I am a resourceful and highly motivated professional with a background in DevOps, Consultancy and development programs. My past experiences have taught me the importance of critical thinking, asking thoughtful questions and working with intentionality. My quality-driven mindset, along with my curiosity and natural affinity for iterative, experimental processes, makes me well-suited for data science!
I am passionate about using AI to find efficient, elegant solutions to complex problems and to improve upon existing processes. To this end, I have completed multiple end-to-end projects. Recently, I completed my Post-Grad Diploma in Applied Machine Learning and currently exploring opportunities in the Data Science & Machine Learning Domain problems.
My expertise includes
- Knowledgable in Python, SQL
- Knowledgable in Data Analysis - NumPy, Pandas, Matplotlib, Seaborn, Clustering Techniques, PCA, t-SNE, UMAP
- Classical machine learning algorithms - Standard sklearn, XGBoost, LightBoost.
- Deep Learning knowledge: Computer Vision, Convolutional Neural Networks, Generative Adversarial Networks, Natural Language Processing (NLTK, TD-IDF, n-grams, Bag of Words), Bert
- AutoML & TensorFlow Extended for production/large-scale ML and Data pipeline management framework in research and applied projects.
DevOps Experience:
- Experienced with Terraform practices.
- Experience with the production environment, participated in critical business tasks such as product support, incident management, infrastructure automation & maintenance, technical documentation (Github, JIRA & Confluence), performing production PIR (Post Incident Review)
- Ability to use scripting to automate infrastructure tasks utilizing BASH and Python.
- Used AWS in day-to-day activity utilizing services like EC2, IAM, S3, R53, Cloudwatch, RDS with security best practices.
- Having Knowledge of integrating monitoring tools like Nagios and Splunk.
👔 Website
📍 Ahmedabad, Gujarat, India