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SAGAR KUMAR GAUTAM

Software Development Intern (PeopleSoft) @ Darkfox | BCA Final Year | Full-Stack Basics (React, Node, MongoDB) | SQL

Prayagraj

2+ years of work experience

Jan 20266 mosPresent

Remote

Selected as a Software Development Intern at Darkfox Solutions Private Limited. • Receiving hands-on training in Oracle PeopleSoft and enterprise ERP concepts • Learning PeopleSoft architecture, core modules, and business process flows • Working with SQL and basic scripting to understand enterprise data handling • Gaining exposure to the software development lifecycle (SDLC) in an ERP environment • Collaborating with mentors and team members on real-world enterprise solutions This internship focuses on building strong ERP fundamentals and industry-ready skills.
Big Data Club, UIM FUGS
Aug 20256 mosJan 2026

Prayagraj, Uttar Pradesh, India

Lead data-driven learning initiatives focusing on Big Data technologies including Hadoop, Spark, and data pipeline architecture. Organize technical workshops on Python-based data analysis, SQL optimization, and data visualization using Pandas, NumPy, and Matplotlib for 40+ club members. Facilitate hands-on sessions on ETL processes, data modeling, and large-scale data processing techniques. Collaborate with faculty to design case studies on real-world data governance, performance optimization, and business intelligence applications. Drive monthly knowledge-sharing sessions on emerging trends in data engineering, machine learning pipelines, and cloud-based analytics platforms.
United Institute of Management
Apr 20253 mosJun 2025

Managed 15+ developers across 4 projects using branching conventions and weekly PR reviews — reduced merge conflicts by 40% and shipped all 3 apps on schedule. Taught 5 workshops on Git, RESTful API design, and Agile to 60+ students; three departments adopted version control as a formal practice.
Read and Write Club
Jun 202411 mosApr 2025

Prayagraj, Uttar Pradesh, India

Planned and executed 12+ cultural events, workshops, and writing competitions attended by 200+ students, fostering creativity and critical thinking. Mentored 30+ club members in written communication, public speaking, and storytelling techniques. Managed event budgets, coordinated with 5+ cross-functional teams, and ensured seamless execution of monthly activities. Led content creation initiatives including newsletter production, social media campaigns, and blog management. Developed leadership, event management, and stakeholder coordination skills while building a vibrant community of 80+ active members.
UIM FUGS
Jan 20251 moJan 2025

Prayagraj, Uttar Pradesh, India

Completed intensive 40-hour Machine Learning certification program covering Python-based ML, supervised/unsupervised learning algorithms, and model evaluation techniques. Trained classification and regression models using scikit-learn, achieving 92% accuracy across 3 test datasets. Performed data preprocessing, feature engineering, and exploratory data analysis on 5,000+ data points using Pandas and NumPy. Built data visualizations with Matplotlib and Seaborn to identify patterns and trends. Applied Naive Bayes, Decision Trees, and Linear Regression algorithms to real-world datasets. Developed spam detection classifier with 95% accuracy using TF-IDF vectorization and natural language processing techniques.

Education

United Institute Of Management

BACHELOR OF COMPUTER APPLICATIONS, Computer Software Engineering

United Institute Of Management

20233 yrs2026
kendriya vidyalaya

Primary Education

kendriya vidyalaya

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Headline

Software Development Intern (PeopleSoft) @ Darkfox | BCA Final Year | Full-Stack Basics (React, Node, MongoDB) | SQL

