Srinidhi Seshan
Summary
IT analyst with extensive experience in ETL and data engineering, focusing on data integration, warehousing, and production support. Proven ability to develop and manage ETL workflows using Informatica PowerCenter and IICS, alongside strong database management skills in Oracle and MySQL. Expertise in issue resolution and incident management utilizing ServiceNow, Jira, Dynatrace, and Autosys. Proficient in Python for data reconciliation and machine learning applications, with a commitment to enhancing operational efficiency through advanced technologies.
Overview
10
10
years of professional experience
1
1
Certification
Work History
IT Analyst
Tata Consultancy Services (TCS)
09.2019 - Current
- Worked as Subject Matter Expert (SME) for 3+ enterprise applications in ETL domain.
- Developed and supported ETL workflows using Informatica PowerCenter and IICS.
- Managed data integration processes and production support activities.
- Performed issue analysis, troubleshooting, and root cause identification for critical production incidents.
- Worked extensively with MySQL Server for data validation and reporting.
- Used ServiceNow and JIRA for incident, problem, and change management.
- Monitored application performance using Dynatrace and Mainframe.
- performed data reconcilations using python
- Coordinated with cross-functional teams and business stakeholders for successful issue resolution.
- Technologies Used: Informatica PowerCenter, IICS, MySQL, JIRA, ServiceNow, Dynatrace,Mainframe
Developer
CITI Bank
chennai, India
01.2016 - 01.2019
- Assisted in development of reconciliation tools for banking applications.
- Supported creation of PL/SQL procedures, packages, and database scripts.
- Helped manage batch scheduling and automation using Autosys.
- Provided maintenance and support for Oracle databases.
- Contributed to Talend to Ab Initio server migration independently.
- Aided in developing standard procedures for software testing and validation.
- Collaborated with business and technical teams for requirement gathering and implementation.
Education
MBA - HR & Finance
B.Sc - Information Technology
Skills
- ETL and data engineering
- Data integration and warehousing
- Issue resolution and production support
- Informatica PowerCenter and IICS
- Database management and query languages
- Oracle and MySQL
- PL/SQL and SQL
- Scheduling and monitoring tools
- Autosys and Dynatrace
- ServiceNow and Jira
- Programming and AI/ML
- Python and machine learning
- Natural language processing (NLP)
- Sentiment analysis and predictive analytics
- Clustering techniques with Pandas
- Hugging Face Transformers
- Incident management and root cause analysis
- Stakeholder management and team collaboration
Certification
AI & Machine Learning Engineer Certification
Accomplishments
- Received multiple Star of the Month and On-the-Spot Awards for outstanding performance, timely issue resolution, and consistent contribution to project deliverables.
- Honored with the Xcelerate Warrior Award for demonstrating commitment, accountability, and excellence in project execution.
- Awarded the Continuous Feedback Star Award for actively contributing process improvement ideas, driving continuous improvement initiatives, and serving as a role model within the team.
- Recognized as Best SME of the Quarter for exceptional support, domain expertise, stakeholder collaboration, and ownership across multiple enterprise applications.
Custom Section
- AI Agentic YouTube Comment Sentiment Analysis & SQL Reporting System, Developed an AI-driven sentiment analysis pipeline using Python, Hugging Face Transformers, and YouTube Data API., Automated extraction, preprocessing, classification, and SQL-based reporting of YouTube comments., Generated actionable sentiment insights using NLP techniques., Integrated agentic AI workflow automation using smolagents framework., Python, Transformers, SQL, SQLite, Pandas, NLP
- Fitbit Calorie Burn Prediction & Workout Pattern Clustering, Developed machine learning models to predict calorie burn using Fitbit data., Applied KMeans clustering to identify workout behavior patterns., Performed data preprocessing, exploratory data analysis, and model evaluation using R² score., Python, Scikit-learn, Pandas, Machine Learning
Websites, Portfolios and Profiles
- https://www.linkedin.com/in/srinidhi-seshan-4a8195b1/
- https://github.com/shrinisesh-1906
Timeline
IT Analyst
Tata Consultancy Services (TCS)
09.2019 - Current
Developer
CITI Bank
01.2016 - 01.2019