Adaptable data science professional with 10+ years of industry experience of handling projects in Banking & Finances, Real Estate and Manufacturing. From Applied Statistics to Project Management, I am capable of providing innovative solutions by visualizing novel stories out of unseen data and by bringing creative insights to help in decision making. My experience includes projects and research with a focus on Machine Learning, Fraud Detection and Forecasting on real-time data. - Experience in Machine Learning (Regression, Classification, Clustering, SVM, Naive Bayes etc) - Experience in Time Series Forecasting, Fraud Detection, Recommendation Systems. - Proficient in data wrangling using Pandas, NumPy, SciPy and data visualization libraries such as matplotlib, seaborn, ggplot2 - Strong Statistical skills with strong problem solving and decision-making - Strong experience with ETL, data warehousing design, database performance tuning Analytics Tools and Languages: SQL, Python, R, Pyspark, SparkSQL, SAS, Tableau, Power BI, MS Excel Distributed processing - Spark, Hadoop, MapReduce Cloud - S3, Redshift, AWS EMR, Glue, AWS Athena, Azure Services, ETL- SSRS, SSIS, SAP Objects, Informatica, Talend Data Science : Machine Learning, Statistical Data Analysis, Predictive Analytics, Exploratory Data Analysis, Data Visualization Soft Skills : Effective Communication and Leadership and Team Building skills. I am open to learn new technologies.