I worked as a Machine Learning engineer in Infosys for 2 years. I prefer teaching and sharing knowledge to others. I try to teach with examples and solve problems so that one can understand the in-depth knowledge of the topic. I can help with assessments and try to clear doubts about other computer science subjects. I am flexible at any time. I have a good sense of knowledge in python and AI-related topics like machine learning, Deep Learning. I also give assessments daily for a better understanding of the topic.
Below are the skills that I am proficient in.
Skills:
1. Python programming - From basics like data types, conditional statements, loops, and libraries like pandas, numpy, scikit-learn, and Tensorflow with problem-solving.
2. SQL - SQL queries with basic level to expert level and their implementation, Normalization.
3. Machine Learning - Basics to Algorithms implementation. A better understanding of regression, classification topics, bagging, clustering, and boosting models. The Algorithms implementation using python.
4. Natural Language Processing - Topics covered Preprocessing, Words to vector conversions, POS taggings, and Sentimental Analysis.
Subjects
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Deep learning with Python programming Beginner-Intermediate
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Python 3 Beginner-Expert
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SQL Queries Beginner-Expert
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Statistical inference and machine learning Beginner-Intermediate
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NumPy, Pandas and Matplotlib Beginner-Expert
Experience
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Assistant (Jun, 2018
–Dec, 2018) at GMRIT
I worked as an assistant to juniors and taught programming and helped to solve queries.