Goldman Sachs - Operations Job Simulation

Cybersecurity Fundamentals

Generative AI for Educators Certificate

Introduction to Cloud Computing

SAWiT.AI Learnathon

Web Development Fundamentals

Data Analytics Workshop Certificate

Geo-data sharing and Cyber Security

IBM SkillsBuild AI Internship

30-Days Power BI Micro Course

Google Cybersecurity Professional Certificate V2

Cloud Skill Challenge on Azure fundamentals

📌 Certificate of Completion – Infosys Springboard

Introduction to Soft Skills

AI: Transformative Learning with TechSaksham

A2Z Of Finance: Finance Beginner Course

2025 Aspire Leaders Program

Career Essentials in GitHub Professional Certificate

Artificial Intelligence Fundamentals

Introduction to Programming Using Python

JavaScript (Basic)

Postman API Fundamentals Student Expert

Fidelity International - Technology and Digital Job Simulation

MongoDB Developer's Toolkit: CRUD Mastery with Node.js, Java, Python, C#

Certificate of Participation - Frontend Development Internship

Python Programming Internship

Certificate of Completion - Machine Learning Internship

AI/ML for Geodata Analysis

7-Days Power BI Micro Course

AWS Educate Machine Learning Foundations

Selected for the Aspire Leaders Program 2025, a global leadership initiative founded by Harvard Business School faculty. • Completed 40+ hours of structured leadership, ethics, and AI transformation training • Collaborated with participants from 195+ countries on global problem-solving and impact discussions • Designed a community project proposal focused on bridging the digital education divide using AI-powered learning platforms • Strengthened skills in leadership, communication, decision-making, and cross-cultural collaboration • Participated in peer discussions, reflection sessions, and project presentations This experience enhanced my ability to lead with purpose, think strategically, and apply technology for social impact.

Aspire Leaders Program Participant (2025 Cohort)

High School & Intermediate

Bachelor of Technology - BTech

• Built AI-powered applications using Google Gemini and Vertex AI.
• Designed and optimized prompts using prompt engineering and multimodal techniques.
• Developed and deployed a Streamlit-based AI Resume ATS Tracker.
• Applied Responsible AI principles, bias reduction, and model deployment practices.
• Earned multiple Google Cloud Generative AI skill badges.

Generative AI Intern

• Developed StegoShield, a Python-based steganography tool for secure data hiding in images
• Implemented encryption techniques and secure communication methods
• Performed basic penetration testing and vulnerability analysis exercises
• Studied cybersecurity fundamentals including digital forensics and risk assessment
• Strengthened knowledge of ethical hacking and data security best practices

Cybersecurity Intern

• Developed a Blockchain-Based Land Registry System using Ethereum Smart Contracts.
• Implemented secure property ownership transfer using Solidity, Truffle, Ganache, and MetaMask.
• Designed transparent transaction workflows to reduce fraud and manual verification.
• Gained hands-on experience with decentralized application architecture and smart contract deployment.

Blockchain Technology Intern | (via VOIS & AICTE)

Selected for the Machine Learning Internship at TechnoHacks EduTech, focusing on gaining practical experience in the field of Machine Learning. Engaged in hands-on projects to apply machine learning algorithms and models, working under the guidance of industry experts. Collaborated with a team of domain experts to develop and refine machine learning solutions for real-world applications. Committed to continuous learning and applying new techniques in machine learning.

Machine Learning Intern

• Designed interactive Power BI dashboards to analyze multi-source energy consumption data
• Applied time-series forecasting techniques to predict future energy demand trends
• Performed data analysis using Python, SQL, DAX, and Excel
• Generated actionable insights to support sustainability and resource optimization initiatives
• Improved visualization and business intelligence reporting skills

AI & Data Analytics Intern (via Shell)

• Developed a real-time Sign Language Detection system using CNN and OpenCV
• Built and trained custom deep learning models for gesture recognition
• Applied image preprocessing and model optimization techniques for real-time inference
• Completed Microsoft Azure AI Fundamentals modules covering Computer Vision, NLP, and Generative AI
• Gained hands-on experience with cloud-based AI tools and inclusive technology solutions

AI Intern | Foundations of Artificial Intelligence

Successfully completed a 1-month AICTE OIB-SIP internship focused on Python programming. Developed and delivered projects, including: BMI Calculator: A Python-based tool to calculate Body Mass Index. Password Generator: An application to generate secure passwords. Weather App: A Python app that fetches and displays real-time weather information. Received positive remarks for project quality and problem-solving skills.

