👋 Hello, I'm
Animesh Dahiya
|
Master's Student in Data Science at RMIT
Passionate about transforming data into insights and building intelligent automation solutions. Experienced in Python, Machine Learning, and Full-Stack Development.
About Me
A passionate software engineer and data science professional dedicated to building innovative solutions through automation and machine learning
Who I Am
I'm a data-driven software engineer with a strong foundation in full-stack development, automation, and machine learning. With over 3 years of experience at Cognizant, I've delivered impactful automation solutions and optimized business workflows for enterprise clients.
Now pursuing a Master's in Data Science at RMIT University, I combine technical depth with creative problem-solving to build intelligent, efficient, and scalable systems that drive real-world value.
My Journey
My journey began with a Bachelor's in Computer Science Engineering from SRM Institute (2016–2020), followed by over 3 years as a Software Engineer at Cognizant.
At Cognizant, I led automation initiatives using UiPath and the Amelia chatbot, delivering over $300,000 in annual cost savings through process improvements and workflow optimization. I also built tools that reduced manual tasks, improved response times by 20%, and enhanced system reliability.
Now at RMIT University, I'm advancing my expertise in data science, AI, and intelligent automation — aiming to bridge software engineering with data-driven innovation.
My Approach
I believe in solving problems through automation-first thinking and data-backed decision-making. My approach blends deep technical skills with process insight to deliver meaningful, scalable results.
Whether building ML models, engineering full-stack systems, or refining operations, I focus on crafting solutions that improve efficiency, reduce complexity, and empower users.
I'm especially passionate about emerging technologies in AI and automation — and how they can be used to solve complex challenges and create lasting impact in real-world systems.
Key Highlights
Professional Experience in Software Development & Automation
Annual Cost Savings Through Workflow Optimization
Reduction in Manual Work Through AI Chatbot Automation
Improvement in Response Times Through Automation
Data Science & AI Projects Completed
Core Expertise
Skills & Expertise
Comprehensive expertise in data science, automation, and business strategy with strong technical and leadership capabilities
Core Competencies
Python
95%Data Science, Automation, Backend Development
Data Science & ML
90%ML, Analytics, Statistical Modeling
Business Strategy
92%Strategic Planning, Stakeholder Management, ROI Analysis
Automation
88%UiPath, Process Optimization, Workflow Design
Project Management
95%Agile, Scrum, Team Leadership
Web Development
75%JavaScript, React, Full-Stack Development
Cloud Computing
80%AWS, EC2, S3, DynamoDB, API Gateway
Technology Stack
Data Science & AI
Business & Leadership
Development & Tools
Analytics & Visualization
Automation & Integration
Testing & Quality
Cloud & Infrastructure
Featured Projects
Innovative technology solutions
Konzepta: AI-Assisted Design Ideation Helper
An innovative AI-powered design ideation tool that transforms creative workflows through intelligent automation and visual generation.
F1 Analytics Dashboard
A comprehensive Formula 1 analytics platform with ML-powered race predictions, strategy optimization, and driver performance analysis featuring modern React/TypeScript frontend.
Parking Sign Scanner
A modern Android application that uses computer vision and machine learning to scan and analyze parking signs in Melbourne, providing real-time parking restriction information.
All Projects
A comprehensive collection of data science, AI, and automation projects showcasing problem-solving through innovative technology solutions
Konzepta: AI-Assisted Design Ideation Helper
An innovative AI-powered design ideation tool that transforms creative workflows through intelligent automation and visual generation.
F1 Analytics Dashboard
A comprehensive Formula 1 analytics platform with ML-powered race predictions, strategy optimization, and driver performance analysis featuring modern React/TypeScript frontend.
Parking Sign Scanner
A modern Android application that uses computer vision and machine learning to scan and analyze parking signs in Melbourne, providing real-time parking restriction information.
HomeHop: Public Transport Accessibility & Property Value Analysis
A comprehensive data science project analyzing the impact of public transport on property values using advanced ML techniques.
Employee Satisfaction and Industry Sentiment Analysis
Large-scale sentiment analysis project revealing job satisfaction patterns and industry insights from millions of employee reviews.
Video Game Sales Data Visualization
An interactive web application providing comprehensive insights into video game sales data through dynamic visualizations.
YouTube to Spotify Playlist Converter
An automation tool that bridges music platforms by converting YouTube playlists to Spotify with intelligent song matching.
Blockchain-Based Lottery System Security
Published research on implementing blockchain technology for secure, transparent, and fraud-resistant lottery operations.
Work Experience
Software Engineer
Cognizant
Pune, Maharashtra
- Developed and deployed automation solutions using UiPath, Amelia chatbot, and Eyeshare, streamlining workflows and improving efficiency
- Utilized the Amelia chatbot tool to automate over 100 employee queries daily, improving response times by 20%
- Automated UI tasks with UiPath, reducing manual intervention and boosting productivity
- Optimized internal processes using Eyeshare, including incident management, ticketing, and hardware checks like server runtime and server health, reducing incident resolution times by 25%
- Led automation projects in an Agile/Scrum framework, ensuring timely delivery and alignment with business goals
Intern
Cognizant
Chennai
- Completed comprehensive training in software development and automation technologies
- Gained hands-on experience with enterprise-level software development practices
- Participated in team projects and learned industry best practices
Department Manager (Product Quality)
McDonald's
Melbourne
- Implemented inventory control strategies to minimize waste and streamline resource management
- Collaborated with area managers to refine quality control standards, focusing on consistency and process repeatability, echoing principles used in automation workflows
Education
Master's
Data Science
RMIT University
July 2023 - June 2025
Currently pursuing advanced studies in data science, machine learning, and statistical analysis.
Bachelor of Technology
Computer Science Engineering
SRM Institute of Science and Technology
July 2016 - May 2020
Comprehensive study of computer science fundamentals, software engineering, and programming.
Publication
A Smart Approach for Securing Lottery System with Blockchain
International Journal of Applied Science and Technology (IJAST)
June 2020
Research paper focusing on implementing blockchain technology to enhance security and transparency in lottery systems, addressing fraud prevention and ensuring fair operations.
Get In Touch
Contact Information
Location
Melbourne, Victoria, Australia