Open To Work
PRIYA GOPALAKRISHNAN
Chennai
Summary
Results-driven professional with 8+ years in banking operations (SWIFT payments, complaint analytics, risk & compliance) and recent Advanced Data Science certification from GUVI. Skilled in Python, SQL, ML (XGBoost, CNN), Power BI, and Streamlit — with 5 deployed end-to-end projects. Seeking to leverage domain expertise in financial services and analytical mindset to deliver impactful data solutions in fintech/banking analytics.
Overview
11
11
years of professional experience
1
1
Certification
Work History
Process Advisor – Customer Relations
Barclays Global Shared Services
01.2023 - Current
- Analyze customer complaint data to identify recurring issues, trends, and root causes
- Monitor live queues and resolution metrics to maintain 100% SLA adherence
- Prepare MI reports and performance summaries for decision-making
- Log and categorize complaints from multiple channels for structured tracking
- Support continuous improvement by sharing trend insights with stakeholders
Senior Analyst – Payment Operations (SWIFT)
NatWest Group
01.2018 - 01.2021
- Process and validate high-value SWIFT transactions (MT103, MT202) within regulatory cut-offs
- Perform data validation and exception analysis to reduce manual rework
- Coordinate with risk, client service, and relationship teams for issue resolution
- Create and maintain SOPs and operational documentation
- Prepare daily trackers and monthly MIS reports for audits and reviews
Process Analyst – Corporate & Institutional Banking
NatWest Group
01.2016 - 01.2018
- Conduct KYC checks, data validation, amendments, and quality audits
- Analyze error patterns and implement process improvements
- Handle UK client interactions and resolve data discrepancies
- Participate in team huddles to share quality and performance insights
Process Associate – Centralized Cash Management Services
NatWest Group
01.2015 - 01.2016
- Process transaction data and verify records for timely settlement
- Maintain operational MIS and reconciliation reports
- Track discrepancies and ensure timely resolution
- Generate monthly volume and charge reports for finance teams
Education
Advanced Professional Certification - Data Science
GUVI (Skill India, NSDC)
Chennai12-2025
MBA - HR & Hospitality
MOP Vaishnav College For Women
Chennai, India04-2015
Bachelor of Computer Applications (BCA) -
SRM Arts & Science College
CHENNAI04-2012
Skills
- Languages: Python, SQL
- Libraries: Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Matplotlib/Seaborn
- Tools: Power BI, Streamlit, MySQL, GitHub
- Concepts: Regression & Classification, Model Evaluation (RMSE, MAE, R²), Transfer Learning
Accomplishments
- Star Performer Award
- Golden Ovation (Cash Reward)
- Multiple Spot Ovations
- Recognized for process improvement and risk identification
Certification
- Advanced Professional Certification in Data Science – GUVI (Skill India, NSDC), Dec 2025
- Microsoft Power BI – GUVI, Nov 2025
- Data Visualization Using Python – GUVI, Jul 2025
Timeline
Process Advisor – Customer Relations
Barclays Global Shared Services
01.2023 - Current
Senior Analyst – Payment Operations (SWIFT)
NatWest Group
01.2018 - 01.2021
Process Analyst – Corporate & Institutional Banking
NatWest Group
01.2016 - 01.2018
Process Associate – Centralized Cash Management Services
NatWest Group
01.2015 - 01.2016
Advanced Professional Certification - Data Science
GUVI (Skill India, NSDC)
MBA - HR & Hospitality
MOP Vaishnav College For Women
Bachelor of Computer Applications (BCA) -
SRM Arts & Science College
Projects
Cricsheet Match Data AnalysiS - Python | SQL | MySQL | Power BI
- Built end-to-end analytics pipeline for 10,000+ real-world cricket matches (Test, ODI, T20, IPL) using JSON ingestion and MySQL schema
- Performed Python EDA and developed interactive Power BI dashboards revealing key performance trends and insights
SmartPremium – Insurance Premium Prediction - Python | Scikit-learn | XGBoost | Streamlit
- Engineered and tuned XGBoost model for insurance premium prediction, achieving strong performance (e.g., RMSE ~3000, R² ~0.88) after EDA and feature engineering
- Deployed interactive Streamlit app for real-time predictions, bridging ML to user-friendly fintech application
Fish Species Classification (Deep Learning) - TensorFlow | CNN | Transfer Learning | Streamlit
- Developed fine-tuned VGG16 CNN model for multi-class fish species classification, attaining high accuracy (~95%) via transfer learning and augmentation
- Deployed Streamlit app enabling image upload, instant predictions, and confidence visualization
Placement Eligibility Streamlit Application - Python | MySQL | SQL | Streamlit
- Generated synthetic student dataset with Faker and stored in MySQL for realistic placement analytics
- Built interactive Streamlit dashboard with SQL-powered filters to identify eligible candidates and analyze placement trends
Restaurant Recommendation SystemPython | Scikit-learn | Streamlit
- Implemented content-based recommender using cosine similarity on cleaned restaurant dataset (cuisine, ratings, location)
- Deployed user-friendly Streamlit app delivering personalized recommendations based on input preferences
Work Preference
Job Search Status
Open to workWork Type
Full TimeLocation Preference
RemoteHybridSalary Range
₹85000/yr - ₹200000/yrSOFT SKILLS
- Analytical Thinking & Data-Driven Decision Making
- Risk Identification, Assessment & Mitigation
- KYC/AML Compliance & Due Diligence
- Root Cause Analysis & Process Improvement
- Attention to Detail & Data Accuracy
- Stakeholder Communication & Cross-Functional Collaboration
- Ownership & Proactiveness