Gopichand Bandarupalli
Assistant System Engineer @Tata Consultancy Services
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WORK HISTORY
Assistant System Engineer @Tata Consultancy Services
Hyderabad, IN
Project: Customer Segmentation Analysis• Collected, cleaned, and pre-processed customer data for analysis• Conducted Exploratory Data Analysis (EDA) using SQL and applied clustering algorithms such as K-Means and Hierarchical Clustering to segment customers• Utilized advanced techniques like RandomForest, XGBoost, Linear Regression, Logistic Regression, GBM, Principal Component Analysis (PCA), ARIMA, and SARIMA for dimensionality reduction and predictive modeling• Created detailed visualizations using Matplotlib and Seaborn, leading to an 18% improvement in targeted marketing campaigns• Used AWS SageMaker for training and deploying ML models, improving scalability and performance• Leveraged AWS EC2 for cloud-based data processing and model execution, enhancing computational efficiency• Implemented web scraping with Python and BeautifulSoup to gather external customer insights, integrating the data into analytical pipelines within a Linux environment for enhanced segmentation and predictive modeling• Used LLMs and NLP for text analysis and insights• Utilized deep learning frameworks like PyTorch, TensorFlow, and PySpark to enhance model performance and efficiency
EDUCATION
VIGNAN UNIVERSITY
Bachelor of Technology, Information Technology
ABOUT GOPICHAND BANDARUPALLI
Junior Data Scientist with 2.5 years of experience in Python, Machine Learning, Deep Learning, and Generative AI. Skilled in forecasting (ARIMA, SARIMA), customer segmentation (K-Means, Hierarchical Clustering), and predictive modeling (Random Forest, XGBoost, GBM, Regression models).Proficient in SQL, PySpark, ETL pipelines, feature engineering, and data visualization (Matplotlib, Seaborn, Plotly). Hands-on with AWS SageMaker, EC2, S3, Snowflake, Iceberg, Docker, Kubernetes, and Git for scalable ML solutions.Experienced in LLMs, LangChain, Hugging Face, BERT, GPT, RAG, and NLP tasks such as text generation, summarization, and sentiment analysis. Strong in Linux, web scraping, and cross-team collaboration.
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