Skills
- Programming Languages: Python, C, Java
- Libraries/Frameworks: Pandas, TensorFlow, Scikit-Learn, Keras, Matplotlib, Seaborn
Tools
- Database : MySQL, PostgreSQL, BigQuery
- Tools/Platforms: GCP, Azure, Excel, Linux, Git, Docker, Kubernetes, Kubeflow, Jenkins
Software
Jupyter, VS Code, Microsoft OfficeAbout me
Hello, This is Nikhileswar Komati, With a strong background in Machine Learning and Data Engineering, I'm an experienced MLOps Engineer driven by my passion for data science, Currently working at @TCS.
While I'm trying to learn new skills related to ML, If you are someone with the same interests and are looking for partners to learn together, I would be glad to connect with you on Linkedin.
At present, I am actively seeking new employment opportunities in data science to apply my skills and make a significant impact.
Work Experience
- Spearheaded a team of 4 members in creating a Deep Learning model that identifies real-life violence in videos.
- Achieved a state-of-the-art accuracy of 95% with the model compared to the 88.2% accurate model proposed by the dataset creators.
Coding Profiles
Projects and Publication
- BERT, XGBoost were trained on multi-node clusters. The model was deployed using Flask and tweepy was used to extract tweets in real-time
- Dataset was created from 'Reddit' using Pushshift API
- A multi-purpose application to predict the personality of a candidate based on CV and rank them based on their skills.
- Logistic regression was used to predict the personalities while a resume parser was used to identify skills from uploaded CV's and rank them