Parvathy AJ

Coordinated the completion of change request activities from start to finish. Led project go-live release events, ensuring site readiness, support, and communication.
Negotiated, planned, and managed all software and hardware release activities. Planned and managed release windows across the system. Served as the primary point of contact for customers in coordinating release events.
Ensured that application releases were delivered on schedule and exceeded quality expectations.
Managed and resolved all issues involving risks to release events, preventing schedule delays.
Produced implementation plans, weekly management reports, and metrics. Communicated release details and schedules to peers and business partners. Conducted weekly walkthroughs of events with business partners prior to implementation. Performed complex problem-solving and root cause analysis to ensure timely resolution. Conducted release readiness reviews. Led continuous improvement efforts for change management and release processes.

Key qualifications:

Extensive experience in change/release and project management.
More than 2 years of experience in IS operations, systems analysis, and development.
Strong understanding of network infrastructure.
Advanced knowledge of the software development lifecycle (SDLC).
Proven ability to coordinate multiple teams effectively toward task completion.
Skilled in managing multiple projects simultaneously and designing creative solutions to complex problems.
Strong analytical and leadership capabilities.
Excellent verbal and written communication skills.

Proactively managed stakeholder expectations throughout the release cycle by providing timely updates on progress and addressing concerns promptly.

Collaborated with team to create ELT pipelines in Azure Data

Factory, streamlining data processing and transformation

workflows for improved efficiency.

Utilized Azure data technologies to store, clean, and transform

data, ensuring data quality and usability for downstream analytics and reporting.

Leveraged Databricks with Pyspark and SparkSQL to extract, load, and transform data from diverse sources, optimizing performance and scalability for large-scale data processing.

Designed and implemented triggered and continuous pipelines, automating data ingestion and processing tasks to support real time analytics and decision-making.

Developed reports and dashboards using PowerBI, visualizing key performance metrics and trends to facilitate data-driven decision making processes.

Attended training courses to build understanding of processes, techniques, and industry

Adhered to corporate data confidentiality rules, mitigating breaches

Completed an internship focused on machine learning and deep learning, gaining practical experience in developing and

implementing machine learning models for real-world applications.

Led a project on Sign Language Recognition using Conventional Neural Networks (CNN), leveraging TensorFlow and image processing techniques to recognize and interpret sign language gestures.

Applied supervised learning techniques to train the CNN model,utilizing labeled datasets to classify sign language gestures accurately.

Conducted extensive data analysis to preprocess and augment the dataset, optimizing model performance and generalization

capabilities.

Designed and implemented use case scenarios on AWS platform, leveraging services such as S3, CloudWatch, and RDS to address specific business requirements.

Collaborated with team members to analyze use case requirements, develop solution architectures, and implement best practices for cloud-based deployments.

Utilized CloudWatch for monitoring and logging, ensuring optimal performance and reliability of AWS resources across multiple use cases.

Documented use case implementations, including architecture diagrams, configurations, and deployment procedures, to facilitate knowledge sharing and future reference.

Improving customer service, educating clients about technical changes while building and maintaining relationships.

Planning and prioritization

Problem solving and decision making.

Liaising with third party client to ensure prompt resolution to problems while keeping users updated of progress

Supervising and mentoring colleagues and volunteers

Resolving client's issues via telephone, e-mails and web interfaces

Networking and installing printer.

Troubleshooting hardware and software desktop problems.

Configuring user profiles and modifying restrictions.

Troubleshooting and configuring RSA to users.

Configuring access to Citrix application on server.

Troubleshooting Microsoft Outlook, Teams, Skype issues.