Python Programming Intern

- Participated in a 4-week virtual internship program focused on UI/UX design at CodSoft. - Developed and enhanced UI/UX design skills through hands-on projects and tasks. - Collaborated with the team to perform tasks and projects aimed at improving user experience and interface design. - Focused on learning and developing new skills to gain practical knowledge in UI/UX design. - Committed to performing all assigned tasks diligently and following instructions to ensure excellence in all aspects of work.

UI/UX Design Intern

• Built a high-performance AI web interface using React 18, TypeScript, and Gemini 2.0 API with real-time streaming responses
• Designed 6 specialized AI modes (Code, Q&A, Summarization, Productivity) using advanced prompt engineering logic
• Developed a real-time Analytics Dashboard to track API performance, response latency, and reliability metrics
• Optimized frontend performance using Tailwind CSS and code-splitting, achieving 95+ Lighthouse score and sub-1s FCP
• Integrated Speech-to-Text input and file upload features to enhance multi-modal AI interaction

AI & Prompt Engineering Intern

• Built and deployed an Employee Salary Classification system using Gradient Boosting (87% accuracy)
• Performed data preprocessing including feature encoding, scaling, and missing value handling
• Trained and evaluated ML models such as Logistic Regression, Random Forest, SVM, and KNN
• Developed a Streamlit-based web application supporting batch and single-input predictions
• Strengthened skills in Scikit-learn, model evaluation, and ML deployment pipelines

Artificial Intelligence & Machine Learning Intern

- Participated in a comprehensive training and internship program focused on Web Development. - Engaged in live training sessions and received hands-on experience with industry experts. - Applied learned skills and knowledge to actual projects, enhancing understanding of web development. - Developed and contributed to various projects, gaining practical experience in the field. - Demonstrated dedication and enthusiasm throughout the training and project phases.

Java Development Intern

Successfully completed the Aspire Leaders Program 2025, a transformative global leadership initiative founded by Harvard Business School Professors Tarun Khanna and Karim Lakhani. This competitive and immersive program focused on developing skills in:

• Leadership Development: Enhanced adaptability, trust-building, and decision-making skills through structured weekly modules.
• AI and Digital Transformation: Explored how AI and technology drive solutions for global challenges, emphasizing ethical and impactful applications.
• Strategic Community Engagement: Designed a project proposal aimed at addressing the digital divide in education, incorporating AI-powered learning platforms and community hubs.
• Problem Solving: Analyzed societal issues and proposed sustainable, data-driven solutions to create measurable impact.
• Global Networking: Collaborated with peers from 195+ countries, fostering cross-cultural understanding and broadening perspectives.

Key Achievements:
✅ Designed a com

Aspire Leaders Program Participant – 2025 Cohort

Edunet Foundation (AICTE | Microsoft | SAP | Shell)

Selected for a Frontend Development Internship at CodeAlpha, focusing on learning and applying new skills in web development. Engaged in hands-on projects to deepen understanding of frontend development concepts and tools. Collaborated with the development team to build and enhance web interfaces, ensuring a seamless user experience. Completed tasks with a strong commitment to quality and adherence to project guidelines.

Frontend Development Intern

• Developed FutureCart, an AI-powered demand forecasting system using time-series analysis and multivariate regression.
• Integrated digital marketing KPIs (Google clicks, Facebook impressions) to improve prediction accuracy.
• Performed data preprocessing, feature engineering, and model evaluation for retail analytics.
• Improved inventory planning and marketing decision-making using AI-driven insights.
• Collaborated on result visualization and technical documentation.

