Apr 2022 – Jul 2022 · 3 mos

• ● B2B C360
• Work as a Data Product Manager with Data Analysts, Data Scientists, and Data Engineers
• Train and nurture the team members to enable them to execute the required tasks
• Interface with clients to understand the requirements and manage their expectations
• Translate ambiguous business needs into actionable deliverables and design a long term project roadmap
• Set up the process based on Agile methodology to ensure smooth delivery
• Collaborate with multiple teams within the client organization, client’s agencies, and client vendors to get a deep understanding of data sources (warehouses, lakes, and pipelines), CRM tools, and SaaS platforms
• B2B C360 Data Architecture: Create the PRD (Product Requirement Document) to enhance the customer database by creating a golden profile and increasing the target audience using 1P and 3P prospect data
• Tableau Dashboards: Design Lead Gen dashboard and fixed Email Campaign Performance dashboard
• Multi-Touch Attribution: Deploy First Touch, Last Touch, Linear Based methods and formulate a model to calculate actual revenue generated by marketing campaigns
• Campaign Activation: Create and size retargeting, reactivation, and new audience segments, and determine the targeting strategy based on their propensity
• B2B Customer Analysis - Repeat Customer Analysis, Product based customer profiles, Paid Campaign Effect Period
• Impact: Data Pipelines (from Vertica to GCP) for the retargeting strategy contributed 60% to campaign revenue

Feb 2021 – Apr 2022 · 1 yr 2 mos

• ● B2B e-Comm Analytics
• Successfully laid the foundation along with the CXOs for the first and most significant project of the company
• Lead end to end web analytics projects for B2B eCommerce
• Use regression models and ANOVA to forecast yearly targets for KPIs, such as Traffic, RPV, Sales Form Completions, etc.
• Drive monthly, quarterly, half-yearly, and annual business reviews for various LOBs
• Create monthly eComm performance reports focusing on site engagement, eCommerce influence, and eCommerce purchase summary
• Identify and present critical studies to leadership supporting business growth such as BNPL analysis, Sales Form Completion analysis, Account Registration analysis, Return Traffic analysis, Bot Traffic analysis, etc.
• Analyze the performance of marketing campaigns to share key insights and recommendations to make mid-campaign tweaks and plan for future campaigns
• Supported different LOBs to drive growth through data-driven strategies
• Create and document training modules for Adobe Analytics and DWH implementation
• Mentor junior analysts in adobe analytics and big data analytics
• Impact: eComm Revenue increased to 45x YoY. The estimated effect of eComm Analytics in % contribution is 13%

May 2019 – Feb 2021 · 1 yr 9 mos · Gurgaon, India

• I worked here as a consultant. My job is to recommend solutions to business problems, present insights, and suggests enhancement in the business process by leveraging client data. Following are the project titles I have worked on
• Client (one of the largest card issuers in the world)
• 1. Business Finance Suite – Cross-Sell Opportunity
• Identified overlap among entire customer database across multiple products in Business Finance Suite and determined
• Natural Cross-Sell which is happening (i.e. without any targeted strategies)
• Opportunities for portfolio expansion
• Conducted Risk Segmentation on the entire data based on 100+ parameters to determine segments which could be opened for cross-selling products maintaining profitability and response rates as per expectations
• 2. Enhancing Customer Data Matching Algorithm
• Thoroughly revised one of the most important algorithms to suppress prospects by
• Modifying algorithm to reduce length by 43%, RAM usage by 58%, and runtime by 15%
• Adding new features and resolving output file handling issue by transforming variable values into correct formats
• 3. Salesforce Data Integration
• Merged all the sales tables beginning at leads and terminating at assets to contain complete information under a single dataset. The process consisted of data understanding, comparing similar data from two different sources, recognizing constraints, identifying similar fields, and deciding the merge-flow

Jun 2018 – Apr 2019 · 10 mos · Mumbai, Maharashtra, India

• I worked as a data analyst within the Central Business Intelligence Team of Edelweiss (used to receive/pitch diverse projects from/to various business functions). My job was to analyze data and present insights using dashboarding tools. Please find below the various projects I have worked on
• 1. Rejection Inference: The project aim was to check the performance of rejected applications for the SME Lending unit.\
• 2. DSA (Direct Selling Agents) Profiling: Analyzed data and created a dashboard to present state, city, and date wise drill-down analysis of Brokers performance based on approval rate, the amount disbursed and delinquency rate
• 3. Geo Location Mapping of RMs (Regional Managers): Created a dynamic web application facilitating users to visualize the location of RMs
• 4. Framework to anonymize data for external vendors: Developed script to mask the original numbers of Credit Unit & Bureau to issue to vendors for analysis
• 5. Procurement Analysis: Created an engine which provides continuous insights to executives regarding expenditure data of the entire Edelweiss Group
• 6. Web Application for Effective Data Visualization: Constructed a dynamic web application for REAP (Real Estate Asset Purchasing) unit to facilitate administrators
• a. visualize the projects and agents data
• b. extract and spot agents situated nearby the projects selected
• c. locate and identify opportunities(people interested in property) on Google Maps
• 7. Market Research and Data Extraction: Explored various zero EMI service providers & extracted information of their partner stores along with the product types
• 8. Vendor Selection Workbook: Created a workbook consisting of filters for comma-separated multiple category variables using VBA
• 9.       SEBI (Securities and Exchange Board of India) Survey Analysis: Presented insights regarding investment behavior of people across India
• Skills/Tools Used - Python, R, HTML5, CSS3, JQuery, Power BI, Tableau, MS Excel, GMaps API

Jul 2017 – May 2018 · 10 mos · Mumbai, Maharashtra, India

• STIR (Short Term Interest Rate) Trader
• I used to work as a global derivatives trader in Global Markets Business Unit, trading agreed upon STIR – EURIBOR futures. The role was to take short term trades in outrights, spreads, and fly using graphical skills and market research. Traded on Stellar Trading Systems

Jan 2017 – Mar 2017 · 2 mos · Varanasi, Uttar Pradesh, India

• www.eminencegroupofentertainment.com
• I developed both backend and frontend

May 2016 – Jul 2016 · 2 mos · Udaipur

• TECHNICAL HEAD of the company ZIGSAW
• OBJECTIVE : Managing various Web Development Projects (Both front-end and back-end).
•  LANGUAGES USED: HTML5, CSS3, JQUERY, AJAX, JAVASCRIPT, MySQL, PHP
•  FRAMEWORKS USED: BOOTSTRAP, SKEL, CODEIGNITER
•  APPLICATIONS: WAMP SERVER

Feb 2016 – Mar 2016 · 1 mo · Hyderabad Area, India

• Designed UI of the company's website "preventoz.com" as well as their admin panel using HTML5, CSS3 and JQUERY.

Jan 2016 – Dec 2016 · 11 mos · Varanasi Area, India

• Comparision of evolutionary algorithms for cell formation in Group Technology

Dec 2015 – Dec 2015 · 0 mo · New Delhi Area, India

• Developed JQUERY plugins for form validation, Executed AJAX for optimisation of the website, Surveyed the transportation hub for one week

May 2015 – Jul 2015 · 2 mos · Varanasi Area, India

• Developed front-end and back-end of colzy.com

May 2015 – Jun 2015 · 1 mo · Varanasi Area, India