About
Highly detail-oriented Data Analyst with hands-on experience in SQL, Python, and Power BI, specializing in data cleaning, reporting automation, and advanced business performance analysis. Proven track record of developing scalable dashboards and delivering actionable insights, with a focus on customer segmentation, recovery analytics, and financial operations to drive efficiency and data-driven decisions in the fintech sector.
Work
Gurugram, Haryana, India
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Summary
As a Data Analyst at CredResolve Pvt. Ltd., Saloni Kumari drives data-driven decision-making and operational efficiency by analyzing NBFC portfolios, building automated dashboards, and delivering actionable recovery insights to cross-functional teams.
Highlights
Led the analysis of 10+ NBFC portfolios, encompassing over 100,000 borrower records using SQL and Python, to generate critical recovery insights.
Developed and deployed automated dashboards with SQL and Power BI, saving 10+ hours weekly in manual reporting and empowering real-time, data-driven decision-making.
Identified key drivers of loan defaults through in-depth cohort and trend analysis of EMI behavior, DPD status, and collection patterns.
Delivered actionable recovery insights to 1,000+ agents and managers via Jatayu (internal fintech mobile app), enhancing operational efficiency and strategic decision support.
Collaborated with cross-functional field operations and risk teams to optimize targeting strategies, achieving a 12% increase in contact-to-collection efficiency.
Languages
English
Skills
Programming Languages
Python, SQL.
Python Libraries
Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, BeautifulSoup, Requests.
SQL Databases & Concepts
MySQL, PostgreSQL, Joins, Subqueries, CTEs, Window Functions.
Data Analysis
EDA (Exploratory Data Analysis), Data Wrangling, Feature Engineering, KPI Tracking, Reporting.
Machine Learning
Regression, Classification, Tree-based Models, Scikit-learn.
Data Visualization
Power BI, Streamlit, Looker Studio, Excel Dashboards.
Tools & Software
Excel (VLOOKUP, Pivot Tables), Google Sheets, Git, Jupyter, VS Code.