About

Full-Stack Developer | React & Node.js | Machine Learning Enthusiast Final-year BCA student and aspiring Software Engineer with proven experience building scalable web applications and data-driven solutions. I've developed 6+ production-ready projects leveraging React, Node.js, Firebase, and machine learning fundamentals—focused on performance optimization and user-centric design. What I Deliver: Full-stack development with React, Node.js, and RESTful API design AI-powered applications: Built MockMate, an interview platform serving 200+ registered users with Firebase authentication and role-based question rendering across 5 job categories Performance optimization: Reduced code duplication by 35% and achieved sub-2-second load times through modular architecture Machine learning models: Developed 95%-accuracy spam classifier using TF-IDF and Naive Bayes (0.97 precision, 0.89 recall) Leadership: Led 15+ member Web Development Club, delivering 5+ workshops on Git/GitHub to 60+ students and accelerating sprint velocity by 40% Technical Skills: Languages: JavaScript, Python, C++, Java, SQL Frontend: React, Tailwind CSS, HTML5, CSS3 Backend: Node.js, RESTful APIs, Express Databases: MongoDB, MySQL, Firebase ML/Data: NumPy, Pandas, Matplotlib, TF-IDF, Naive Bayes Tools: GitHub, Docker, Postman, Vercel Key Projects: MockMate – AI-powered mock interview platform with 200+ users, structured 50+ questions, 2-second load time Go-Planner – Study scheduler tracking 100+ deadlines, reducing planning time by 50% for 80+ students Spam Detection Model – 95% accuracy ML classifier trained on 5,572+ messages Recognition: 🏆 1st Place, Intra-College Workshop – Full-stack e-commerce project with 25% faster page loads 📜 Machine Learning Certification – 40-hour intensive program, 92% model accuracy on 3 test datasets What I'm Seeking: Entry-level Software Engineer, Full-Stack Developer, or Junior ML Engineer roles where I can build impactful products, optimize performance, and collaborate with innovative teams. Open to opportunities in fintech, edtech, SaaS, or startups building at scale. 📧 Let's connect: sagarkumargautam78@gmail.com | GitHub: SagarKumarGautam | LinkedIn: SagarGautam

Location

Prayagraj

Work experience

Software Development Intern at Darkfox Solutions, Jan 2026 - Present · 6 mos, Remote, Selected as a Software Development Intern at Darkfox Solutions Private Limited. • Receiving hands-on training in Oracle PeopleSoft and enterprise ERP concepts • Learning PeopleSoft architecture, core modules, and business process flows • Working with SQL and basic scripting to understand enterprise data handling • Gaining exposure to the software development lifecycle (SDLC) in an ERP environment • Collaborating with mentors and team members on real-world enterprise solutions This internship focuses on building strong ERP fundamentals and industry-ready skills.

President at Big Data Club, UIM FUGS, Aug 2025 - Jan 2026 · 6 mos, Prayagraj, Uttar Pradesh, India, Lead data-driven learning initiatives focusing on Big Data technologies including Hadoop, Spark, and data pipeline architecture. Organize technical workshops on Python-based data analysis, SQL optimization, and data visualization using Pandas, NumPy, and Matplotlib for 40+ club members. Facilitate hands-on sessions on ETL processes, data modeling, and large-scale data processing techniques. Collaborate with faculty to design case studies on real-world data governance, performance optimization, and business intelligence applications. Drive monthly knowledge-sharing sessions on emerging trends in data engineering, machine learning pipelines, and cloud-based analytics platforms.

Web Technician at United Institute of Management, Apr 2025 - Jun 2025 · 3 mos, Managed 15+ developers across 4 projects using branching conventions and weekly PR reviews — reduced merge conflicts by 40% and shipped all 3 apps on schedule. Taught 5 workshops on Git, RESTful API design, and Agile to 60+ students; three departments adopted version control as a formal practice.

Vice President at Read and Write Club, Jun 2024 - Apr 2025 · 11 mos, Prayagraj, Uttar Pradesh, India, Planned and executed 12+ cultural events, workshops, and writing competitions attended by 200+ students, fostering creativity and critical thinking. Mentored 30+ club members in written communication, public speaking, and storytelling techniques. Managed event budgets, coordinated with 5+ cross-functional teams, and ensured seamless execution of monthly activities. Led content creation initiatives including newsletter production, social media campaigns, and blog management. Developed leadership, event management, and stakeholder coordination skills while building a vibrant community of 80+ active members.

Machine Learning Trainee at UIM FUGS, Jan 2025 - Jan 2025 · 1 mo, Prayagraj, Uttar Pradesh, India, Completed intensive 40-hour Machine Learning certification program covering Python-based ML, supervised/unsupervised learning algorithms, and model evaluation techniques. Trained classification and regression models using scikit-learn, achieving 92% accuracy across 3 test datasets. Performed data preprocessing, feature engineering, and exploratory data analysis on 5,000+ data points using Pandas and NumPy. Built data visualizations with Matplotlib and Seaborn to identify patterns and trends. Applied Naive Bayes, Decision Trees, and Linear Regression algorithms to real-world datasets. Developed spam detection classifier with 95% accuracy using TF-IDF vectorization and natural language processing techniques.

Education

BACHELOR OF COMPUTER APPLICATIONS, Computer Software Engineering, United Institute Of Management

Primary Education, kendriya vidyalaya