I am a data scientist with over 4 years of experience delivering machine learning, predictive analytics, and data science solutions for enterprise-scale environments. I specialize in building end-to-end ML pipelines, deep learning, NLP, transformer models, and AI-driven analytics using Python, SQL, and modern tools such as Databricks and Snowflake. I enjoy turning unstructured data into actionable insights, collaborating with stakeholders, and deploying scalable models via API endpoints and CI/CD pipelines. I excel at exploratory data analysis, hypothesis testing, A/B testing, and creating dashboards to support decision-making.

Chandana Vemula

I am a data scientist with over 4 years of experience delivering machine learning, predictive analytics, and data science solutions for enterprise-scale environments. I specialize in building end-to-end ML pipelines, deep learning, NLP, transformer models, and AI-driven analytics using Python, SQL, and modern tools such as Databricks and Snowflake. I enjoy turning unstructured data into actionable insights, collaborating with stakeholders, and deploying scalable models via API endpoints and CI/CD pipelines. I excel at exploratory data analysis, hypothesis testing, A/B testing, and creating dashboards to support decision-making.

Available to hire

I am a data scientist with over 4 years of experience delivering machine learning, predictive analytics, and data science solutions for enterprise-scale environments. I specialize in building end-to-end ML pipelines, deep learning, NLP, transformer models, and AI-driven analytics using Python, SQL, and modern tools such as Databricks and Snowflake.

I enjoy turning unstructured data into actionable insights, collaborating with stakeholders, and deploying scalable models via API endpoints and CI/CD pipelines. I excel at exploratory data analysis, hypothesis testing, A/B testing, and creating dashboards to support decision-making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Data Scientist at LatentView Analytics
June 1, 2022 - December 1, 2024
Developed machine learning models for customer segmentation, churn prediction, forecasting, and anomaly detection using Python, SQL, Scikit-learn, Statsmodels, and PyTorch. Performed EDA, statistical analysis, regression, clustering, feature engineering, and A/B testing on large-scale datasets, improving analytical efficiency. Built scalable ETL pipelines and automated data workflows using Databricks, Snowflake, and REST APIs, reducing manual data processing. Implemented NLP and deep learning solutions with transformer models and embeddings for text analytics and sentiment analysis. Deployed ML applications via FastAPI, Docker, MLflow, CI/CD, and Kubernetes on Azure and Databricks to support real-time predictions. Built and used RAG pipelines with LangChain and LlamaIndex for semantic search and AI-assisted insights. Created Power BI dashboards to deliver predictive insights and improve stakeholder reporting.
Data Scientist / Machine Learning Engineer at Experion Technologies
May 1, 2020 - May 1, 2022
Developed ML models for customer segmentation, forecasting, churn analysis, and classification using Python, Scikit-learn, XGBoost, and TensorFlow, improving prediction accuracy. Built REST API-based ML services with FastAPI and containerized applications for automated analytics. Supported cloud-based deployment on AWS and Azure, with CI/CD integration. Performed EDA, regression, clustering, feature engineering, and hypothesis testing to improve analytical efficiency. Built ETL pipelines with Spark and AWS for processing large-scale data. Implemented NLP and deep learning solutions for sentiment analysis and text classification. Created dashboards and forecasting visuals using Power BI and Matplotlib.
Junior Data Scientist at Quantiphi
April 1, 2020 - April 1, 2021
Developed ML models for customer analytics, sales forecasting, and classification, improving prediction accuracy and supporting reporting. Performed EDA, statistical analysis, regression, feature engineering, and data validation. Built ETL workflows and automated data processing scripts using Python, SQL, and Apache Spark to clean, transform, and prepare large datasets. Implemented NLP and text analytics using TensorFlow, NLTK, and word embeddings for sentiment analysis and text classification. Developed REST API-based data ingestion workflows and integrated external data sources into analytics systems. Created dashboards using Power BI, Tableau, and Matplotlib to deliver KPI reporting, forecasting insights, and operational analytics.

Education

Master’s in Data Science at Teesside University, UK
January 11, 2030 - June 29, 2026
Bachelor of Engineering in Electrical and Electronics Engineering at Jawaharlal Nehru Technological University Hyderabad (JNTUH)
January 11, 2030 - June 29, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Media & Entertainment