Nagaveni Moger

Business Development Executive

Bengaluru, Karnataka, India9 yrs 5 mos experience

Key Highlights

Expert in Python, SQL, and NLP for data-driven solutions.
Proven track record in Fintech and Risk Analytics.
Led multiple successful data science initiatives.

Stackforce AI infers this person is a Fintech Data Science Professional with strong analytics and automation capabilities.

Contact

Skills

Core Skills

Risk AnalyticsData ScienceData AnalysisFintech AnalyticsE-commerce Analytics

Other Skills

Payment ProcessingData MonitoringSubscription OptimizationSQLData Quality AssuranceRoot Cause AnalysisNLPFeature EngineeringText AnalyticsData AutomationPythonRegexETLBusiness IntelligenceDashboarding

About

Results-driven Data Science & Analytics Professional with ~6 years of experience in leveraging structured and unstructured data to solve complex business problems across Fintech, Risk, eCommerce, and IoT domains. Expert in Python, SQL, NLP, feature engineering, and advanced analytics, with a proven track record of delivering scalable, data-driven solutions that optimize operations, enhance decision-making, and drive measurable business impact. Skilled in data collection, cleansing, preprocessing, and visualization, with hands-on experience in Databricks, Snowflake, Airflow, AWS, GCP, Tableau, Power BI, and deploying models via Flask APIs. Adept at building intelligent workflows, automating manual processes, and implementing NLP and machine learning solutions that improve accuracy, efficiency, and customer insights. Proven ability to drive product and risk analytics initiatives, design end-to-end feature generation frameworks, and deliver actionable insights that influence strategy and revenue growth. Recognized for a strong analytical mindset, problem-solving skills, and technical expertise, consistently achieving high-impact results in fast-paced, data-intensive environments. Data Analysis, Data Science, Advanced Analytics, Python, SQL, NLP, Feature Engineering, ETL, Machine Learning, Risk Analytics, Fintech Analytics, Dashboarding, Data Visualization, Data Pipeline, AWS, GCP, Power BI, Tableau, Databricks, Snowflake, Automation, Operational Efficiency, Text Analytics.

Experience

9 yrs 5 mos

Total Experience

2 yrs

Average Tenure

7 mos

Current Experience

Vola finance

Senior Business Analyst

Nov 2025 – Present · 7 mos · Bengaluru, Karnataka, India · On-site

Improved auto-pay subscription conversions through data analysis, payment trigger evaluation, and subscription module optimization, contributing to higher payment success rates.
Performed Braintree card performance analysis to identify the most effective card triggers for subscription billing, generating insights that improved payment authorization success.
Conducted Plaid and Dwolla billing data analysis to identify ACH failure patterns and return rate drivers, helping optimize payment strategies and reduce operational/payment processing costs.
Built subscription retry waterfall and payment recovery analysis, generating insights on renewal failures and enabling strategy recommendations for improving retry success rates.
Performed event-level authentication success and failure analysis across subscription triggers, identifying key drop-off points and enabling data-driven improvements to subscription flow success rates.
Built monthly Plaid disconnect and bank re-authentication analysis reports, performing root cause analysis on spikes to improve bank connectivity reliability and billing continuity.
Designed data monitoring frameworks and anomaly detection reports for subscription triggers, enabling insights generation and strategic revamping of subscription flows for higher success rates.

Data AnalysisPayment ProcessingData MonitoringSubscription OptimizationRisk AnalyticsData Science

Kloud9 llc

Senior Data Analyst

Apr 2025 – Oct 2025 · 6 mos · Bengaluru, Karnataka, India · Hybrid

Worked as a Senior Data Analyst for Nike (via Retail Kloud9), focusing on Workforce Management (WFM) and data quality assurance using Databricks, SQL, and Python. Validated labor timesheet data across raw, cleansed, and curated layers to ensure data accuracy and integrity. Conducted root cause analysis (RCA) on missing data and collaborated with engineering teams to address upstream issues. Led pipeline migration validation from Snowflake to Databricks, performing apple-to-apple comparisons for completeness and quality checks. Built and automated data monitoring frameworks to track pipeline health and data freshness. Partnered with business and engineering teams to enhance dashboard reliability, strengthen operational decision-making, and improve data transparency across Nike’s analytics ecosystem.