AI Intern

- Worked on Employees Burnout Analysis using AI & ML techniques
- Explored predictive modeling for workplace stress & burnout risks
- Gained hands-on experience with Python, Machine Learning, and Data Science

• Installed and configured Security Onion SIEM for real-time network traffic monitoring and threat detection
• Analyzed Windows Event Logs to identify anomalies and Indicators of Compromise (IoCs)
• Worked with security tools including Kibana, Suricata, CyberChef, and InfluxDB for log analysis and visualization
• Performed hands-on exercises in ethical hacking, penetration testing, and incident response workflows
• Strengthened expertise in cyber threat detection, digital forensics, and SOC operations fundamentals

Cybersecurity Intern – Ethical Hacking & Penetration Testing

• Developed a data-driven project analyzing global maternal health indicators aligned with UN SDG 3.1
• Processed and visualized datasets using Python (Pandas, Matplotlib, Plotly) and Watson Studio
• Built analytical dashboards to identify trends in healthcare access and mortality metrics
• Gained hands-on experience with IBM Cloud Lite services and Jupyter Notebook workflows
• Improved skills in cloud-based data analytics and real-world problem modeling

AI & Cloud Intern

• Built a responsive real-time Weather Dashboard using React.js, TypeScript, and Tailwind CSS
• Integrated OpenWeatherMap and Geolocation APIs for dynamic location-based weather data
• Implemented dark/light mode, glassmorphism UI, and mobile-first responsive layouts
• Optimized frontend performance and deployed the application on Vercel
• Strengthened expertise in modern UI development and REST API integration

Front End Web Development Intern

Completed a 2-month virtual internship as part of Infosys Springboard 6.0 (Batch 13), working on the project "Visual Analysis of U.S. Natural Disaster Declarations: Trends and Patterns."

Analyzed 65 years of FEMA disaster declaration data (1953–2017), cleaning and validating 46,185 raw records down to 1,321 high-quality entries (40.4% retention) and engineering 7 new analytical features.

Key milestones delivered:
• Data Cleaning & Preparation — built a robust 10-stage validation pipeline achieving >95% completeness across critical fields
• Temporal Analysis — identified exponential growth in disaster frequency, a sharp 1990 regime shift, and September as peak month (7× the minimum)
• Geographic Analysis — mapped regional concentrations (South ~45%) and state-level disaster specialization (FL–hurricanes, CA–fires, OK–tornadoes) using GeoPandas and Folium
• Incident Type Analysis — characterized storm dominance (37%), Pareto concentration (top 3 types = 75%), and accelerating fire tren

Data Science Intern

• Analyzed student engagement datasets to uncover patterns influencing participation, completion rates, and learner behavior.
• Performed data cleaning, preprocessing, and exploratory data analysis (EDA) to prepare datasets for AI-driven insights.
• Created data visualizations and trend analysis to identify correlations and engagement patterns.
• Applied basic machine learning techniques to predict student outcomes and learning behaviors.
• Converted analytical insights into data-driven recommendations aimed at improving student engagement and learning experiences.
• Collaborated with peers in a team-based remote environment to discuss insights and propose analytical solutions.
• Recognized as a ⭐ Star Performer for outstanding contribution and performance during the internship.

AI Data Analyst Intern

Successfully completed a 4-week virtual internship focused on Artificial Intelligence and Data Analytics for Green Skills under the #Skills4Future initiative by AICTE, Shell India, and Edunet Foundation.

🚀 Key responsibilities and achievements:

Designed an end-to-end Power BI Dashboard to analyze energy consumption trends across water, gas, and electricity from 2016 to 2020.

Conducted time-series forecasting and predictive analytics using Python and Power BI for future energy demand estimation.

Delivered insights into seasonal, location-wise, and building-specific consumption patterns to support sustainable resource optimization.

Applied tools like Power BI, Excel, SQL, Python, DAX, and ARIMA for advanced data analysis and visualization.

Presented an interactive dashboard showcasing KPIs, peak usage periods, average consumption, and cost analysis.

Promoted data-driven sustainability and gained exposure to real-world applications of AI in energy management.

AI & Data Analytics Intern (via AICTE & Edunet Foundation)

Successfully completed a 6-week Cybersecurity Internship under IBM SkillsBuild, in collaboration with AICTE & Edunet Foundation. This internship provided hands-on exposure to cryptography, ethical hacking, encryption, and data security.  

