Narendra Sharma

Operations Associate

Gurgaon, Haryana, India6 yrs 5 mos experience

Highly Stable

Key Highlights

6.5 years of experience in data analytics and SAS programming.
Expertise in fraud detection and campaign analysis.
Proficient in data visualization and reporting.

Stackforce AI infers this person is a Data Analytics professional with a strong focus on Fintech and fraud analysis.

Contact

narendrasharma759@gmail.com LinkedIn

Skills

Core Skills

Sas ProgrammingData AnalysisFraud Analysis

Other Skills

Analytical SkillsBusiness AnalysisData CleansingData ManipulationData ProfilingData ValidationData VisualizationFinancial AnalysisFraud DetectionMicrosoft Power BIReporting & AnalysisSAS (Programming Language)SAS BaseSAS Enterprise GuideSAS FUNCTIONS

About

A result oriented Data analytics professional with overall experience of 6.5 years as a SAS Programmer with Wipro in the area of Banking Domain, data visualization, data validation, data profiling , cleansing .

Experience

Wipro

Analyst programmer

Jun 2022 – Sep 2023 · 1 yr 3 mos · Gurugram, Haryana, India · Hybrid

Extracted, cleaned, and prepared large customer datasets from multiple sources using SAS (Base, SQL,
Macros) for campaign targeting and analysis.
Built response and propensity models to predict likelihood of customer engagement, improving targeting efficiency.
Performed pre- and post-campaign analysis to measure KPIs: response rate, conversion, uplift, incremental revenue, and ROI.
Partnered with marketing teams to evaluate campaign effectiveness and recommend improvements for future campaigns.
Ensured data quality and compliance with customer privacy and regulatory requirements in all campaign
processes.

SAS (Programming Language)SQLData ValidationData ProfilingData CleansingData Visualization+3

Dxc technology

SAS Developer

Feb 2017 – Apr 2022 · 5 yrs 2 mos · Gurugram, Haryana, India · On-site

Understanding of the UK & Global Fraud landscape to drive initiatives around the Card Transactions Fraud.
Build Fraud mitigation rules based on current fraud trends across UK brands and products, so that future
fraud losses can be minimized.
Manage the ongoing monitoring of the fraud detection systems to ensure that they are performing optimally and in line with appetite & manage flash fraud attacks.
Interpret and manipulate large data sets to extract trend and identify issues and risk.
Work with Fraud management systems in analyzing and
deploying rules/ strategies for fraud mitigation.
Develop and implement routines to Work closely with the operational teams to ensure that any fraud alerts generated have an appropriate treatment strategy dependent upon the risk identified.

SAS (Programming Language)Fraud DetectionData AnalysisData ManipulationFraud Analysis