SQLData Quality AssuranceRoot Cause AnalysisData MonitoringData AnalysisData Science

Kreditbee

Senior Data Analyst

Jun 2023 – Mar 2025 · 1 yr 9 mos · Bangalore Urban, Karnataka, India · On-site

As a Senior Data Analyst at Krazybee (Finnovation Tech Solutions / KreditBee), I led multiple data science, NLP, and analytics initiatives that improved automation, credit risk evaluation, and customer intelligence across loan, credit card, and wallet ecosystems. My focus was on building scalable frameworks and optimizing data accuracy to enhance decision-making and operational efficiency.
Key Contributions:
🔹 Text Analytics – SMS Parser Optimization:
Led end-to-end enhancement of the SMS Parser using Python, AWS, NLP, and Regex, improving data extraction accuracy by 30–40% and feature quality by 20%. Integrated multiple financial applications (Credit Card, Loan, Insurance, Wallet, UPI) and automated validation processes. Conducted version-wise impact analysis and testing during framework migrations to ensure stability and accuracy.
🔹 Feature Engineering for Risk & Collections:
Developed 1,000+ behavioral features across calls, SMS, WhatsApp, and email to strengthen collection scorecards and allocation models. Designed a bank statement feature generation framework, producing 200+ new features that enhanced risk modeling and credit assessment accuracy.
🔹 NLP – Intelligent Address Matching System:
Built a real-time address matching engine using FuzzyWuzzy, Levenshtein, and Regex to automate KYC verification, cutting operational turnaround time by 40%. Improved address match accuracy and enabled real-time onboarding validation for faster risk evaluation.
Tech Stack: Python, SQL, AWS S3, Athena, NLP, Regex, Git, Excel, Pandas, Fuzzy Matching
Core Skills: Data Analytics | NLP | Python | SQL | AWS | Fintech Analytics | Risk Modeling | Feature Engineering | Data Pipeline | Automation | Text Analytics | Data Quality | Credit Risk | KYC Automation

NLPFeature EngineeringText AnalyticsData AutomationData ScienceFintech Analytics

Myntrafashion

Consultant | Data Analyst

Sep 2021 – May 2023 · 1 yr 8 mos · Bengaluru, Karnataka, India · Hybrid

As a Data Analyst for Myntra (via dhiOmics Analytics Solutions), I supported key business functions such as merchandising, assortment planning, performance tracking, and operations optimization by designing data-driven solutions and delivering insights that improved strategic decisions and efficiency.
Key Contributions:
🔹 Product & Stylecast Analytics:
Performed exploratory analysis on sales, pricing, and customer trends across multiple fashion categories. Created dashboards and reports that tracked KPIs like sales, conversions, and inventory performance at business unit, brand, and article-type levels. Insights helped refine pricing and discount strategies, improving sales efficiency and product visibility.
🔹 Data Warehousing & Aggregation:
Partnered with engineering teams to design and maintain Core Aggregate Data Models, defining metrics, dimensions, and business entities for analytics. Implemented ETL pipelines and data validation checks to ensure accuracy and consistency across dashboards. Optimized SQL and Hive queries, improving data processing speed and reliability for large datasets.
Tech Stack: SQL, Hive, PySpark, Airflow, Pentaho, Tableau, Power BI, Excel, Python (Pandas, NumPy)
Core Skills: Data Analysis | ETL | Data Warehousing | Business Intelligence | Performance Analytics | SQL | Python | Dashboarding | E-commerce Analytics | Process Automation | Stakeholder Management

Data AnalysisETLBusiness IntelligenceDashboardingE-commerce Analytics

Dhiomics analytics solutions

Senior Data Scientist

Sep 2020 – Apr 2023 · 2 yrs 7 mos · Bengaluru, Karnataka, India · On-site

DocumentationSQLPython

Linkez technologies private limited

2 roles

Frontend Developer

Dec 2018 – Sep 2020 · 1 yr 9 mos · Hubli, Karnataka, India

Researching, designing, implementing, managing, refactoring with maintenance software to improve functionality Testing and evaluating new programs. Identifying areas for modification in existing programs and subsequently developing these modifications. Writing and implementing efficient code.
Taking responsibility for estimating, planning, and managing own tasks and reporting on progress

DocumentationCore Java

Test Automation Engineer

Oct 2016 – Dec 2018 · 2 yrs 2 mos · Hubli, Karnataka, India

Worked as a Automation Engineer.
I was responsible for understanding software requirements and preparing test scenarios. Executing tests on software usability. Analyzing test results on software impacts, errors or bugs, and usability. Preparing reports on all aspects related to the software testing carried out and reporting to the development team.
#UI Testing #Selenium #Appium #Functional Testing #Integration Testing

Java