🚀 Key Achievements & Learnings: 
✅ Developed StegoShield, a steganography-based tool for secure data hiding within images using Python & OpenCV 
✅ Gained expertise in data privacy, encryption, and secure communication techniques  
✅ Hands-on experience with penetration testing, threat detection, and security best practices  
✅ Explored IBM's cybersecurity modules, covering ethical hacking, risk assessment, and digital forensics

🙌 Acknowledgments: 
Special thanks to IBM SkillsBuild, Edunet Foundation, and AICTE for this amazing learning opportunity and mentorship!  

#CyberSecurity #IBM #AICTE #EdunetFoundation #DataSecurity #Steganography #Python #Encryption #EthicalHacking

Cybersecurity Intern | (via Edunet Foundation & AICTE)

• Developed foundational understanding of ESG principles, sustainability disclosures, and global reporting frameworks including GRI and SASB
• Collected and structured ESG data from five Chinese companies across multiple industries
• Built a comparative benchmarking matrix analyzing Environmental, Social, and Governance performance indicators
• Evaluated disclosure transparency, reporting quality, and alignment with international standards
• Identified reporting gaps, strengths, and improvement opportunities across companies
• Designed an advisory-style presentation with actionable ESG recommendations aligned to global best practices

Environmental Social Governance (ESG) Analysis Intern

Completed the ServiceNow Virtual Internship Program with SmartBridge, gaining hands-on experience in enterprise workflow automation and IT Service Management (ITSM).

💡 Key Learnings & Contributions:
• Completed structured learning via ServiceNow University
• Gained practical exposure to ServiceNow Administration & ITSM workflows
• Explored Agentic AI fundamentals and automation capabilities

🔧 Core Skills & Technologies:
• Workflow Automation & Flow Designer
• IT Service Management (ITSM)
• Automated Test Framework (ATF)
• Reporting & Dashboarding
• ServiceNow Platform Administration

📜 Certifications & Modules Completed:
✔ Welcome to ServiceNow
✔ Welcome to ServiceNow Micro-Certification
✔ ServiceNow Administration Fundamentals
✔ Introduction to Agentic AI
✔ Introduction to Flows
✔ Automated Test Framework (ATF) Essentials
✔ Reporting & Dashboarding
✔ CSA (Certified System Administrator) Exam Preparation

🚀 Developed a strong foundation in enterprise-grade platforms, automation w

ServiceNow System Administrator Intern

Completed a 4-week Microsoft Elevate Emerging Technologies Internship in collaboration with AICTE, focused on Microsoft Azure Cloud Services and Power BI for Business Applications.

🔹 Azure Cloud & AI Track:
• Studied Azure Fundamentals (AZ-900), Azure AI Fundamentals (AI-900), and Security, Compliance & Identity (SC-900)
• Explored cloud architecture, governance models, identity management, and enterprise security
• Gained hands-on exposure to Azure services, cloud deployment models, and AI-powered solutions

🔹 Power BI for Business Applications:
• Performed data cleaning, transformation, and modeling
• Built interactive dashboards and business intelligence reports
• Applied data visualization techniques to generate actionable insights
• Implemented governance and security practices in BI environments

Microsoft Elevate Intern – Azure & Power BI (Business Applications)

AI Intern – Edunet Foundation

🔹 Developed an AI-powered Chatbot using NLP
🔹 Gained hands-on experience in AI, ML & NLP
🔹 Participated in expert-led technical sessions & mentorship
🔹 Showcased the project to industry leaders

🔗 Project Links:
📂 GitHub Repo: https://github.com/Saket22-CS/Chatbot_using_NLP  
🌐 Live Project: https://chatbot-vje3p3qjvowj5iuhbaaedh.streamlit.app/

AI Intern | Edunet Foundation, AICTE, Microsoft & SAP

Software Engineer | Full-Stack Developer (MERN) | Machine Learning & Blockchain | Python | AWS | Infosys Springboard AI

leetcode

Know about Saket Chaudhary's work experience, education, bootcamps, certifications, and much more. Saket Chaudhary