Phani Srikanth
Principal Scientist & Director of Applied AI at NetApp
- Role
- Principal Scientist & Director of Applied Ai at NetApp
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Phani Srikanth
To recruiters, I am not open to any new opportunities right now. If you\'d like to reach out to talented data scientists in India in my network, please send an InMail. Expect an SLA of a week. Thank you.**I\'m currently an Applied Scientist at NetApp focusing on infusing ML/AI into NetApp products to improve customer experience. Previously, I built ML systems and led ML teams at Microsoft India and USA in endpoint/web/email security.Apart from my professional work, I\'ve also:• Won multiple Machine Learning challenges on image classification, recommendation engines, fraud detection, target marketing, text extraction, text classification and other data science and modelling challenges. Approaches and source code are on GitHub.• Best Ranked 4th out of all registered participants among India’s largest Data Science community - Analytics Vidhya.• Delivered live-coding sessions on building Recommendations Engines using Keras and PyTorch in India’s leading AI and Machine Learning conferences.• Received Gold Medal from my university for publishing papers on ML in International Conferences during Undergraduation.My Blog: https://medium.com/@phanisrikanth33My GitHub profile: https://github.com/bingaMy Kaggle profile: Twitter profile: https://twitter.com/phanisrikanth33My Data Science podcast on YouTube:
Experience
Principal Scientist & Director of Applied Ai
May 2023 — Present · Hyderabad, IN
Education
International School of Engineering (INSOFE)
Big Data Anaytics, Machine Learning & Optimization
Fast.ai
Deep Learning
2017 — 2018
National Institute of Technology Warangal
Bachelor's Degree, Electrical and Electronics Engineering
2008 — 2012
Skills
- Statistics
- Recommendation Engines
- Data Analysis
- Machine Learning
- Deep Learning
- Powerpoint
- C
- Programming
- Statistical Modeling
- Java
- Matlab
- Sql
- Oracle
- Databases
- Google Cloud Platform
- Analytics
- Amazon Web Services (Aws)
- Scala
- Microsoft Office
- Business Intelligence
- Apache Spark
- R
- Python
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