Computer Science Graduate | AI and ML Enthusiast
Computer Science graduate (B.Tech, AI & Data Science, 2022-2026) with hands-on experience in Python, Pymoo, NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow. Skilled in multi-objective optimization, machine learning, deep learning, and data analysis, with additional proficiency in C, C++, HTML, CSS, Django, MySQL, and Tableau. Experienced in building forecasting models, recommendation systems, and optimization algorithms, backed by internships in AI/ML and data science. My internships at Labmentix and Mainflow Technologies gave me practical exposure to building and deploying machine learning models, while my role as Placement Coordinator for my department has sharpened my communication and organizational skills. I'm looking for opportunities in Artificial Intelligence, Machine Learning, Data Science, or Software Development, where I can bring rigorous research thinking and hands-on technical skills to solve real-world problems.
xxxxxxxx93
bh***@gmail.com
Labmentix
Jun 2025 - Dec 2026
remote, india • remote
During my 6-month internship, I was responsible for developing ML models and deep learning architectures to solve complex, real-world problems. My work involved building AI-based applications and leveraging core frameworks, specifically utilizing TensorFlow, Keras, PyTorch, OpenCV and Scikit learn to deliver high-quality solutions.
Bachelor of Science, CSE
cgpa: 7.92
Btech Project • Feb 2026 - May 2026
Proposed SGMGPSO-PD-TVSR: Per-Particle Per-Dimension (PP-PD) parameter sampling combined with a Time-Varying Stability Region (TVSR). Benchmarked on 14 ZDT/WFG problems, 30 runs; achieved average ranks of 1.86 (HV) and 2.29 (IGD); validated with Friedman and Wilcoxon tests. Skill snapshot: Python, Pymoo, NumPy, Matplotlib, SciPy.
Labmentix • Jul 2025 - Aug 2025
Developed a customer segmentation and product recommendation system using RFM analysis, K-Means clustering, PCA, and item- based collaborative filtering. Segmented customers into three behavioral groups and generated top-10 product recommendations using cosine similarity to enable personalized marketing. Skill snapshot: Python, Pandas, NumPy, Scikit-learn, RFM Analysis, K-Means, PCA, Collaborative Filtering, Cosine Similarity, Data Visualization.
Bteh Project • Feb 2025 - Dec 2025
Built a stacking ensemble forecasting model with log transformation, lag features, and EWMA smoothing; achieved R-squared of 0.98 for 3-day-ahead forecasts. Skill snapshot: Python, Scikit-learn, Pandas, NumPy, TensorFlow.
No volunteering activities listed
Resume
Click download to view the resume
Scholiverse Educare Private Limited
Issued: Aug 2024
Acmegrade
Issued: Feb 2023
Level: Club Level