基本信息
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职业迁徙
个人简介
Core Competencies:
- Proficient at building robust Machine Learning, Deep Learning models and LSTM using relevant
machine-learning frameworks (PyTorch and Tensorflow)
- Strong familiarity in working with various statistical concepts and probability theories like Python,
Gaussian Mixture Models, and Hidden Markov Models and tools such as Hypothesis Testing, t‐Test,
and Chi‐Square Test, ANOVA, Statistical Process Control, Control Charts, Regression models,
Bootstrapping, Descriptive Statistics and Correlation Techniques
- Demonstrated programming skills in Python, C, C++, C#, Java and some other Programming
Languages
- Packages/Libraries: Scikit‐Learn, NumPy, SciPy, Pandas, NLTK
- Hands-on experience in Data Manipulation, Statistical Modeling, Clustering & Classification, Data
Analytics, Data Mining
- Visual design skills and experience in UI development, Visual Studio, VS Code and SQL Server
- Quick learner with analytical thinking skills and effective communication as a team member
研究兴趣
论文共 8 篇作者统计合作学者相似作者
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期刊级别
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合作机构
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)
B. Barla Cambazoglu, Valeria Bolotova-Baranova,Falk Scholer,Mark Sanderson,Leila Tavakoli,W. Bruce Croft
作者统计
合作学者
合作机构
D-Core
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- 学生
- 导师
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