Syed Naseer

Senior Data Analyst @Polaris Inc.

MN, US

At Polaris, I specialize in leveraging data to drive strategic decisions and enhance operational efficiency. My primary focus lies in conducting predictive analysis of credit scoring to assess profitability and manage risk for new and existing credit applicants. I\'ve led initiatives to enhance bank authentication protocols by implementing advanced clustering methods on transaction data, resulting in a notable 20% improvement in classification accuracy using Python\'s Scikit-learn and Spark MLlib.Extensively leveraging SQL queries, R, and Python packages, I extract and analyze data, performing tasks such as Exploratory Data Analysis (EDA), Data Wrangling, and algorithm development for data mining. Additionally, I\'ve implemented Natural Language Processing (NLP) techniques, including pre-trained word2vec models, to enhance in-app search functionality.In the data transformation domain, I\'ve played a crucial role in migrating data from legacy tables to HDFS and HBASE tables using Sqoop. Moreover, my responsibilities extend to research on Reinforcement learning and control, employing tools like Tenso rFlow and Torch, alongside machine learning models such as Scikit-learn.Utilizing Python-based data manipulation and visualization tools like Pandas, Matplotlib, and Seaborn, I ensure data integrity by cleaning corrupted data before generating reports requested by the business. Furthermore, I\'ve developed various extension models, encompassing Random Forest, logistic regression, Linear regression, Support Vector Machine (SVM), Naive Bayes classifier, ARIMA/ETS model, and K-Centroid clusters.Finally, I\'ve developed Tableau-based dashboards from Oracle and SQL databases, presenting insights to the business team for visualization purposes. I continuously utilize a diverse set of tools and techniques, including R, Python, T-SQL, MS SQL Server, Spark, HDFS, Scala, Shiny, Oracle, Teradata, Java, and Tableau,