Data Science Editor
I am responsible for reviewing and editing data science posts, fact-checking the technical information, and finalizing the posts.
Data Science Copywriter
I am writer at DataCamp, Kdnuggets, Analytical Vidhya, Deepnote, Towards Data Science, Towards AI, Geek Culture, and Kaggle
I am experienced in Machine-learning, Data-Analysis, Deep-learning, NLP, Reinforcement-Learning, Transformers, deploying-web-apps, and researching on latest technology related to Ai Advancement.
Hands-on experience on SQL, plotly, matplotlib, ggplot, geopandas, seaborn, and Tableau. Exploratory Data Analysis, Geospatial analysis, and Time-series analysis.
I have worked on multiple machine learning problems, times series, tabular-structure/unstructured-data, NLP, CV, audio, and anomaly detection. I am regularly participating in competitions on Kaggle, Zindi, Driven Data, and DevPost.
Natural Language Processing
Transformers, Machine Language Translation, Automatic speech recognition, text classification, question answering, OCR, text similarity.
Got certification in SQL Data Analysis and Design Databases With PostgreSQL. I have been researching on latest technology such as SQLLEX and DuckDB.
Worked on multiple R projects realted to Data Analysis and simple machine learning tasks. I have published few notebooks on Kaggle and Deepnote for beginners.
Published the work on Tableau public, worked on geospatial analysis and data analysis using visualization and integrate statistic formulas.
Worked on Tensorflow, Pytorch, and Fast.Ai with various models, ANN, RNN, CNN, GRU, BiLSTM, Pretrained NN, GAN, CTGAN, Transformers, TabNet, DAE, and bottleneck.