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D
Dileep Puvvula
Data Scientist
Profile
About you
Summary
Experienced data professional with a strong background in data science and hardware robotics.s solutions.
Total work experience
3-5 yrs
I can work legally in
India
Availability
not added
Current work sector
Technology(Other)
Languages
English (US)(Fluent)
Hyderabad, Andhra Pradesh, India
Education
3 or 4 yr. Undergraduate degree of Electronics & Communications, INDIAN INSTITUTE OF INFORMATION TECHNOLOGY SRI CITY – Chittoor, India
Chittoor
Work experience
Data Science Consultant II, Ernst & Young LLP
2022 - Present
Systems Engineer, Infosys Ltd
2021 - 2022
Robotics and System Engineer , Fermedicius Labs
2019 - 2021
Workplace preferences
Not added
Ideal job
Desired job title
not added
Position type
not added
Travel
not added
Relocation
not added
Kaggle profile
Not added
Skills
Personal data
For how many years have you been writing code and/or programming?
5 years
For how many years have you used machine learning methods?
3 years
Have you ever published any academic research (papers, preprints, conference proceedings, etc)?
No
Select the title most similar to your current role (or most recent title if retired)
Data Scientist
Select any activities that make up an important part of your role at work: (Select all that apply)
- Analyze, understand and visualize data to influence product or business decisions
- Build and/or run the data infrastructure that my business uses for storing, analyzing, and operationalizing data
- Build prototypes to explore applying machine learning to new areas
- Build and/or run a machine learning service that operationally improves my product or workflows
- Experimentation and iteration to improve existing ML models
Approximately how much money have you spent on machine learning and/or cloud computing services at home or at work in the past 5 years (approximate $USD)?
$1000-$9,999
Approximately how many times have you used a TPU (tensor processing unit)?
Never
What is the size of the company where you are employed?
1000-9,999 employees
Approximately how many individuals are responsible for data science workloads at your place of business?
3-4
Technical skills
Programming languages
Python
SQL
C
C++
C#
ML algorithms
Linear or Logistic Regression
Decision Trees or Random Forests
Gradient Boosting Machines (xgboost, lightgbm, etc)
Bayesian Approaches
Evolutionary Approaches
Dense Neural Networks (MLPs, etc)
Convolutional Neural Networks
ML frameworks
Scikit-learn
TensorFlow
Xgboost
Production-Grade ML
Deploying new models to production
AB testing
On-policy vs Off-policy model training
Model testing
Handling of incidents in production
Investigation of production incidents and Root Cause Analysis
ML OPS best practices
Distributed training
Feedback discussions with end users of the ML systems
Industry experience
Finance and Banking
Churn prediction
Technology and Information Services
Data analytics
Retail and E-commerce
Demand forecasting
Manufacturing and Industrial Automation
Predictive maintenance
Supply chain optimization
Automation of manufacturing processes