Lalan Kumar
Development
Telangana, India
Skills
Machine Learning (ML)
About
LALAN KUMAR's skills align with IT R&D Professionals (Information and Communication Technology). LALAN also has skills associated with Database Specialists (Information and Communication Technology). LALAN KUMAR appears to be an entry-level candidate, with 15 months of experience.
View more
Work Experience
Google Developer Student Clubs Lead
Hyderabad Institute
January 2023 - Present
- As the GDSC Lead at HITAM, I spearheaded transformative initiatives to advance technological proficiency among students and foster a collaborative learning environment. During my tenure, the GDSC at HITAM achieved remarkable milestones, solidifying its reputation as a hub for technological innovation. • Secured Runner Up in the Ministry of Oceans Category at the Smart India Hackathon Grand Finale. Projects • Dog Breed Classification Python, TensorFlow, CNN, MobileNet-V2, Keras, Pandas, Numpy, Matplotlib - Developed an image classification algorithm capable of classifying among 120 dog breeds using a Convolutional Neural Network (CNN) model. - Demonstrated high accuracy in breed classification, suitable for pet care, veterinary services, and breed analysis. - Played a key role in model training, data preprocessing, and implementation using TensorFlow, Keras, and other Python libraries. • Sale Price Prediction Python, Scikit-learn, Numpy, Pandas, Matplotlib - Developed a regression model capable of predicting the sale price of bulldozers using a RandomForestRegressor model. - Demonstrated reliable performance in predicting sale prices, making it a valuable tool for auctioneers, construction companies, and equipment sellers. - Contributed to the model development, data analysis, and implementation using Scikit-learn, Numpy, Pandas, and Matplotlib. • Automated Animal Identification and Detection Of Species Python, Jupyter Notebook, ML, Kaggle, TensorFlow - Developed an innovative system utilizing Neural Network techniques for automated animal identification. The project aimed to revolutionize the process of species recognition. - Key features included precise species classification, efficient data processing, and real-time detection capabilities. - Contributed significantly to model training, dataset preparation, and integration of TensorFlow components using Python, Jupyter Notebook, and TensorFlow.
Education
Hyderabad Institute of Technology And Management
Bachelor of Technology in Computer Science & Engineering
January 2021 - January 2025
