I am a highly motivated Machine Learning Engineer with 4 years of experience. I can work in the following technologies:
Data Insights
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1) Exploratory Data Analysis
2) Data Cleaning, Data Wrangling, Data Scrapping
3) Feature Engineering
4) Statistical Analysis
5) Data Visualization
Machine Learning
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1) SVM
2) KNN
3) Neural Networks
4) Linear and Polynomial Regression
5) Decision Trees, Random Forest, Ensemble Learning
6) K-Means Clustering, K-Medoid Clustering
7) Bagging, Boosting
8) Dimensionality Reduction using PCA, SVD, etc.
Deep Learning
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1) Deep Neural Network
2) Convolutional Neural Network (CNN)
3) Siamese Network for Oneshot and Fewshot learning
4) Recurrent Neural Network (RNN)
5) LSTM, GRU
6) GAN
7) GPT, GPT2
Natural Language Processing
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1) tf-idf
2) Fuzzywuzzy
3) N-Grams
4) RNN, LSTM, etc.
5) Encoder-Decoder Variants
6) Attention Models
7) Transformers, Multihead attention
8) BERT, BART, BigBird
Other
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1) Python
2) tkinter, PyQT
3) Numpy, Pandas
4) Scikit-Learn
5) Scikit-Image, PIL, CV2
6) SQL
7) Mysql, Sqlite, MongoDB, MS Sql Server
8) Unix/Linux, Bash
9) FastAPI
10) Django, Flask
11) Tensorflow, Keras, PyTorch
12) git
13) HTML, CSS, JavaScript
14) Social Network Analysis ([login to view URL]) & NetworkX
15) Matlab
16) AWS, Azure, GCP
17) Automation, Cron Jobs
18) SEO
19) HuggingFace Models
20) Time Series Analysis (InfluxDB, Prophet, ARIMA)
Customer satisfaction is my priority. Feel free to drop me a line, and we can chat further.