Vivek Bengaluru India

Vivek

Deep Learning Trainer in Bengaluru
Location
Bengaluru, India
Trainer Since
May, 2015
R Programming
Machine Learning
Data Science with Python
Deep Learning
Location
Bengaluru, India
Trainer Since
May, 2015
R Programming
Machine Learning
Data Science with Python
Deep Learning

Deep Learning Trainer in Bengaluru

About Vivek

Vivek is a highly skilled professional with extensive experience in Big Data Analytics and Optimization. His expertise in this field showcases a deep understanding of data analysis, statistical modeling, and optimization techniques. With a specialization in Big Data Analytics, he has successfully worked on complex data sets, extracting valuable insights and driving data-driven decision-making. He is proficient in utilizing various tools and technologies to process and analyze large volumes of data, including Hadoop, Spark, and SQL. He is adept at designing and implementing data pipelines, performing data cleansing and transformation, and applying advanced analytical algorithms to extract meaningful patterns and trends.

As a Senior Data Science Trainer, he has a proven track record of delivering high-quality training programs in the field of data science. He possesses excellent teaching and communication skills, enabling him to effectively convey complex concepts to learners. He excels at creating interactive and engaging training sessions, incorporating hands-on exercises and real-world examples to facilitate effective learning experiences. In addition to his training expertise, He has experience in curriculum development. He has contributed to designing comprehensive training curricula that cover a wide range of data science topics, including statistical analysis, machine learning, predictive modeling, and optimization techniques. He stays up to date with the latest advancements in the field of data science and incorporates relevant topics and tools into his training materials.

Throughout his career, he has successfully trained professionals in various industries, equipping them with the skills and knowledge required to leverage data for business insights and decision-making. His ability to simplify complex concepts, combined with his practical experience in Big Data Analytics and Optimization, has contributed to the success of his training programs.

In summary, His experience in Big Data Analytics and Optimization, coupled with his expertise as a Senior Data Science Trainer, makes him a valuable professional in the field of data science education. His proficiency in data analysis, strong training skills, and commitment to staying updated with emerging trends make him an asset in equipping individuals with the necessary skills to succeed in the world of data science.

Vivek is a Corporate Trainer For

R Programming

Training Since:
May, 2015

Machine Learning

Training Since:
May, 2015

Data Science with Python

Training Since:
July, 2015

Deep Learning

Training Since:
May, 2015

Work Experience

Senior Data Scientist

Computer and Information Technology (IT):
October, 2021 - present

Roles & Responsibilities

  • Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems and uncover hidden patterns and insights in large datasets
  • Collaborate with cross-functional teams, including business stakeholders and data engineers, to identify business requirements, define project goals, and develop data-driven solutions
  • Apply data visualization techniques to effectively communicate findings and insights to both technical and non-technical stakeholders.Lead end-to-end data science projects, from data exploration and preprocessing to model development, validation, and deployment
  • Lead and mentor junior team members and provide guidance and support, helping their team members develop their technical skills and problem-solving abilities and promote a collaborative and innovative work culture, foster knowledge sharing, and stay up to date with emerging trends and advancements in the field of data science
  • Expertise in various machine learning techniques and frameworks, allowing them to develop robust and accurate models. They work closely with software engineers and data engineers to deploy models into production environments and monitor their performance over time

Data Scientist

Energy and Power:
February, 2019 - November, 2019

Roles & Responsibilities

  • Developed and implemented software applications and tools to extract, transform, and load large volumes of data for analysis and modeling purposes
  • Utilized my strong background in computer science to design and implement efficient algorithms for data processing and analysis, enabling faster and more accurate insights
  • Conducted extensive data mining and exploration, identifying patterns, trends, and correlations within complex datasets and translating them into actionable recommendations
  • Applied statistical modeling techniques to create predictive models and algorithms, enabling the extraction of valuable insights and forecasting future outcomes
  • Employed data analysis methods and statistical tools to identify and interpret key variables and factors influencing business performance, driving informed decision-making
  • TensorFlow and other machine learning frameworks were used to develop and train predictive models, optimizing their accuracy and performance for various applications and scenarios

Senior Data Scientist

Computer and Information Technology (IT):
November, 2019 - October, 2021

Roles & Responsibilities

  • Lead end-to-end data science projects, from data exploration and preprocessing to model development, validation, and deployment
  • Identify opportunities for process improvement and optimization through the use of data analytics and predictive modeling
  • Stay up to date with the latest advancements in data science techniques, tools, and technologies, and contribute to the development of best practices within the data science team
  • Mentor and provide guidance to junior data scientists, promoting knowledge sharing and fostering a culture of continuous learning and development
  • Contribute to data strategy development, working closely with data engineering teams to ensure the availability and quality of data for analysis

Skills

R
Python
Java
JMP
Tableau
ANN
CNN
RNN
RCNN
UNet
LSTM
AlexNet
ResNet
VGG
Inception
YOLO
Computer Vision Libraries and Techniques
NLP
JMP
Tableau GCP
Azure
AWS
MLFlow
SQL
Leadership Skills
Team Management Skills
Negotiation Skills

Education

Big Data Analytics and Optimization

Computer Science :
2015-2017

B Tech

Computer Science :
2011-2014

Projects

Posts

Courses

R Programming
Machine Learning
Data Science with Python
Deep Learning

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