Amith Ganga
Bengaluru
Summary
Experienced Data Analyst with 5+ years in data management and process optimization. Skilled in SQL, Python, and Tableau, with a strong record of improving data quality and streamlining operations. Proven ability to deliver impactful data assets and drive process improvements for data-driven decision-making
Overview
6
6
years of professional experience
Work History
Data Operations Manager
Fi Money
Bengaluru
08.2022 - Current
- Risk Mitigation Initiatives: Identified risky merchants (shell companies), detecting over 300 bad actors, and leading to the blocking of over 2,000 customer accounts in Q2 FY24.
- Smart Parser Development: Developed a regex-based smart parser template to extract financial data fields (e.g., IFSC, VPA, account number, transaction remarks) from bank statements. Deployed this as part of the app's Connected Account feature, with high precision rates: HDFC (92%), Kotak (93%), and Bank of Baroda (90%).
- Data Assets Development: Curated key data assets, such as the Merchant Database with over 9,000 merchants added to it, along with logos and display categories. Monthly Active Users of 20,000 are interacting with the feature.
- AI-Driven Quality Assurance: Utilized GPT-4 (LLM) through LangChain to analyze transaction monitoring case notes, ensuring consistency between analyst actions and documentation, resulting in a 70% reduction in quality errors.
- Market Research: Performed monthly market analysis of fintech companies to monitor UPI spending trends, track new product launches, and analyze debit/credit card spending data issued by the RBI.
- Operational Dashboards & Compliance: Created and implemented Tableau dashboards to monitor key KPIs, including agent speed, quality, and utilization in transaction monitoring and onboarding queues.
- Tools and Technologies: Automated manual reporting processes within operations, reducing manual effort by over 80% using Python, and developing dashboards to replace traditional reports.
Insights Analyst
Accenture
Bengaluru
11.2018 - 08.2022
- Leveraged SQL and Python (Pandas) to analyze order, invoicing, and return data, identifying key drivers of product returns. Delivered actionable insights that reduced returns by 60%, saving $43M for the client, Medtronic.
- Utilized Python (fuzzy matching) to identify and eliminate over 750 duplicate accounts in the Chart of Accounts, streamlining financial operations for the client, Coca-Cola.
- Designed dashboards to analyze accounts payable data, uncovering early payment trends, and providing insights that increased working capital by $107M for the client, Caterpillar.
- Automated the categorization of over 10,000 weekly customer feedback comments using natural language processing techniques, reducing manual review time by 80%.
Education
Post Graduate - Business Analytics & Data Science
Great Learning at Online
12.2021
BBM - Banking
Manipal University at Manipal
03.2012
Skills
- SQL
- Python
- Tableau
- Snowflake
- Github
- AWS S3, Glue
- Jenkins
- REGEX
- Data Integration
- Data collection management
Timeline
Data Operations Manager
Fi Money
08.2022 - Current
Insights Analyst
Accenture
11.2018 - 08.2022
Post Graduate - Business Analytics & Data Science
Great Learning at Online
BBM - Banking
Manipal University at Manipal
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