I believe in: Stay Hungry, Stay Foolish and Yield Smart☛ Senior Applied Scientist at Amazon, working towards improvement of Amazon GenAI abilities using advanced NLU, SLU and Deep Learning.☛ Graduated from The State University of New York, Buffalo with Master's in Management Information Systems.☛ Data Science Enthusiast, Result-oriented team player with strong communication abilities, and proven leadership qualities.☛ Thorough Professional with 10+ years of work experience as Data Scientist in finance and accounting domain.☛ Proficient in leading projects, business analysis, process improvement, client-focused interactions and managing end to end delivery with an aim to maximize profits and lead industries in highly competitive situations.☛ Adept in various aspects of SDLC from requirement gathering to post-production support while complementing PMO activities.☛ Working for IBM for 3.5 years, I have acquired considerable experience in quantitative analysis, data modeling, data analysis, predictive analysis and storytelling in Billing and Ordering systems. ☛ I am currently expanding my learning in the field of Deep Learning & NLU.☛ I believe the analytical skills acquired during my job have set me up to assume a role in any industry. Being part of critical projects, I am well suited to fast pace challenging environments.Skills:Programming: SQL, Python, R, SASTools: Tableau, RStudio, Spyder, Jupyter Notebook, SAS Enterprise Miner, Weka, Excel, AWSDatabases: IBM DB2, Oracle 11g, MySQLBig Data: Hadoop, HDFS, Map-reduce, HiveStatistics: Hypothesis testing, Exploratory data analysis, Descriptive statistics, Probability distribution, Sampling distribution, ANOVAMachine learning: Linear regression, Logistic regression, Decision Trees, Random Forest, Association Rule Mining(Market Basket Analysis), Naive Bayes, K-nearest neighbors, Recommendation Systems, Support Vector Machines, Gradient DescentContact Information:✉: shubham8garg@gmail.com, shubhamg@buffalo.edu