Nihal Veeramalla
Senior AI Engineer @ The World Bank Group
About
Results-driven Data Scientist with extensive experience delivering end-to-end machine learning, NLP, and AI solutions across diverse domains. Skilled in customer segmentation, document classification, predictive analytics, and generative AI using Python, Scikit-learn, TensorFlow, and PyTorch. Proven expertise in deploying scalable models and data pipelines on cloud platforms such as AWS, GCP, and Azure, with strong knowledge of MLOps best practices including CI/CD, MLflow, and model monitoring. Adept at feature engineering, hypothesis testing, hyperparameter tuning, and statistical modeling to derive actionable insights that drive business value. Effective communicator who collaborates with cross-functional teams to translate complex data into strategic recommendations.
United States
Washington DC-Baltimore Area
Information Technology & Services
Autogen, LangChain, Crew ai, Mcp, Langraph, Scikit-learn, CNN models, MySQL, processing efficiency, SciPy, Monetary, Frequency, Combined Recency, leveraging NLP, frameworks , TensorFlow , Jira, Stakeholder Engagement, Financial Analysis, Microsoft Project
Experience
Education

Data Analytics Engineering
Specialized in data analytics, machine learning, and big data technologies. Gained proficiency in Python, SQL, cloud computing, and data visualization. Developed strong analytical and problem-solving skills through hands-on projects, such as AI chatbot development, terrorism analysis, sentiment analysis, sales forecasting, and melanoma detection. These experiences prepared me to tackle complex data challenges in various industries.

Data science
At IIIT Bangalore, I specialized in data science, focusing on analytics, visualization, machine learning, and deep learning. I gained hands-on experience with neural networks, CNNs, RNNs, and advanced machine learning techniques. This program enhanced my proficiency in Python, SQL, cloud computing, and data visualization, equipping me with the skills to tackle complex data challenges and develop sophisticated AI models.
Nihal Veeramalla's Contact Information
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