Description
A passionate learner, with 6.8 years of professional experience in IT analytics along
with 1.5 years of experience in data science and engineering. Predictive modeling,
data processing, data mining are my work of expertise using machine learning &
other traditional techniques. An enthusiastic team builder, Interested towards
solving real world problems using various AI technologies with a can do attitude and
focus.
- Completed twelve months program on applied AI with more than 30
assignments and real world case studies on machine learning and deep
learning algorithms.
- Developed ML & DL models on publicly available data sets to solve few real
world problems like :
- Predict if the driver is going to initiate an auto insurance claim in
the next year based on the existing data collected by one of the
Brazil’s largest auto and homeowner insurance companies using XG
Boost, Random forest, Light GBM algorithms.
- A research work to Identify bird species from large audio data which
is a multiclass (264) classification problem using deep learning
algorithms like CNN.
- Published few articles on social publishing platform regarding the
real world problem solved. Provided detailed analysis on GitHub
and Medium.
- Implemented sequence to sequence encoder-decoder architecture with
various attention mechanisms to translate Italian to English language.
- Involved in freelancing to implement and learn data science through
various worldwide business problems like a research work related
- Skills:
- Data Analysis
- Visualization
- Python
- ML Algorithms
- SQL
- CONCEPTS & LIBRARIES
- PyTorch • Keras • TensorFlow
- Matplotlib • Seaborn • Plotly
- Numpy • Scikit-learn • Pandas
- OpenCV • Librosa • GCP • AWS
