Analytics Manager

• Jan 2022 - Present

Assistant Analytics Manager

• Oct 2020 - Jan 2022

Data Scientist & Product Owner

• May 2020 - Sep 2020

● Post Purchase● Delivery Experience● Operations Excellence● Finance

Data Scientist - Business Operations

• Jan 2019 - Sep 2020

●Leverage the power of Data Science with R to visualise the Insight from huge Data and helping the Business to Improve Processes and devise business strategies. ●Solving Inventory, Supply Chain and Logistics business problems using Data analysis and ML.●Automating Business and Data requirements by building Dashboards in Qlik Sense, Metabase from various Data Sources (SQL, Mongo Db, SAP Hana)●Resolve Ad-hoc requests from Operations, Inventory and other BUs on the JIRA platform for analytics requests.●RStudio Server, SQL, Mongo Db●Dashboard Reporting: Qlik Sense, Metabase, Exploratory.io, R Markdown, R Shiny, Plotly, ggplot, DT, kableExtra. ●Data Manipulation: Dbplyr, dplyr, tidyr, lubridate, zoo.Projects worked on:●Forecasted Sales for the Factory Outlet Store using Bayesian-based curve fitting method known as Prophet and compared model performance with AUTO.ARIMA using model extension framework in Exploratory.io.●Last Mile Pincode Allocation System for Delivery Logistics using NSGA-II (Non-dominated Sorting Genetic Algorithm).● Integrated a workflow based conversational Chatbot with Database to show real time data and engagement to the end users.● Building Sales Dashboard in Qlik Sense, which helps in detailing all aspects of sales and monitor important metrics like Gross Sales, Net Sales, Contribution Margin, COGS, Logistic Cost, RTO Percentage, Return Percentage and Cancel Percentage. ● Building Inventory Aeging Dashboard in Qlik Sense, which helps in monitoring metrics like Ageing of Inventory SKU/Category/Design/Size/Color wise, Inventory Life Cycle count, Inventory in Days etc. ● Build a R-Shiny panel for "Vendor Payment". A user can store and upload Production Data from SAP and visualise the same via reports in Metabase.

Data Analyst

• Apr 2018 - Jan 2019

● Developing advanced algorithms that solve problems of large dimensional in a computationally efficient and statistically effective manner. ● Implementing statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, patterns and other relevant information. ●Develop reports, dashboards, metadata layers, using Google Data Studio, Power BI and other tools.● Collaborating with stakeholders to effectively integrate and communicate analysis finding. ● Evaluating emerging data-sets and technologies that may contribute to our existing analytical platforms. ● Contributing to the thought leadership of the company by helping in researching the evolving topics and publishing them. ● Work on Google analytics and improve conversions. ● Implement Google Tag manager on website. ● Interpret data, analyse results using statistical techniques and provide ongoing reports by verifying data from Clevertap. ● Work with stakeholders to understand and investigate feedback into the service/function/product/provided ● Produce written documentation to support your work, report on your findings and to present to the stakeholders ● Determine and document user requirements for business process.Projects worked on:● Designing a most appropriate machine learning model to predict probability of new sign upsconverting into active accounts of the app.●Text Mining using NLP to find stage-status phrases for Sales & Support activities entered in CRM remarks.● Mobile App and website funnel optimization using Google Analytics and Google Adwords.● Interpret data, analyze results using statistical techniques and provide ongoing reports by verifying data from CleverTap.● Worked on data cleaning and data validation of the in-house CRM and hence enhancing theirmarketing campaign.● Data driven decision on AMC price revision.

Business Analyst Internship

• Feb 2018 - Apr 2018

●Information gathering to understand their business models and goals and help define strategy, content, and features for design of their web site.●Developing Information Architecture Documentation (site maps, user journeys, navigation models and wire-frames, mock-ups and working prototypes) that serves as a blueprint for both websites and applications upon which other aspects are built.●Acting as the link between the business and Design and Technology team.●Work with stakeholders to understand and investigate feedback into the service/function/product/provided ● Gain agreement, usually from senior management, of the best method of introducing your recommendations to the business ● Produce written documentation to support your work, report on your findings and to present to the stakeholders ● Support the staff and teams in making the recommended changes, including helping to resolve any issues

Technical Support Analyst - Tier II

• Jan 2016 - May 2017

● Assist external/internal users of the client's technical products or services; identify, investigate, research and provide resolution to user questions and problems.● Troubleshoot basic to complex customer issues that are technical in nature; including hardware, software, networking, or other designated client products.● Follow appropriate escalation path to resolve technical issues; including making follow up outbound calls to customers or other parties as needed.● Solve problems that are generally unstructured and require extensive use of conceptual thinking skills● Serve as a resource to other support personnel● Clarify customer requirements; probe for understanding● Prepare complete and accurate work including appropriately notating accounts as required.● Participate in activities designed to improve business performance.