Rupika Gupta Email & Phone Number
Who is Rupika Gupta? Overview
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Rupika Gupta is listed as Senior Business Analyst at EXL, a with 39170 employees, based in Gurugram, Haryana, India. AeroLeads shows a matched LinkedIn profile for Rupika Gupta.
Rupika Gupta previously worked as Lead Data Analyst at Decisiontree Analytics & Services and Senior Business Analyst at Pharmeasy. Rupika Gupta holds Bachelor Of Technology (B.Tech.), Computer Science from Abes Engineering College.
Email format at EXL
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About Rupika Gupta
• A seasoned analyst with a 7+ yrs experience in Lending (Credit Card), healthcare, manufacturing & retail domains.• Have a deep experience in collaborating with various teams to facilitate product lifecycle and get the deliverables done within deadline.• Experienced in Stakeholder & Team Mgmt., roadmap creation, strategy building, business analysis & market research.• Strong communication & interpersonal skills.• Hands on experience in writing complex SQL, Python codes & data visualization.𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗦𝗸𝗶𝗹𝗹𝘀: Communication, Customer understanding, Coordination, Problem Solving, Strategy, Roadmap creation, Market research, Requirement gathering and analysis𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: SQL, Python, Microsoft Office, Tableau, Power BI, Google Data Studio, Airflow, JIRA, Service Desk
Listed skills include Core Java, Algorithm Design, Algorithm Analysis, Operating Systems, and 15 others.
Rupika Gupta's current company
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Rupika Gupta work experience
A career timeline built from the work history available for this profile.
Lead Data Analyst
Senior Business Analyst
• Building roadmaps for the accounts analytics team, ensuring meeting of deadlines by the team andstakeholder management.• Usage of epics/user stories in JIRA tool so as to ensure quality deliverables to the users.• Managed a team of data analysts. Responsible for code reviews, mentoring and guiding them.• Retailer Payout Report: Updation and maintenance of the retailer payout report responsible for all thepayouts to all the retailers associated with PharmEasy.• Backdated Updates: Application of backdated updates on 40+ reports so that backdated updates could beprevented and the integrity of the data could be maintained.• DQ Checks: Application of a framework to check and data sanity and data sync between live databaseand derived database, to maintain the Data Quality of the reports.• Automating and maintaining financial reports for all the retailers tagged with Pharmeasy using Python,SQL and Airflow.
Team Lead (Business Analyst)
LENDING (CREDIT CARD BUSINESS):-- Planning and executing acquisition campaigns based on 30mn audience and study which includes spend pattern and analysis.-- Created Google Data Studio Dashboards for CC spends and applications.-- Created and used Python scripts for various tasks in my work.-- Created GDS dashboard for MIS to track card applications, issued card spends, approval rate and MCC distribution, using BigQuery.-- Analysing and creating optimised segments to target in the campaigns to give maximized CTRs basis user’s spends patterns and interests.-- Carried out the whitelisting process for CC business.-- Being a point of contact for the stakeholders, carried out requirement analysis and project management work.PAYTM WALLETS:-- Planning and executing activation (for dormant wallets) and spends campaigns based on wallet load data of the audience (100 Mn & above) and study which includes spend pattern and analysis.-- Analysing and creating optimised segments to target audience based on the different pay modes (UPI, Net Banking, Debit Card, Credit Card etc. load, and merchant wise split (3P, Onus, Offline, P2P, P2B)-- To check and analyse the money load trend on the basis of geographical locations, and on customer segments like load decile, transaction decile, payment mode and category wise spends.
Business Intelligence Analyst
-- Research on the trends of KPIs of the projects, Spend Analysis of the company using visualising tools like PowerBI.
Sql Developer
-- Developed SQL scripts for the various apple products being added to the company’s inventory.
Data Analyst
-- Backtracking and analysing the database errors by writing SQL scripts and correcting them. Worked on projects in Agile and Waterfall methodology.
Colleagues at EXL
Other employees you can reach at exlservice.com. View company contacts for 39170 employees →
Himakshi Rawal
Colleague at ExlDelhi, India
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SS
Shreyansh Singh
Colleague at ExlNew York City Metropolitan Area, United States
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PS
Pallavi Singh
Colleague at ExlGurugram, Haryana, India
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RK
Rupinder Kaur Sidhu
Colleague at ExlDelhi, India
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S.
Suman .
Colleague at ExlPune, Maharashtra, India
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JP
Jean Plaza
Colleague at ExlMetro Manila, National Capital Region, Philippines
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BK
Burzin Khambatta
Colleague at ExlMumbai, Maharashtra, India
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AS
Antonio Samson
Colleague at ExlMetro Manila, Philippines
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PI
Prerna I.
Colleague at ExlGurugram, Haryana, India
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MS
Megha Satija
Colleague at ExlFaridabad, Haryana, India
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Rupika Gupta education
Frequently asked questions about Rupika Gupta
Quick answers generated from the profile data available on this page.
What company does Rupika Gupta work for?
Rupika Gupta works for EXL.
What is Rupika Gupta's role at EXL?
Rupika Gupta is listed as Senior Business Analyst at EXL.
Where is Rupika Gupta based?
Rupika Gupta is based in Gurugram, Haryana, India while working with EXL.
What companies has Rupika Gupta worked for?
Rupika Gupta has worked for Exl, Decisiontree Analytics & Services, Pharmeasy, Paytm, and Tata Consultancy Services.
Who are Rupika Gupta's colleagues at EXL?
Rupika Gupta's colleagues at EXL include Himakshi Rawal, Shreyansh Singh, Pallavi Singh, Rupinder Kaur Sidhu, and Suman ..
How can I contact Rupika Gupta?
You can use AeroLeads to view verified contact signals for Rupika Gupta at EXL, including work email, phone, and LinkedIn data when available.
What schools did Rupika Gupta attend?
Rupika Gupta holds Bachelor Of Technology (B.Tech.), Computer Science from Abes Engineering College.
What skills is Rupika Gupta known for?
Rupika Gupta is listed with skills including Core Java, Algorithm Design, Algorithm Analysis, Operating Systems, Data Structures, Computer Networking, Software Engineering, and Java.
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