The professional snapshot.
A concise, one-page overview of my education, technical skills, and verified project work.
Daksh Malik
Aspiring AI/ML Engineer
Professional summary
Computer Science and Engineering undergraduate specializing in Data Science and Artificial Intelligence at SRM University, Delhi-NCR. Project work includes PyTorch neural networks, recurrent models, and Python data analysis. Interested in AI/ML engineering, AI-powered products, and entrepreneurship; currently exploring Transformers and large language models.
Education
B.Tech in Computer Science and Engineering
Specialization: Data Science / Artificial Intelligence · SRM University, Delhi-NCR
Expected graduation: 2028 · Current CGPA: 8.27
Technical skills
Programming: Python, SQL
Data analysis: NumPy, Pandas, Matplotlib, Seaborn
Machine learning: Scikit-learn, Supervised Learning, Model Evaluation
Deep learning: ANN, CNN, RNN, LSTM, GRU
Currently exploring: Transformers, Large Language Models
Selected projects
MNIST Handwritten Digit Prediction
Trained a PyTorch ANN on MNIST to classify handwritten digits from 0 to 9; added a Streamlit image-upload interface for predictions.
Technologies: Python, PyTorch, Torchvision, Streamlit
Plant Disease Detection
Built and trained a PyTorch CNN on PlantVillage leaf images to classify 15 disease classes; added a Streamlit image-upload interface.
Technologies: Python, PyTorch, Torchvision, Streamlit
Electricity Demand Forecasting
Compared RNN, LSTM, and GRU models to forecast next-hour household electricity use from the previous 24 hourly Global_active_power readings.
Technologies: Python, PyTorch, Scikit-learn, Pandas
IPL Data Analysis
Cleaned and integrated IPL datasets for season, match, team, and player analysis, then performed exploratory analysis and created visualizations.
Technologies: Python, Pandas, NumPy, Matplotlib
Interests
AI/ML research, AI-powered products, finance and investment technology, entrepreneurship, automobiles, and cricket.