Yogesh

Data Science Trainer in Bhopal

SQL
Microsoft Power BI Data Analyst
Data Visualization with Python
Big Data Hadoop
Big Data Analytics
Machine Learning with R
Data Science

Location: Bhopal, India
Trainer Since: June, 2018

Trainer profile

Data Science Trainer in Bhopal

About Yogesh

Yogesh is a seasoned professional in the realm of data analysis and visualization. With a remarkable five-year tenure as a proficient Data Analyst and an esteemed Data Science trainer, Yogesh has consistently demonstrated his prowess in unraveling complex datasets and transforming them into actionable insights. His expertise spans many domains, from SQL and Microsoft Power BI to Data Visualization with Python, Big Data Hadoop, Big Data Analytics, and Machine Learning with R.

Yogesh's journey has been marked by an unwavering commitment to understanding the intricacies of data and imparting his knowledge effectively. His training experience of half a decade is a testament to his dedication and ability to convey complex concepts in a simple and engaging manner. Whether it's demystifying the intricacies of SQL databases, harnessing the power of Microsoft Power BI for impactful visualizations, or delving into the depths of Big Data Analytics and Machine Learning, Yogesh's guidance has proven invaluable to countless aspiring data enthusiasts. Embark on a journey of discovery with Yogesh as he combines his extensive skill set with a passion for teaching, paving the way for a deeper understanding of the dynamic world of data science.

Yogesh is a Corporate Trainer For

SQL

Training Since:June, 2018

Microsoft Power BI Data Analyst

Training Since:August, 2018

Data Visualization with Python

Training Since:August, 2018

Big Data Hadoop

Training Since:August, 2018

Big Data Analytics

Training Since:August, 2018

Machine Learning with R

Training Since:August, 2018

Data Science

Training Since:August, 2018

Work Experience

Sr. Data Science Trainer
Education · March, 2019 - present
Roles & Responsibilities
- Develop and update training curricula and materials in line with industry trends and best practices in data science
- Deliver engaging and interactive in-person and virtual training sessions, ensuring participants grasp complex concepts effectively
- Provide hands-on training and practical exercises using relevant data science tools, programming languages, and platforms
- Assess participant's progress and provide constructive feedback to support their learning journey
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence
- Collaborate with the content development team to create new training resources and content
- Conduct workshops, webinars, and seminars to promote data science training programs
- Identify areas of improvement in the training process and implement necessary enhancements
- Support participants in real-world data science projects and encourage a problem-solving mindset
- Maintain a positive and engaging learning environment to maximize participant retention and success
Corporate Trainer
Computer and Information Technology (IT) · August, 2018 - present
Roles & Responsibilities
- Create comprehensive and up-to-date training materials, including presentations, hands-on exercises, and case studies aligned with the latest trends and advancements in data science
- Conduct engaging and interactive training sessions, both in-person and virtually, to impart complex data science concepts effectively to participants with varying levels of expertise
- Provide personalized guidance and mentoring to participants, offering clarity on intricate data science concepts and helping them overcome challenges in their learning journey
- Organize and lead practical workshops, enabling participants to apply theoretical knowledge to real-world scenarios through hands-on coding, data analysis, and machine-learning exercises
- Design assessments and evaluations to measure participants' understanding and progress and deliver constructive feedback to aid continuous improvement in their data science skills
- Stay abreast of the latest developments in data science, machine learning, and artificial intelligence fields, continuously updating training materials and methods to ensure participants are learning the most relevant and cutting-edge concepts
Business Data Analyst
Computer and Information Technology (IT) · November, 2016 - January, 2019
Roles & Responsibilities
- Extracted data from multiple data sources and wrote Python scripts to scrape data and images from ecommerce websites
- Perform Data Profiling, pipelining, and Data Mining, validating and analyzing data (Exploratory analysis / Statistical analysis) and generating reports
- Created reports and dashboards by connecting multiple data sources to help track user trends, behavior, engagement, and performance. Effectively communicate the finding to stakeholders and accelerate marketing goals
- Provided strategic, analytical, and technical support for the Business Intelligence activities of the team
- Used POWER BI, Power BI Admin, SQL, Python, Excel, and other tools to create reports and develop practical solutions to operations, engineering, and sales challenges
Data Management Executive
Computer and Information Technology (IT) · November, 2014 - August, 2016
Roles & Responsibilities
- Utilized Microsoft Excel to create visually engaging and insightful data visualizations, such as charts, graphs, and pivot tables, to facilitate effective data analysis and decision-making processes
- Compiled and organized large volumes of data, ensuring accuracy and consistency, before computer entry, by utilizing sorting and filtering functions within Microsoft Excel
- Prepared and transformed raw data into structured formats using Microsoft Excel's data manipulation features, contributing to improved data quality and integrity for subsequent processing
- Collaborated with cross-functional teams to update and maintain client databases and computer systems, regularly inputting and validating data entries using Microsoft Excel to ensure up-to-date and accurate information
- Assisted in identifying and resolving data discrepancies, utilizing Microsoft Excel's data validation and conditional formatting capabilities to highlight and rectify errors within the datasets
- Generated comprehensive reports and summaries using Microsoft Excel, effectively communicating data-driven insights to stakeholders, supporting informed business decisions, and enhancing overall organizational efficiency