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MANYA MEGHARAJ

Hi, My name is MANYA MEGHARAJ

Master’s student in Data Science with practical experience as an Application Developer delivering real-world solutions.

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About Me

Get to know me!

Motivated and results-driven Software Engineer with a strong foundation in Electronics and Communication Engineering and prior industry experience at Accenture. Known for strong problem-solving abilities, adaptability, and a commitment to delivering high-quality solutions in collaborative, fast-paced environments.

Currently pursuing a Master's in Data Science at the University of Europe, I am driven by continuous learning and a strong desire to contribute to organizational success through innovation, analytical thinking, and a positive, growth-oriented mindset.

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My Skills

Programming Skills

Java
Python
C#

Web Development

HTML
CSS
JavaScript
Angular

Database Skills

MySQL
PostgreSQL
Supabase

Data Analytical Skills

Data Analysis
Excel
Power BI
Machine Learning

Software Tools

Git
JIRA
Confluence
Visual Studio
Postman
Apache Kafka (Base)
Azure Data Explorer (ADX)
Elastic Search
Dynatrace

Work Experience

Custom Software Engineering Analyst

01/03/2024 – 16/03/2025

Accenture | Bangalore, India

Project: McDonald's

  • Worked on frontend development using Angular to build and enhance audit-related web pages for enterprise applications.
  • Developed responsive and user-friendly UI components, ensuring smooth interaction and usability.
  • Integrated frontend components with backend services through REST APIs to enable seamless data flow.
  • Collaborated closely with product owners, backend teams, and QA in Agile environments to deliver high-quality solutions aligned with business requirements.
  • Supported application maintenance and enhancements, ensuring stability and consistent performance.

Application Development Associate

24/12/2021 – 28/02/2024

Accenture | Bangalore, India

Project: Canadian National Railways

  • Worked as a backend developer on distributed systems using Java and Spring Boot, building and enhancing scalable microservices.
  • Implemented Apache Kafka for real-time data streaming and asynchronous communication between microservices.
  • Developed REST APIs to support seamless integration with frontend applications.
  • Conducted root cause analysis (RCA) and resolved critical production issues, ensuring high system availability.
  • Monitored and optimized application performance using Azure Data Explorer (ADX), Elastic Search, and Dynatrace.

Graduate Apprenticeship Trainee

01/08/2021 – 20/12/2021

Qspiders | Bangalore, India

  • Performed web and mobile application testing using Selenium and Appium.
  • Worked with Oracle DB for SQL-based CRUD operations.
  • Designed and executed test cases following the STLC, tracking defects using JIRA.

Trainee

27/06/2020 – 27/07/2020

VI Solutions | Bangalore, India

  • Used LabVIEW for sensor data preprocessing and IoT-based data acquisition.
  • Built dashboards to visualize data and machine learning outputs.

Projects

Software Screenshot

Supply Chain Analytics – Just-In-Time Company

A data analytics project focused on evaluating sales performance, inventory efficiency, and shipment reliability in a JIT supply chain environment. Uses Python with Pandas and NumPy for data cleaning, preprocessing, feature engineering, and exploratory data analysis. Applied ABC–XYZ inventory segmentation to prioritize products based on revenue contribution and demand variability. Visualized using Power BI with interactive dashboards for key performance indicators, inventory risks, and shipping performance. Demonstrates descriptive and diagnostic analytics for data-driven decision-making in supply chain management.

Software Screenshot

AI Agent for Email Task Extraction

This project showcases an AI‑powered system that automatically extracts actionable tasks from incoming emails and delivers them instantly to the user’s WhatsApp. By leveraging advanced natural language processing, the solution identifies deadlines, follow‑ups, approvals, and other critical actions hidden within everyday email clutter. It ensures that important tasks are never overlooked by surfacing them on a platform users check frequently. This automation reduces cognitive load, improves productivity, and creates a seamless workflow that keeps users organized without requiring manual inbox scanning.

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