About

Surya Kumar is an Associate Data Scientist at AB Inbev with over 3 years of experience creating machine learning models and retraining systems. He has a strong background in NLP, Computer Vision, Recommendation Systems, and ML Algorithms, consistently optimizing and improving real-time production models by evaluating strategies and testing changes in Model. Surya is skilled at employing statistical methods and designs to yield real gains from model changes. Prior to his current position, Surya worked as an Engineer at Fractal where he was responsible for Data Acquisition, Data Validation, Predictive modeling, Data Visualization, and discovering meaningful business insights. He transformed raw data to conform to assumptions of machine learning algorithms and was efficient in preprocessing data including Data cleaning, Correlation analysis, Imputation, Visualization, Feature Scaling, and Dimensionality Reduction techniques using Machine learning platforms like Python Data Science Packages (Scikit-Learn, Pandas, NumPy). He has expertise in building various machine learning models using algorithms such as Linear Regression, Logistic Regression, Naive Bayes, Support Vector Machines (SVM), Decision trees, KNN, K-means Clustering, Ensemble methods (Bagging, Gradient Boosting), and tuning models using Grid Search, Randomized Grid Search, K-Fold Cross-Validation. Surya is also experienced in using NLP techniques (BOW, TF-IDF, Word2Vec) and toolkits such as NLTK. Surya has a Bachelor of Engineering in Computer Science from Anna University. He has also worked as a Programming Analyst at Cognizant where he engaged with clients and engineers to understand data and problem, analyzed data and found anomalies, trends, and understanding features, and prepared data for modeling and building Topic Modeling using transformer-based architecture BERT. He has hands-on experience in sentiment analysis and Regression, building End to End data pipelines for machine learning models using Azure ETL pipelines, and working experience in Natural Language Processing (NLP) and deep understanding of Statistics/Linear Algebra/Calculus and various optimization algorithms like gradient descent. Surya's technical skills include Data Scientist, Research Scientist, ML, Recommendation system, NLP, C, BERT, Computer Vision, AI, test, SQL, Search, Naive Bayes, SVM, Word2Vec, Tokenization, Normalization, Parts-of-speech, Spring, Scikit, Pandas, Azure, Spring Boot, Sentiment Analysis, Web, Python, DevOps, ETL,