Sadhna Noida India

Sadhna

Data Science Trainer in Noida
Location
Noida, India
Trainer Since
September, 2017
Text Classification with Machine Learning
Data Science
Python
Location
Noida, India
Trainer Since
September, 2017
Text Classification with Machine Learning
Data Science
Python

Data Science Trainer in Noida

About Sadhna

Meet Sadhna, a dynamic professional with over 5 years of enriching experience as a Corporate Trainer, specializing in the fascinating realms of Text Classification and Machine Learning within the field of Data Science, with a strong proficiency in Python.

Sadhna's journey in the corporate training arena has been marked by a profound passion for imparting knowledge and fostering innovation. With a keen focus on Text Classification, she has honed her expertise in the art and science of categorizing and organizing textual data, a skill set that is indispensable in the ever-evolving landscape of data-driven decision-making.

Sadhna's prowess in Machine Learning has equipped her with the tools to decode complex data patterns, enabling organizations to harness the power of data effectively. Her ability to demystify the intricacies of Machine Learning methodologies has empowered countless professionals to harness the transformative potential of this cutting-edge technology.

Python, as a versatile programming language, has been Sadhna's canvas for building data-driven solutions, and her proficiency in it serves as a catalyst in her training programs, making them accessible and impactful for her learners.

In an era where data is often referred to as the new currency, Sadhna's expertise in Text Classification, Machine Learning, and Python is a beacon guiding individuals and organizations towards data-driven success, solidifying her reputation as a prominent figure in the world of corporate training and data science.

Sadhna is a Corporate Trainer For

Text Classification with Machine Learning

Training Since:
September, 2017

Data Science

Training Since:
September, 2017

Python

Training Since:
September, 2017

Work Experience

Tech Lead AI ML

Healthcare:
December, 2022 - present

Roles & Responsibilities

  • Led AI/ML projects, providing technical direction and guidance to a team of data scientists and engineers.
  • Collaborated with the team to design, develop, and implement advanced AI/ML algorithms and models for solving complex problems.
  • Stayed updated with the latest advancements in AI/ML, conducted research to explore new techniques, and applied innovative solutions to real-world challenges.
  • Ensured the quality and accuracy of AI/ML models through rigorous testing, validation, and performance optimization.
  • Collaborated with cross-functional teams, including product managers and stakeholders, to align AI/ML initiatives with business goals and objectives, delivering AI-powered solutions that added value to the organization.

Data Scientist

Computer and Information Technology (IT):
October, 2021 - December, 2022

Roles & Responsibilities

  • Conducted in-depth analysis of data sets using statistical techniques, machine learning algorithms, and data visualization tools to extract meaningful insights and patterns.
  • Developed and trained machine learning models for predictive analytics, classification, and clustering, contributing to data-driven decision-making processes.
  • Cleaned, transformed, and prepared raw data for analysis, ensuring data quality and integrity throughout the data science pipeline.
  • Effectively communicated findings and insights to non-technical stakeholders through reports, presentations, and data visualizations, enabling informed decision-making.
  • Stayed updated with the latest trends and advancements in data science, regularly expanding knowledge and skill sets to adapt to evolving data challenges and opportunities.

Lead ML Engineer

Computer and Information Technology (IT):
July, 2020 - September, 2021

Roles & Responsibilities

  • Led a team of machine learning engineers and data scientists, providing technical guidance and mentorship to ensure the successful execution of complex projects
  • Developed and implemented machine learning models and algorithms, leveraging a deep understanding of data preprocessing, feature engineering, and model evaluation to solve real-world problems
  • Collaborated closely with cross-functional teams, including software engineers, product managers, and domain experts, to define project requirements, prioritize tasks, and deliver machine learning solutions aligned with business objectives
  • Conducted in-depth analysis of large datasets, using statistical techniques and data visualization tools to gain insights and inform the development of data-driven strategies
  • Played a key role in researching and staying up-to-date with the latest advancements in machine learning, identifying opportunities to integrate cutting-edge technologies and techniques into existing projects
  • Ensured the scalability, reliability, and maintainability of machine learning systems by implementing best practices in code development, version control, and deployment pipelines, while also addressing performance bottlenecks and optimizing computational resources

Data Scientist

Computer and Information Technology (IT):
June, 2018 - June, 2020

Roles & Responsibilities

  • Conducted thorough data analysis by cleaning, preprocessing, and transforming large datasets to extract meaningful insights and identify trends
  • Developed machine learning and statistical models, applying algorithms to predict outcomes, optimize processes, and solve complex business problems
  • Created informative data visualizations using tools like matplotlib, seaborn, or Tableau to communicate findings effectively to non-technical stakeholders
  • Engineered relevant features and variables to enhance model performance and accuracy, leveraging domain knowledge and statistical techniques
  • Designed and executed A/B tests to evaluate the impact of changes in products or strategies, providing actionable recommendations based on the results
  • Collaborated closely with cross-functional teams, including engineers, product managers, and business analysts, to align data-driven insights with organizational goals and drive data-driven decision-making

Corporate Trainer

Computer and Information Technology (IT):
September, 2017 - present

Roles & Responsibilities

  • The Corporate Technical Trainer is responsible for creating and updating training materials, including manuals, presentations, and online resources, to ensure they align with the latest industry standards and company-specific technology
  • They deliver technical training sessions to employees and stakeholders, both in-person and virtually, ensuring that participants acquire the necessary skills and knowledge to perform their job roles effectively
  • Tailoring training programs to meet the specific needs of different departments and teams within the organization is a key responsibility. This involves adapting content and delivery methods to address varying technical aptitudes and job requirements
  • Regularly assessing the effectiveness of training programs through quizzes, evaluations, and feedback mechanisms to identify areas for improvement and adjust training strategies accordingly
  • Keeping up-to-date with the latest industry trends and technological advancements is crucial. Corporate Technical Trainers must continually expand their own knowledge to ensure the training they provide is current and relevant
  •  Working closely with subject matter experts and department heads to understand the specific technical needs of the organization, gather input on training content, and align training initiatives with overall business goals

Skills

Python
Machine Learning
LLM
Rasa
Chatbot
GCP
Aws

Education

UP Tech Lucknow

Computer Science :
2008-2011

Projects

MCCB CHATBOT

Healthcare:
January 2023 - currently working

Posts

MCCB CHATBOT

Healthcare:
January 2023 - currently working

Courses

Text Classification with Machine Learning
Data Science
Python

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