Abhijeet Deshmukh

About Abhijeet Deshmukh

I am a Data and Business Intelligence Engineering enthusiast with a knack for retail, ecommerce, sales, operations and supply chain domain. I am a Master of Science in Industrial Engineering, focused on Data Analytics from Northeastern University, Boston. I am Bachelor\'s in Mechanical Engineering from Sinhgad Institutes affiliated to Pune University, India. I enjoy working with numbers, data computing & analysis and have been a math geek since childhood. I am a hard worker and a quick learner who believes in results but I also try to get better each time. I love to travel, dance, watch sports and engage in social gatherings. On the professional side, I have worked as a Business Intelligence Engineer/Business Analyst for 2+ years and have been a key member of Data Engineering & Business Intelligence team responsible for data and BI reporting automation initiatives via advanced analytics with Big Data (Ownership). In this capacity, I’ve autonomously identified and pursued automation initiatives with significant business impact, and make compelling cases for data modelling, business intelligence reporting, and process automation strategy & products (Think Big, Dive Deep). I’ve routinely prioritized and executed in the face of ambiguity, adapted and deployed new tools and platforms to answer complicated analytical questions, and identified trade-offs between speed and quality of different approaches (Learn and Be Curious, Deliver Results). I’ve worked on full-stack data funneling & modelling, created successful data workflows and KPI metrics, methods to track and troubleshoot data anomalies, and developed a common language for all colleagues to understand and drive these KPIs. I’ve supported data processes - provided the team with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the business.Skills:Programming Languages: Python, R, SQL, HTMLDatabases : MySQL, Oracle, SQL Server, PostgreSQL, MongoDBStatistical Techniques: Hypothesis Testing, ANOVA, Regression Analysis, A/B TestingMachine Learning: Clustering, Classification, RegressionData Integration : Talend Studio, Tableau Prep, AlteryxBusiness Intelligence/Data Reporting : Power BI, Tableau, QlikViewLibraries: Numpy, Pandas, BeautifulSoup, Scikit-learn, Matplotlib, Seaborn, Ggplot, Tidyverse, Dplyr, etc

Experience

1. Senior Data Analyst

   Chewy

   Jun 2023 — Present · Boston, MA, US

   Team: Merchandising Systems & Services

Education

• Northeastern University

  Master of Science - MS, Industrial Engineering

• Savitribai Phule Pune University

  Bachelor of Engineering - BE, Mechanical Engineering