Rohan Chodapunedi

Rohan Chodapunedi

Data Science Associate @ App Orchid Inc

About

Motivated and detail-oriented data professional with experience in data science and data engineering, specializing in building data pipelines, developing machine learning models, and extracting insights from complex datasets. Skilled in Python, SQL, and cloud-based data platforms, with a strong foundation in statistical analysis, machine learning, and big data tools. Passionate about applying AI and advanced analytics to solve real- world problems and drive business impact. Eager to contribute to innovative teams in the data science and engineering space while continuously learning and expanding expertise in AI/ML technologies.

Country

United States

City

Folsom

Industry

Information Technology & Services

Skill

Amazon Web Services (AWS), PostgreSQL, Microsoft Azure Machine Learning, Large Language Model Operations (LLMOps), SQLAlchemy, Vector Databases, MongoDB, PySpark, Data Engineering, MySQL, TensorFlow, Scikit-Learn, Keras, Microsoft Excel, SQL, Pandas (Software), Python (Programming Language), SAP HANA, SAP BI, Java

Experience

App Orchid Inc

Data Science Associate

App Orchid Inc

LinkedIn
2025-5 - Present · 1 yr 5 mos

Folsom, California, United States

- Implemented retrieval-augmented generation (RAG) pipelines combining embeddings, keyword filters, and contextual prompts for higher recall and precision. - Led the design and deployment of LLM-powered document intelligence pipelines, extracting unstructured compliance data from complex legal contracts. - Integrated Weaviate vector search with Azure OpenAI models to enable semantic clause retrieval - Developed custom post-processing scripts for converting model responses into structured formats (JSON, CSV, PostgreSQL) for integration with analytics and reporting dashboards. - Designed LLM-assisted reasoning chains to handle multi-step contract analysis tasks, including renewal term evaluation and clause similarity detection.

App Orchid Inc

Data Science & Data Visualization Intern

App Orchid Inc

LinkedIn
2024-12 - 2025-5 · 6 mos

Folsom, California, United States

- Perform exploratory data analysis (EDA) on customer data to uncover insights and drive business decisions - Create Entity-Relationship Diagram (ERD) documentation to support database design and management - Develop interactive visualizations and dashboards for Apps/Micro Apps tailored to customer needs - Write and test prompts to optimize model outputs and performance - Conduct unit and regression testing to ensure product quality and reliability - Configure Easy Answers for large language models (LLMs) to enhance product capabilities

Pacific Coast Companies Inc

Data Analytics Intern

Pacific Coast Companies Inc

LinkedIn
2024-6 - 2024-8 · 3 mos

Rancho Cordova, California, United States

- Successfully designed and implemented a robust forecasting model to predict natural gas prices. Leveraging statistical methods and historical data analysis, utilizing tools such as python, pandas, and scikitlearn to develop and validate the model's accuracy. - Cleaning and transforming raw data into meaningful insights that contribute to business objectives. - Spearheaded the development of comprehensive Power BI dashboards that provided actionable insights from complex datasets

App Orchid Inc

Data Science Intern

App Orchid Inc

LinkedIn
2022-6 - 2022-9 · 4 mos

Folsom, California, United States

- Worked with the Engineering team to extract unstructured data using pipeline engines/data connectors. - Researched and analyzed the AI technologies employed by leading companies to understand their competitive advantages - Examined machine learning algorithms, natural language processing (NLP) frameworks, and computer vision solutions utilized by these companies - Produced detailed reports highlighting key findings and insights on the technological landscape of AI in the market

Education

Virginia Tech

Virginia Tech

LinkedIn

Computer Science

2022-8 - 2026-5 · 3 yrs 10 mos

Rohan Chodapunedi's Contact Information

Email

******@***.com

Phone

(**) *** ****

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