Iram

Chandigarh, Chandigarh, India
Iram
Experience: 6 years
Open to: Full-Time
Education: Masters
Availability: Within 15 Days
Skills: Jupyter Notebooks, NumPy, pandas, Python3, scikit-learn, TensorFlow, Unreal
Previously worked at: India-based Companies
Assessment Score: 80
  • Professional Experience: Senior Research Fellow (SRF) at Defense Geo-informatics Research Establishment (DGRE), DRDO, with a focus on avalanche forecasting, artificial triggering, and snowbound mountain area control. Key contributions include the development of deep learning models for avalanche site detection and prediction, as well as the creation of a chatbot for weather forecast dissemination.
  • Deep Learning Expertise: Specialized in designing and implementing deep learning models using CNNs, RNNs, and Transfer Learning with TensorFlow and Keras. Strong experience in model optimization, data augmentation, and evaluation techniques such as accuracy, recall, precision, and RMSE.
  • Machine Learning & NLP Skills: Proficient in machine learning techniques such as ARIMA for time series analysis and fundamentals of Natural Language Processing (NLP). Demonstrated expertise in using NLP for chatbot development and sentiment analysis.
  • Virtual Desktop Infrastructure: Successfully implemented a centralized HCI VDI system to enhance security and reduce manpower efforts. Skilled in VMWare products, including ESXi, vSphere, and vCenter, along with fault tolerance and high availability setups.
  • Academic Background: Holds an M.Tech in Computer Engineering and a B.Tech in Computer Science & Engineering from Punjabi University, Patiala. Academic projects include time series analysis of addictive applications and the development of a Next Gen Restaurant Management System.
  • Certifications & Continuous Learning: Certified in TensorFlow, deep learning, and VMWare administration, with hands-on experience in neural networks and machine learning tools. Committed to staying updated with the latest advancements in AI and deep learning technologies.

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