Rahul Kumar

Data Analyst | Business Intelligence | Fintech & Credit Risk Analytics

Talent

raipurMember since July 3, 2026

Pythonpandasscikit-learnmatplotlibseabornPL/SQLSQLPostgreSQLMySQLFeature EngineeringPower BIDAXTableauExcelK-Means ClusteringPCAOcrolusChatGPT

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Pythonpandasscikit-learnmatplotlibseaborn

About

Results-driven Data Analyst with 3+ years of experience delivering data-driven insights, automating workflows, and building BI dashboards for U.S.-based fintech and lending operations. Proficient in Python (pandas, scikit-learn, matplotlib, seaborn), PL/SQL (PostgreSQL, MySQL), Power BI, Tableau, and Excel. Experienced in end-to-end data pipelines — from ingestion and cleaning to analysis, visualization, and stakeholder reporting.

Built predictive analytics models achieving 87% accuracy and automated reporting workflows that cut manual preparation time by 40%. Proven ability to work independently in remote environments with cross-functional U.S. teams. Ideal for remote contract Data Analyst roles requiring strong Python and PL/SQL expertise.

Experience

Business Analyst — Data & Analytics - Dataview General Analytics - Client: TVT Capital (U.S.-Based Lending)

(2022-04 - 2026-03)

Tools: Python, SQL, PL/SQL, Excel, Power BI, Ocrolus, ChatGPT

Wrote and maintained PL/SQL and PostgreSQL queries to extract, transform, and validate lending application data across a high-volume U.S. loan pipeline — supporting underwriting decisions with clean, structured outputs.
Built Python (pandas) automation scripts to process 3-month bank statement data from Ocrolus, extracting cash flow trends and transaction patterns; reduced report generation time by 40% through prompt-engineered ChatGPT workflows.
Designed and maintained Power BI dashboards and Excel reporting templates to monitor loan portfolio KPIs, track approval rate trends, and surface risk indicators across applicant segments.
Evaluated applicant credit profiles using credit scoring software and forward scrub analysis to quantify risk exposure and reduce credit default rates across a multi-analyst pipeline.
Developed a predictive analytics model with 87% accuracy to flag high-risk loan applicants, integrating financial statement data, ownership records, and historical credit indicators.
Collaborated asynchronously with U.S.-based underwriting and operations teams via remote workflows — delivering timely, decision-ready data reports aligned with compliance standards.
Led and coordinated a team of analysts — overseeing task allocation, workload scheduling, and quality reviews to ensure consistent data accuracy and throughput.

Customer Service Executive - Technotask Business Solutions

(2021-04 - 2022-03)

Managed end-to-end customer interactions across voice, email, and chat; maintained 100% data accuracy in CRM tools and consistently met SLA compliance targets.