Summary
Overview
Work History
Education
Skills
Projects
Timeline
Generic

AKHIL VANDANAPU

Jersey city,NJ

Summary

Detail-oriented IT professional with 4 years of experience in job scheduling, monitoring, and creation using tools such as Control-M, Autosys, CA-7, Mainframe, Zeke, and Tidal. Proven ability to manage and disconnect logical cross-connections within multiplexers across various bandwidths. Skilled in layer 1 activities of the OSI model, ensuring seamless operations in network and infrastructure environments. Highly adept at optimizing workflows and troubleshooting issues to maintain high system reliability.

Overview

6
6
years of professional experience
6
6
years of post-secondary education

Work History

IT Contractor

CAO of WNY
10.2024 - Current

Authored a detailed "Security Assessment Protocol" for CAO of WNY, Inc., encompassing Physical Security, IT Security, and Data Privacy. Defined assessment methodologies, identified evaluation criteria for physical access controls, IT assets, and network security, and ensured alignment with privacy regulations such as GDPR and HIPAA. The policy provided a structured framework for comprehensive security assessments.

Technology Analyst

Infosys Ltd.
01.2022 - 07.2022
  • Batch Scheduling Management: Managed and optimized batch job schedules using Control-M, Zeke, and Tidal, ensuring efficient workflow execution and timely completion of critical tasks.
  • Production Support: Provided proactive support for batch job execution, ensuring seamless operations, minimizing disruptions, and resolving incidents in alignment with SLAs.
  • Schedule Modification and Implementation: Designed, created, and implemented batch job schedules across Control-M, Zeke, and Tidal schedulers, aligning workflows with business requirements and minimizing potential conflicts.
  • Process Optimization: Streamlined batch job execution by analyzing performance and ensuring job dependencies were correctly configured, reducing runtime inefficiencies and improving overall system reliability.

Senior Systems Engineer

Infosys Ltd.
01.2021 - 12.2021
  • Incident Management: Proactively managed and resolved batch job failures, minimizing disruptions to critical business processes and ensuring operational continuity.
  • Production Support: Provided Level 2 support for batch processing across multiple scheduling tools, ensuring system reliability and adherence to SLAs.
  • Workflow Optimization: Designed and managed job flows, calendars, and scheduling criteria, reducing scheduling conflicts by 30% and enhancing workflow efficiency.
  • Automation and Dependencies: Configured job dependencies and parameterized Control-M jobs, resulting in a 25% reduction in job runtime and improved task execution.
  • Autosys Expertise: Developed and optimized workflows using Autosys JIL scripting, reducing manual intervention by 40% and increasing process automation.
  • Change Management: Executed additions, modifications, and deletions in batch schedules across Control-M, Autosys, and Mainframe environments, ensuring seamless transitions and minimal downtime.

Systems Engineer

Infosys Ltd.
03.2019 - 12.2021
  • Layer 1 Network Operations: Specialized in disconnecting services across various products with diverse bandwidths by managing logical cross-connections within multiplexers.
  • Expertise in Multiplexing Techniques: Hands-on experience with TDM (Time Division Multiplexing), FDM (Frequency Division Multiplexing), and WDM (Wavelength Division Multiplexing), ensuring efficient network performance and service management.
  • Vendor Collaboration: Worked extensively with transmission devices from industry-leading vendors, including Level 3, Nortel, Pipeline, Broadwing, and Alcatel, ensuring seamless service disconnection and operational integrity.
  • Network Transmission Devices: Gained in-depth knowledge of multiplexers and their role in physical network layers, contributing to the efficient handling of Layer 1 activities within the OSI model.
  • Complex Network Configurations: Managed and streamlined disconnection processes across multi-vendor environments, maintaining network stability and meeting organizational requirements.

System Engineer Trainee

Infosys Ltd.
08.2018 - 01.2019
  • Successfully trained and certified in Python programming, with a focus on core concepts, scripting, and automation, alongside an in-depth understanding of Data Structures and Algorithms for efficient problem-solving and Object-Oriented Programming (OOP) principles such as inheritance, polymorphism, and encapsulation.
  • Acquired practical knowledge of DNS (Domain Name System) and DHCP (Dynamic Host Configuration Protocol), including configurations, troubleshooting, and network service management as part of Linux Administration. Gained hands-on experience with user and group management, file systems, shell scripting, and task automation.
  • Proficient in SQL, focusing on database design, query optimization, and relational database management.
  • Trained in Windows Administration, covering system configurations, user management, and task automation using PowerShell for enhanced operational efficiency.

Education

Masters - computer science

Stevens Institute of Technology
08.2022 - 05.2024

Bachelors - information technology

Vasavi College of Engineering(Osmania University)
09.2014 - 06.2018

Skills

  • Technical Skills :
  • Languages: Python, Core Java, C
  • Tools: Control-M, AutoSys, Tidal, PEGA Tool, Putty, Power Shell, CA-7 Main Frame, Zeke
  • Databases: SQL, PostgreSQL, MySQL
  • IDE's: Eclipse, Jupyter Note book, Pycharm
  • Version Control: Git
  • Other Technologies: Snowflake, Pega Tool Windows administration, Linux administration

Projects

Title: Querying Multiple Features of Groups in Relational Databases
This project addresses challenges in expressing complex aggregate and grouping queries in SQL, proposing an extended SQL syntax to manage these issues efficiently. It introduces a new relational algebra operation for multi-level aggregation and provides a translation from the extended SQL language. The goal is to simplify the representation of queries involving repeated selections, grouping, and aggregation while improving execution efficiency in database systems
Tools: Python

Title: NYC Real Estate Price Prediction Project
Developed a machine learning solution to predict real estate prices in NYC using the Kaggle dataset. Conducted data preprocessing, exploratory data analysis, and implemented various models, including KNN, Decision Trees, Random Forest, XGBoost, and SVC. Applied hyperparameter tuning, feature engineering, and optimization techniques to improve model accuracy. 

Tools & Techniques: Python, Scikit-learn, Pandas, NumPy, Random Forest, XGBoost, SVC.

Timeline

IT Contractor

CAO of WNY
10.2024 - Current

Masters - computer science

Stevens Institute of Technology
08.2022 - 05.2024

Technology Analyst

Infosys Ltd.
01.2022 - 07.2022

Senior Systems Engineer

Infosys Ltd.
01.2021 - 12.2021

Systems Engineer

Infosys Ltd.
03.2019 - 12.2021

System Engineer Trainee

Infosys Ltd.
08.2018 - 01.2019

Bachelors - information technology

Vasavi College of Engineering(Osmania University)
09.2014 - 06.2018
AKHIL VANDANAPU