Curriculum Vitae
Competencies
- 3.8+ years Industry experience with over 3.3+ years spent with advanced data insights and analytics.
- Ability to work with Product and growth managers to capitalize growth opportunities by gaining visibility into audience behavior .
- Ability to quickly understand business problems and drive solutions by cross functional team collaboration .
- Have the ability to communicate sophisticated technical issues simply and convincingly to wide range of audiences.
- Ability to distill customer use case cases and requirements, write comprehensive business cases and execute on them.
- Self-starter who can provide insights and drive results in a dynamic and fast evolving environment .
- Experience with relational databases utilizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
- Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data
- Be comfortable with diving into new code , learning from exisitng examples, learning new tools & technologies to make the work & process efficient .
- Strong work ethic and business acumen.
- Great organizational and communicational skills with attention to detail.
- Knowledge on Data Science & Machine Learning Platforms.
- Commited to life long learning .
Techniques
Language
Python
Dart
SQL
R
Web Development
HTML
CSS
jQuery
Data Ingestion & Manipulation
Pandas
Numpy
SQLAlchemy
Data Vizualization
Matplotlib
Seaborn
Plotly
Dimensionality Reduction
PCA (sklearn)
Machine Learning
Scikit-learn
Nltk
Pycaret
Deep Learning
Keras
Tensorflow
Pytorch
Statistical & Other Lib
Statsmodels
Scipy.stats
Language
Python
Dart
SQL
R
Web Development
HTML
CSS
jQuery
Data Ingestion & Manipulation
Pandas
Numpy
SQLAlchemy
Data Vizualization
Matplotlib
Seaborn
Plotly
Dimensionality Reduction
PCA (sklearn)
Machine Learning
Scikit-learn
Nltk
Pycaret
Deep Learning
Keras
Tensorflow
Pytorch
Statistical & Other Lib
Statsmodels
Scipy.stats