Hemal Vakharia
Director - Gen AI/ML, Data Quality, Data Controls & Governance at Citi
- Role
- Director - Data Quality, Controls & Governance at Citi
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Hemal Vakharia
I am a global technology professional & system architect with extensive experience in the financial services. I manage, build and develop teams and deliver the best-in-class solutions for my clients. Data Quality control, Gen AI/ML based rule assistance and anomalies detection across capital Markets and other lines of business making significant impact to the business. Developing Mobile App using Flutter which includes Image to Text recognition for a medical professional during my free time.Global Management• Effective leadership, strategic direction & influential skills• Large complex Capital Markets programs & Technology Platform Design & Managemento SME of Gen AI, DQ & Controls, OTC & Listed Derivatives, Bonds, FX, Settlementso Strong analytical, problem-solving & planning skillso Regulatory, Compliance & Governance, Operational risk mitigationo Managed multi-billion dollar CLS FX settlements & middle office platformso Global Manager, mentor & adviser working cross platforms, budget & planningSystem/Solutions Architecto Architect several MiFID II F2B & Dodd-Frank with improved STP rate (using Microservices, Kafka/EMS, Docker, In-memory data cache, SQL, in-house & vendor based reporting tools)• Fixed Income, Derivatives & FX - well versed with products life-cycle & all regulationso Architect of FX Data warehouse, FX TriOptima-CAS integrationo Platform Transformation saved (50%)~$1MM YoY operating expenseo Hands-on w/ Settlements, Ledgers, TreasuryTechnology & Protocols• Artificial Intelligence & Machine Learning w/ RNN, Keras, XGBoost (kaggle2007 on kaggle.com)• Testing Automation, DevOpso Data Quality using ML, NetFlix algorithm with ML improved cashflow generation• Python (AI/ML), Kafka / EMS, Kubernetes, Netezza, Snowflake• Java, SQL, Unix, PERL, C++, FitNESS, XML, Hadoop, Tableau, AutoSys, BObjects, Snow, SWIFT, Data warehousing, SDLCSpecialties: Data Science, Regulatory, Automation, Integration, Derivatives, Fixed Income, Settlements, Reconciliations, Invoice, Reference Data, AgileAWS Cloud Practitioner: Core Services> Managed promotions & budgets for 50+ Tech team> FitNess Test automation, SOX Certifier > Android based mobile app on Amazon Market Place> Volunteer w/ Rutgers 4H Science club (6th grd)
Experience
Director - Data Quality, Controls & Governance
Mar 2018 — Present · New York, NY, US
Building robust data quality rules, scalable engine/architect, developing GenAI/ML driven data quality anomaly detection models using Neural Network, Random Forest, and other algos, data chat-bot - across large number of Capital Markets, Commercial Loans, Risk, Balances and Financial data-set.
Education
Indiana State University
MS, Electronis & Com Tech
The Maharaja Sayajirao University of Baroda
BS, Electronics and Communication
IBM
Data Science Methodology
2018 — 2018
Skills
- Fx Options
- Dodd-Frank
- Technical Support
- Business Analysis
- Sybase
- Russia Nsd (Regulatory) Flows
- Capital Markets
- Jira
- Settlement
- Program Management
- Low Latency
- System Architecture
- Sybase Products
- Swift Messaging
- Options
- Requirements Analysis
- Software Development Life Cycle (Sdlc)
- Foreign Exchange
- Fixed Income
- Reference Data
- Trading Systems
- Mifid
- Equity Derivatives
- Credit Derivatives
- Financial Services
- Derivatives
- Middle Office
- Market Data
- Test Automation
- Project Management
- Pmp
- Leadership
- Business Process Improvement
- Commodity
- Interest Rate Derivatives
- Back Office
- Integration
- Foreign Exchange (Fx) Options
- Trading
- Investment Banking
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