Parul Joshi
Data Analyst with 4+ years of experience across analytics, financial operations, fraud risk analysis, and data-driven decision making. Skilled in SQL, Python, statistical analysis, A/B testing, KPI development, root cause analysis, and dashboarding. Experienced in analyzing large datasets, identifying fraud signals, performing user behavior analysis, and delivering actionable insights that drive measurable business impact.
Hire this person
Send a job offer directly to this candidate
About
Data Analyst with 4+ years of experience across analytics, financial operations, fraud risk analysis, and data-driven decision making. Skilled in SQL, Python, statistical analysis, A/B testing, KPI development, root cause analysis, and dashboarding. Experienced in analyzing large datasets, identifying fraud signals, performing user behavior analysis, and delivering actionable insights that drive measurable business impact.
Experience
Data Analyst - I (Activation) at Jar (2024-04 – Present)
- Analyzed large transactional datasets using SQL and Python (Pandas, Numpy) to identify fraud patterns across transaction, KYC, device and behavioral data and performed EDA for insight generation.
- Built a risk-based fraud scoring framework (0-1 probability) with data validation and threshold optimization, enabling early fraud detection and improved decision making and were able to successfully identify 3 confirmed fraudulent cases, improving process efficiency.
- Conducted an A/B test on M0 users with failed renewals to evaluate optimal Double Pre-Notification (DPN) timing (10 vs. 30 days), achieving a 2% increase in retention rate.
- Performed data analysis using SQL and Python to measure retention metrics, validate statistical significance, and visualize user behavior trends.
- Designed and implemented quality monitoring systems to maintain 24/7 service uptime without human intervention, reducing reporting time by 25% and enhancing data visualization portfolio for leadership
- Created wealth score for thin file - new users using alternate data to determine their affluence for dynamic pricing for autopay setup. Increased coverage of the user base by 27%
- Designed and maintained Power BI dashboards for fraud, retention, and operational KPIs using optimized SQL queries.
Deduction Analyst at Genpact (2019-07 – 2021-07)
- Managed and analyzed daily financial portfolios for 30 clients, ensuring 100% accuracy in financial reporting.
- Utilized SQL to extract client financial data and Power BI for graphical representations.
- Identified incorrect deductions and worked with teams to recover missing amounts, reducing revenue loss
Education
MSc in Data Science – Christ (Deemed to be) University (2021 – 2023)
Bachelors in Commerce (BCom Hons) – Amity University (2016 – 2019)
