About

Neeraj Ingle is a skilled Senior Technical Associate at Sears with a strong focus on data analytics in local commerce and home services to improve customer and technician experience. With 5.95 years of relevant experience, his primary skills include data fetching, exploration, cleaning, and reporting using Python. Previously, Neeraj worked as a business analyst for diagnostic analytics, where his core competencies were querying, dashboarding, reporting, and building automated task pipelines. He helped product and marketing teams make informed decisions, improving customer and phlebotomist experience. He also worked as a content strategist, focusing on the development of SQL, Tableau, and NLP courses with professors and industry experts. Before that, he was an experienced Software Engineer with a demonstrated history of working in the information technology and services industry. He is skilled in JavaScript frameworks like Angular 4, React with Redux, and VueJS. Neeraj is a strong engineering professional with a Bachelor’s Degree focused on Computer Science from BITS Pilani KK Birla Goa Campus. He is familiar with data analysis and visualization using Python, SQL, Tableau, Excel, and R. He is also proficient in deep learning, NLP, and Apache Airflow. Currently, Neeraj is a member of the Sears Deep Learning Centre (SDLC) team responsible for retail and home services analytics at Transformco and its subsidiaries like Sears and KMart. He is using Google Analytics and Google Tag Manager along with JavaScript to create custom functionality to track and analyze user behavior on Sears ecommerce sites. He has also worked on the understanding of Field Service Edge, which is software used to schedule appointments for technicians to repair and perform maintenance of electrical and other home appliances. Additionally, he has performed market basket analysis on data for Kenmore to understand customer behavior regarding Huggies vs. other brands. Neeraj's past experience includes working as a Business Analyst at PharmEasy, where he was a member of the diagnostics analytics team focused on maximizing customer outreach and optimizing sample collection by phlebotomists. He was also a Data Science Learner on a learning sabbatical to gain knowledge and dive deep into data analytics, business analytics, data science, machine learning, NLP, and deep learning. He applied his skills and libraries in multiple self-motivated projects. Neeraj's tech stack includes SQL, JavaScript, Python, Deep Learning, NLP, Redux, Software Engineer, Apache Airflow, AngularJS, Data Scientist