Oct 2023 – Nov 2023 · 1 mo · Remote

• During my internship at Oasis Infobyte, I worked on various hands-on projects in the field of Machine Learning and Data Science. I gained practical experience in implementing end-to-end ML pipelines and developing models using Python and libraries like scikit-learn, NumPy, and Pandas. Key responsibilities and accomplishments include:
• 🔍 Built and trained ML models for tasks like data classification and prediction.
• 📊 Performed data preprocessing, visualization, and feature engineering on real-world datasets.
• 💡 Developed and deployed solutions using Jupyter Notebooks and Python-based frameworks.
• 📈 Enhanced understanding of model evaluation techniques like accuracy, precision, recall, and confusion matrix.
• 🤝 Collaborated remotely with a team of fellow interns and mentors, improving communication and teamwork skills.
• This experience greatly strengthened my foundational knowledge of ML concepts and solidified my interest in pursuing a career in Artificial Intelligence and Data Science.

Sep 2022 – Oct 2022 · 1 mo

• At AICAN Pvt. Ltd., I worked as a Machine Learning Intern, contributing to innovative AI-driven solutions and gaining valuable exposure to real-world applications of artificial intelligence and machine learning. My responsibilities included:
• 🔬 Conducted exploratory data analysis (EDA) and preprocessed large datasets for training ML models.
• 🧠 Implemented algorithms for classification, regression, and clustering using Python, scikit-learn, and TensorFlow.
• 🧾 Worked on project pipelines involving model training, hyperparameter tuning, and performance evaluation.
• 🔄 Collaborated with a cross-functional team to integrate ML models into web-based applications and tools.
• 🧪 Applied knowledge of statistics and mathematics to improve model accuracy and generalization.
• This internship significantly enhanced my technical skills and deepened my understanding of AI, preparing me for more advanced roles in machine learning and data science.

Mar 2022 – Apr 2022 · 1 mo · India

• As a Campus Ambassador for the National Engineering Olympiad, I served as the official representative of NEO at my university, working to promote participation and awareness of this nationwide technical competition. Key responsibilities included:
• 📢 Promoted the Olympiad through various channels, including social media, email campaigns, and college groups.
• 🧑‍🤝‍🧑 Encouraged student registrations by explaining the benefits and opportunities provided by NEO.
• 📈 Helped increase participation from my campus by organizing info sessions and solving students' queries.
• 🤝 Built a strong network of like-minded peers and contributed to spreading a culture of competitive learning and self-improvement.
• This experience enhanced my leadership, communication, and organizational skills, while also allowing me to connect with students and professionals passionate about engineering and technology.

Feb 2022 – Apr 2022 · 2 mos

• As the Class Representative for my Computer Science Engineering batch, I act as a liaison between students and faculty, ensuring effective communication and coordination within the department. My responsibilities include:
• 🗣️ Representing students' concerns, feedback, and suggestions to faculty and administrative staff.
• 📅 Coordinating academic updates, schedules, and event information between students and the university.
• 🤝 Helping organize departmental activities, workshops, and guest lectures.
• ✅ Assisting with attendance management, examination schedules, and submission deadlines.
• 💡 Promoting a collaborative and inclusive environment to support both academic and extracurricular engagement.
• This role has strengthened my leadership, communication, and organizational skills while reinforcing my commitment to teamwork and academic excellence.