Welcome to my world of data-driven exploration and geographic insights. I'm on an intellectual journey to decipher the mysteries of our spatial universe and transform raw data into impactful insights. Currently, I'm pursuing my M.Tech in Geoinformatics at the esteemed National Institute of Technology (NIT). My passion lies at the intersection of geography, data science, and advanced analytics.
- π I'm an enthusiastic M.Tech candidate in Geoinformatics at NIT, deeply committed to mastering the complexities of geospatial data.
- π Proficient in geospatial data visualization, manipulation, and advanced spatial analysis.
- π Skilled in applying data science methodologies to unveil hidden patterns and empower data-driven decision-making.
- π€ I'm a keen learner in the realms of machine learning, deep learning, and AI, utilizing predictive modeling to unlock profound insights within spatial data.
As part of my academic journey, I recently completed an enriching internship at the prestigious Indian Institute of Technology Roorkee (July 2023 β Sep 2023). During this transformative experience, I worked on an intriguing project:
Project Title: Modeling daily streamflow in the Sunkoshi River basin by LSTM, GRU, XGBOOST, and RFR.
Project Description: A comparative analysis between 4 models with different input combinations. Results showed that XGBoost outperformed all other models, including neural networks.
My career aspirations revolve around roles in data science and analysis, with a particular focus on deep learning and its applications in the geospatial domain. I'm committed to contributing my skills and expertise to:
- π Data Scientist: Harnessing data-driven insights to make informed decisions that drive innovation and business growth.
- π Data Analyst: Meticulously dissecting data to uncover valuable insights and provide a foundation for strategic choices.
- π§ Deep Learning Specialist: Applying advanced deep learning techniques to tackle complex spatial challenges and enrich the world of geoinformatics.
- π Python
- π½ SQL
- Linear Regression
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- K-Means Clustering
- Principal Component Analysis (PCA)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Long Short-Term Memory (LSTM)
- Gated Recurrent Unit (GRU)
- π Data Analytics using Excel
- πΌ Pandas
- π’ Numpy
- π ArcGIS
- πΊοΈ QGIS
- π Google Earth Engine
- ποΈ AutoCAD
- π’ REVIT Architecture
I'm always excited to connect with fellow data enthusiasts and spatial thinkers. Please feel free to reach out to me through:
- π§ Email: gpradeep98@gmail.com
- πΌ LinkedIn: www.linkedin.com/in/gpradeepnitk
As I continue to pave my way in the realm of data science, with a particular focus on deep learning, I am relentlessly mapping the future with data itself. Join me on this exhilarating journey, where we explore the world of data, uncover hidden insights, and make a positive impact on our planet.
Let's embark on this data-driven voyage together! ππππ§