Data Scientist with 8 years of experience in Analytics/Data Science space for companies in advertising, strategy, and media communication space like Merkle (Dentsu), Publicis Sapient and The Marketing Store, North America. I also have a Master's of Science in Analytics degree from the University of Illinois at Chicago. I am currently working as a Lead Analyst (Performance Marketing & Advanced Analytics) at Merkle providing Analytics solutions for a leading automobile client. Leading a specific business domain with respect to Analytics solutions on the project using Python, Machine Learning, Big Query, Adobe Analytics, etc. as my primary tools. I have also worked at The Marketing Store in Chicago as a Data Scientist. I worked on a number of analytics initiatives for clients like Nissan & T-Mobile. Some of the notable highlights were building a custom tool using statistical techniques that help the team to automate the process of finding insights manually and in process find other complex patterns from the data. My past experience also includes 2 years at PublicisSapient where I worked as a Performance Marketing Analyst delivering insights and developing analytics solutions for clients like Verizon, Honda, JCPenney, Telstra, etc. Notable Clients worked for: Nissan, T-Mobile, Verizon, Qantas, Telstra, JCPenney, etc. GitHub: https://github.com/shoreyarchit Tableau Profile: https://public.tableau.com/profile/archit.shorey#!/ 1. Programming Skills: R, Python, SQL, Spark, Javascript, HTML 2. Machine Learning: Decision Trees, Random Forests, Support Vector Machines, XGBoost, K-NN, Text Mining, NLP, Topic Modelling, Sentiment Analysis, PCA, NMF, Neural Networks, etc. 3. Statistical Modelling: Regression, Classification, Clustering, etc. 4. Visualization Tools: Tableau, Advanced Excel, ggplot2, etc. 5. Miscellaneous: GitHub, BitBucket, AWS, 6. Web Analytics: Adobe Analytics, Dynamic Tag Manager, Google Analytics, Google Tag Manager, Ensighten Manage 7. Adobe Certified Expert as an Analytics Business Practitioner. 8. Big Data Analytics: Spark, PySpark, Big Query