Aman Bhagat

Business Development Executive

Noida, Uttar Pradesh, India3 yrs 11 mos experience

Most Likely To Switch

Key Highlights

Reduced user rejection rates by 50%
Increased conversions by 100%
Streamlined targeting initiatives to cut costs by 50%

Stackforce AI infers this person is a Data Analyst with strong expertise in Fintech analytics and risk management.

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Skills

Core Skills

Data AnalyticsBusiness AnalysisCredit Risk Management

Other Skills

Data WranglingBusinessQuery WritingSQLData AnalysisRisk AnalysisMachine LearningPython (Programming Language)Business Intelligence (BI)Critical ThinkingStrategy ImplementationRisk AnalyticsGap AnalysisOptimizationA/B Testing

About

Passionate software engineer transitioning to the world of data science and analytics. My role as a data and business Analyst has opened my eyes to the power of analytics in solving complex problems. Skilled in SQL, Excel, Python, Power BI, and familiar with ML and data science concepts. Eager to explore this field across diverse domains. I'm passionate about using data to solve complex business problems and drive operational efficiency. Through strategic analysis and innovative solutions, I've consistently achieved significant results, like reducing user rejection rates by 50%, increasing conversions by 100%, and streamlining targetting initiatives to cut costs by 50%. From uncovering hidden insights in million-row datasets to developing game-changing fraud detection systems, my journey has led me to significantly improve user targeting, boost conversions, and optimize business processes, driving cost reductions and enhanced customer experiences. I'm a passionate analyst who thrives on turning data into actionable solutions and excited to continue pushing boundaries and connect with those who share my passion for data-driven growth.

Experience

3 yrs 11 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 5 mos

Current Experience

Swiggy

Business Analyst

Jan 2025 – Present · 1 yr 5 mos

Uber

Data Analyst (External)

Feb 2024 – Jan 2025 · 11 mos

Data WranglingBusinessData Analytics

Indialends

2 roles

Risk Analyst

Promoted

Jan 2023 – Jan 2024 · 1 yr · Gurugram, Haryana, India · On-site

Executed complex SQL queries to extract eligible users from a million-rows dataset thereby
reducing overall rejection by 50 % and communication costs by more than 80%.
Spearheaded the reverse engineering process for the risk policies to figure out hidden conditions to
find out the high MEU (Monthly Eligible Users) segment thereby increasing conversion by 50 % .
Performed RCAs to investigate bottlenecks in the business process and suggested hypotheses for
experiments to enhance process efficiency and customer targeting.
Developed ML models to predict propensity and risk which streamlined user targeting and
reduced bureau pulling, costs by more than 50%.
Developed and implemented fraud checks, significantly improving the ability to identify and
prevent fraudulent user activities during the process. Achieved a significant reduction in fraudulent
incidents.

Data WranglingQuery WritingData Analytics

Junior Risk Analyst

May 2022 – Dec 2022 · 7 mos · Gurugram, Haryana, India · On-site

Handled credit card operations like monthly statement generation at the backend.Validating Fraud Checks and tracking of Risk metrics like Roll Rate Metrics for all the users.
Executed complex SQL queries to extract eligible users from a million-rows dataset thereby
reducing overall rejection by 50 % and communication costs by more than 80%.

Python (Programming Language)Credit Risk Management