Sai Nithin M

About Sai Nithin M

Passionate Data Scientist with 10+ years of experience years of industrial experience in Data Science, Machine Learning and Natural Language Processing, with proven technical expertise in developing and implementing large scale algorithms to significantly impact business revenues and guide businesses in taking quality data driven decisions.

Experience

1. Senior Data Scientist

   Amway

   Aug 2023 — Present · US

   Extensively used Python (Pandas, NumPy, SciPy, scikit-learn, Seaborn, matplotlib) for developing ML algorithms across all phases of data mining: collection, cleaning, modeling, validation, visualization, and gap analysis. Applied NLP and deep learning (ANN, CNN with Keras/TensorFlow, attention mechanisms, distant supervision) to extract company relations from unstructured news, achieving 91% accuracy in relation classification. Designed revenue optimization algorithms to maximize advertiser returns and built risk modeling systems for diversified mutual fund portfolios, maintaining target allocations through rebalancing.Developed predictive and what-if analysis models in R with HDFS, Hive, and Teradata, and implemented distributed ML using Hadoop, Spark, PySpark, and AWS. Built R-based distributed random forest models, supported fraud detection and cluster analysis, and applied time series forecasting (AR, MA, ARIMA, GARCH, ARCH). Designed Tableau dashboards and reports with charts, graphs, and summaries for stakeholders.Implemented supervised learning algorithms (Logistic Regression, Decision Trees, KNN, Naïve Bayes, Bayesian methods), evaluated models with cross-validation, log loss, ROC, and AUC, and optimized features. Used PyTorch and reinforcement learning for advanced model development.Worked with AWS Cloud Search to align training data with labeled databases, improving classification pipelines. Applied data quality validation to critical data elements, identifying anomalies and driving process improvements to reduce workload and improve accuracy. Analyzed user click patterns and third-party data to enhance targeting algorithms. Experienced in Python (2.7, 3.x, Anaconda, iPython) and Agile methodology for internal application development.