Nihal Choudhary

• Performed UAT during database migration from AWS to GCP for customer, content DB.
• Incorporated the customer data scraped for enrichment into cohort analysis for better accuracy in a complex query.
• Built a sales tracker for advertising clients on the platform and segmented them based on frequency and recency.
• Built a scraper for the AWS scripts of SageMaker and Glue to automate the tags and events captured, in order to decrease the turnaround time with the Insights team, with UAT and tests for every production release within the Bobble App.

• Finding opportunities for clients for e-commerce business of Fortune 100 companies over Amazon Seller Central and other services within Amazon like shortages, chargebacks, and advertising.
• Projecting growth of the client using time series techniques, growth rate being dependent on other opportunities and the value.
• Performing audits for clients by helping them find opportunities in advertising practices to increase revenue.
• Analysis of user behavior on the product to understand how the user is using the product and understanding user journey using Plotly and Seaborn, etc.
• Managing the Business Analytics and Data requirements for the shortages pod including initiatives like managing MIS, Pre-sales and Revenue Recovery .[received Stakeholder and ownership quarterly award (Q2-2022)]

• Working on a complete machine learning project to see the necessary dashboards for cohorts using Python Streamlit to deploy on AWS server [received employee of the month award August 2021]
• Implementing Moengage for Web-Push and bringing necessary insights from the user data and understanding the behavior for better engagement.
• RFM Modeling for customer segmentation using clustering techniques like K-means clustering to segment data for Marketing analytics over Recency, Frequency, and Monetary scores.
• Built scrapper for scraping user data for business needs and the business(clients) details for better financing operations using beautiful soup and selenium.

• Handle MIS for cross-department analysis and use analytics for better understanding by building dashboards over Excel and Google Data Studio.
• CLTV Modeling to identify and build Persona for potential customers using clustering and classification models.
• Using Google Analytics and Hotjar, by analyzing potential pitfalls over UX engineering to bring more user interactions over the website (E-commerce) in return convert the given potential view/session to conversion using a data driven model.
• Cohorts for retention rates, return rate, to bring in more value towards CAC costs, to get optimal value from a customer.
• New Products vs Existing Products Analytics to understand cannibalism and protect sales, conserve the Ad cost value over a longer period.

Engineering Analyst with one of the biggest companies in the financial banking domain. Working with several teams to actually proceed with engineering and multimedia requirements of the clients and employees i.e securing relevant ports on bridges according to the type of conference and mitigating the risk of overload and scarcity Apart from this managed several RCA and Disaster management reports for EMEA (Q2- 2019) region for a quarter and APAC (Q3-2019) for another quarter . Used empirical techniques to even out the workload among the onsite and remote technicians working with the hardware requirements like codec, laptops, projector, etc., based on time and location and the tech stack available.