Harsh Sharma

Product Manager

Faridabad, Haryana, India1 yr 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Automated over 200 test cases, improving efficiency by 40%
Developed predictive analytics solutions integrating QA and data science
Designed workflow automation reducing scheduling time by 60%

Stackforce AI infers this person is a QA Automation and Data Science professional with a focus on predictive analytics and automation.

Contact

Skills

Core Skills

Qa AutomationAutomationData ScienceMachine Learning

Other Skills

AI AgentsAPI TestingArtificial Intelligence (AI)Azure DevOps ServicesCucumberData AnalysisData MiningData VisualizationDeep LearningFull-Stack DevelopmentFunctional TestingGenerative AIGitHubHTMLImage Recognition

About

💡 From testing systems to training models — I’m bridging the gap between QA Automation and Data Science. I’m Harsh Sharma, currently working as a QA Automation Engineer at Coforge, where I’ve automated 200+ test cases, optimized testing frameworks, and improved product stability by 30%. Alongside this, I’m pursuing a Minor in AI & Data Science at IIT Mandi and building projects in ML, GenAI, and analytics. My strength is blending testing discipline with data fluency. The same mindset I’ve used to debug, optimize, and automate complex systems is now guiding me as I work with Python, SQL, and ML models to extract insights and solve data problems. I’m especially interested in predictive analytics, ML-driven automation, and data storytelling — areas where QA and AI naturally intersect. 📬 Let’s connect if you’re in Data Science, working on ML projects, or open to opportunities where I can apply my hybrid background to deliver value.

Experience

Coforge

3 roles

Test Engineer

Oct 2025 – Present · 5 mos · Greater Noida

Focused on strengthening QA through automation, API validation, and performance testing. Built scalable, data-driven frameworks with Selenium & Java, expanded backend coverage using Postman and Rest Assured, and optimized regression cycles to improve release confidence. Exploring Python, SQL, and ML to integrate predictive insights into QA.

AutomationAPI TestingGenerative AISeleniumTest AutomationJava+1

Software Engineer

Oct 2024 – Oct 2025 · 1 yr · Greater Noida

At Coforge, I’ve played a pivotal role in automating and streamlining testing for a life insurance policy platform:
Automated 200+ test cases using Selenium & Java, reducing manual testing time by 40%
Optimized frameworks with reusable components, improving efficiency and scalability
Designed regression and smoke testing routines that boosted product stability by 30%
Led API validation efforts using Postman and Rest Assured, ensuring seamless backend integration
Collaborated across teams to review code, enforce testing standards, and accelerate release cycles
🔍 Beyond QA, I’ve started applying Python, SQL, and ML techniques to analyze testing data, explore predictive QA approaches, and connect automation with data science.

AutomationAI AgentsLangChainData ScienceArtificial Intelligence (AI)Data Analysis+7

Software Engineer Trainee

May 2024 – Oct 2024 · 5 mos · Greater Noida

Azure DevOps ServicesJiraCucumberPython (Programming Language)Software TestingJava

Ltimindtree

Automation Intern

Feb 2024 – May 2024 · 3 mos · Noida, Uttar Pradesh, India · Hybrid

During my internship, I designed workflow automation solutions using Microsoft Power Automate, resulting in faster internal processes. I developed Python-based micro-applications, including a real-time weather forecasting tool and an automated online meeting scheduler, reducing scheduling time by 60%. I also contributed to an AI-based patch management system that enhanced system uptime and security. This internship honed my ability to apply both scripting and AI knowledge in a real-world enterprise setting, while improving my skills in automation strategy and cross-functional collaboration.

API TestingMicrosoft Power AutomatePython (Programming Language)Automation

Oasis infobyte

Data Science Intern

Dec 2023 – Jan 2024 · 1 mo · Remote

Wrapped up my Data Science Internship at Oasis Infobyte! 📊
It was an incredible experience working on data analytics and machine learning projects, applying theory to real-world problems, and sharpening my skills along the way. Grateful for the learning, mentorship, and exposure throughout this journey.
Excited to carry these learnings forward into my next chapter!
#DataScience #Internship #OasisInfobyte #MachineLearning #DataAnalytics

Data MiningNatural Language Processing (NLP)Data Science

Xebia

Machine Learning Intern

Jun 2023 – Jul 2023 · 1 mo

Developed a robust and accurate model that can automatically classify the sentiment of textual data, such as customer reviews, or user comments, into predefined sentiment categories (e.g., positive, negative, neutral).

Natural Language Processing (NLP)Data AnalysisMachine Learning

Codes lipi infotech pvt. ltd

Full Stack Developer

Oct 2022 – Apr 2023 · 6 mos · Faridabad, Haryana, India · On-site

Full-Stack DevelopmentMachine LearningNatural Language Processing (NLP)Deep LearningPython (Programming Language)Java

Lti - larsen & toubro infotech

Developer

Jun 2022 – Aug 2022 · 2 mos · Delhi, India

At LTI, I worked hands-on with Azure Cloud services, executing automation scripts using PowerShell to improve routine IT tasks. This role gave me foundational exposure to cloud-based infrastructure and automation. I earned my Microsoft Azure Fundamentals (AZ-900) certification during this period, strengthening my understanding of cloud concepts, governance, and services. My contributions supported enhanced cloud operations and laid the groundwork for my future roles in automation and testing.

Microsoft AzureData ScienceNatural Language Processing (NLP)