
- Amazon EC2
- Amazon S3
- GitHub
- Kubernetes
- Jenkins
- NumPy
- Pandas
- MySQL
- PostgreSQL
- Cassandra
- Neo4j
- Redis
- Jira
- JavaScript
- Python
- C++
- Azure Machine Learning
- TensorFlow
- PyTorch
- MLflow
- scikit-learn
- Streamlit
- Kafka
- Flask
- FastAPI
- Confluence
- Notion
- Elasticsearch
- Milvus
- AWS Lambda
- TypeScript
- Git
- Docker
- Airflow
- GuardRails
- SQL
- Amazon SageMaker
- XGBoost
- LightGBM
- LangChain
- Weaviate
- ChromaDB
- Pinecone
- CrewAI
- Delta Lake
- OpenAI API
- Google Gemini API
- Faiss
- LangGraph
- Power BI

To contact Keerthana, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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