Anagha Jadhav

Anagha Jadhav - |-| www.linkedin.com/in/anagha-jadhav- EDUCATION National Institute of Technology, Goa, India M.Tech Computer Science and Engineering Rajarambapu Institute of Technology, Islampur, India B.Tech Computer Engineering Aug 2022-July 2024 CGPA 9.05 Aug 2016 - Sept 2020 CGPA 7.93 TECHNICAL SKILLS Programming Languages and Framework: Python, SQL, Pyspark, C, HTML, Java, Flask, Excel Software/Tools: Microsoft Office, Intellij, Android Studio, Pycharm EXPERIENCE Pyspark Developer| Tata Consultancy Services July 2024 - Present  Developed and optimized scalable ETL pipelines using PySpark to process and transform large datasets, ensuring efficient data workflows in a distributed environment.  Designed data validation scripts in Python to detect duplicates, missing values, and anomalies in datasets.  Integrated PySpark jobs with Azure cloud storage, optimizing data ingestion and retrieval efficiency GPU Software Development Intern| Intel July 2023 - June 2024  Implemented new functionalities for Display Flip features using Python, contributing to the enhancement of system capabilities.  Developed test cases to validate GFX Display Driver on Intel's Client Platform : Used GTA automation and python to create test cases for single eDP/DP display configuration.  Created JSON-based test cases to validate and clean log data, ensuring compliance with test scenarios Software Engineer| Tata Consultancy Services Jan 2021 - July 2022  Developed robust data extraction functions to gather real- time and historical financial data from a leading financial institution's official sources, enabling accurate analysis. Technology used: Apache Spark SQL  Collaborated with team members to understand business requirements, translating them into efficient solutions.  Participated in collaborative debugging sessions, actively contributing to issue resolution, and played a vital role in the successful execution of production releases.  Identified and resolved data integrity issues, ensuring accurate reporting and analytics. PROJECTS Task Allocation Strategies in Fog Computing | M.Tech Course Thesis July 2023 - July 2024 Designed a frameworkusing Python to compare and implement task scheduling algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Multi-Agent Systems, and the Firefly Algorithm.  Evaluated the performance of these algorithms in a fog network, optimizing resource allocation and minimizing latency for real-time, delay-sensitive application.  Demonstrated through experimental results that PSO consistently outperformed other algorithms, achieving higher task distribution efficiency, better latency reduction, and optimal resource utilization. IOT based Smart Attendance System For Campus | B.Tech Course Thesis Jan 2020 - Oct 2020  Developed a portable IoT-based device to automate attendance tracking and ensure real-time synchronization with campus systems.  Reduced manual errors and administrative overhead by 25%, enhancing operational efficiency.  Collaborated with faculty and administration to gather requirements and ensure smooth implementation.  PUBLICATIONS Anagha Jadhav and S. Mini, "Algorithms for Task Allocation in Fog Computing," in Proceedings of 2nd World Conference on Communication & Computing (WCONF), RAIPUR, India, 2024. CERTIFICATES Microsoft Azure Fundamental AZ-900 Certification Credential ID : I- Introduction to Generative AI Google Feb 2022 - Present Dec 2024 - Present