Chirantan

Power BI Trainer in Mumbai

Location

Mumbai, India

Trainer Since

January, 2017

Machine Learning

Data Visualization with Python

Data Science with Python

SQL

Power BI

Tableau

Data Analytics

Data Mining

Location

Mumbai, India

Trainer Since

January, 2017

Machine Learning

Data Visualization with Python

Data Science with Python

SQL

Power BI

Tableau

Data Analytics

Data Mining

Chirantan

Power BI Trainer in Mumbai

About Chirantan

Chirantan is a seasoned Data Scientist and Data Science Trainer with an extensive background in machine learning, data visualization with Python, data science with Python, SQL, and various other data-related domains. With over 6 years of professional experience spanning across diverse industries such as Healthcare, Education, Finance, and Banking, Chirantan has established himself as a trusted authority in data analytics. His expertise encompasses machine learning, statistical analysis, data visualization, data modeling, SQL, and statistics.

In addition to his proficiency in core data science disciplines, Chirantan possesses a comprehensive grasp of cutting-edge technologies and tools such as Airflow, Docker, AWS, GCP, Tableau, Power BI, and Python. His multi-faceted skill set enables him to offer invaluable insights into data analytics. It empowers individuals and organizations to harness the full potential of their data resources. Whether developing predictive models, optimizing data workflows, or crafting compelling data-driven narratives, Chirantan is the go-to expert for unlocking the transformative power of data in today's data-driven landscape.

Chirantan is a Corporate Trainer For

Machine Learning

Training Since:

July, 2019

Data Visualization with Python

Training Since:

July, 2019

Data Science with Python

Training Since:

July, 2019

SQL

Training Since:

January, 2017

Power BI

Training Since:

February, 2017

Tableau

Training Since:

June, 2018

Data Analytics

Training Since:

August, 2017

Data Mining

Training Since:

July, 2019

Work Experience

Corporate Trainer

Computer and Information Technology (IT):

July, 2019 - present

Roles & Responsibilities

Conducted in-depth training sessions, workshops, and seminars on machine learning, data visualization with Python, data science with Python, SQL, and various other data-related domains. Ensured that training materials were up-to-date and relevant
Tailored training curricula to meet the specific needs of diverse corporate clients. Designed and developed course materials, including presentations, hands-on exercises, and assessments
Provided hands-on guidance and practical exercises to help participants grasp complex concepts. Encouraged active participation and fostered a collaborative learning environment
Designed and administered assessments and quizzes to gauge participants' understanding of the subject matter. Monitored participants' progress and provided feedback for continuous improvement
Offered technical assistance and troubleshooting guidance to participants encountering challenges with machine learning, data visualization with Python, data science with Python, SQL, and related tools and technologies
Continuously updated personal knowledge in machine learning, data visualization, data science, SQL, and related areas. The latest industry trends and best practices were incorporated into training programs to ensure participants received the most relevant and current information

Data Scientist

Computer and Information Technology (IT):

March, 2022 - September, 2022

Roles & Responsibilities

Created and maintained complex statistical models to analyze historical financial data, identifying key drivers of branch profitability and delivering actionable insights to optimize branch operations
Utilized machine learning algorithms to build attrition prediction models, leveraging customer behavior and demographic data to identify high-risk segments and recommend retention strategies that reduced customer churn
Developed advanced risk assessment models, incorporating historical transactional data and external economic indicators, which improved decision-making processes and reduced the likelihood of loan defaults and financial losses
Performed data preprocessing tasks such as data cleaning, feature engineering, and data transformation to ensure the accuracy and reliability of the datasets used in modeling
Collaborated closely with cross-functional teams, including business analysts, finance professionals, and IT experts, to gather domain-specific insights, align modeling strategies with business goals, and deploy models into operational systems
Monitored the performance of predictive models, fine-tuning algorithms and recalibrating models regularly to ensure they remain accurate and relevant in dynamic business environments

Data Scientist

Computer and Information Technology (IT):

December, 2021 - March, 2022

Roles & Responsibilities

Constructed and fine-tuned propensity models to predict the likelihood of personal loan cross-sell opportunities. These models leveraged statistical and machine-learning techniques to optimize accuracy
Employed Python as the primary programming language for data preprocessing, feature engineering, model development, and evaluation. Python libraries such as NumPy, pandas, and sci-kit-learn were instrumental in this process
Made extensive use of Azure Synapse, a powerful data analytics platform, to efficiently extract, transform, and load (ETL) data. This involved building and maintaining data pipelines for seamless data integration
Collaborated on a Dedicated SQL pool (formerly SQL Data Warehouse) for querying and analyzing large datasets. Ensured data integrity and accuracy throughout the SQL querying and reporting process
Conducted rigorous model evaluation and validation, employing cross-validation and hyperparameter tuning techniques to ensure the models delivered robust and accurate results
Collaborated effectively with cross-functional teams, including data engineers, business analysts, and stakeholders, to translate analytical insights into actionable business recommendations, contributing to successfully implementing data-driven strategies

Business Development Analyst

Computer and Information Technology (IT):

October, 2017 - January, 2019

Roles & Responsibilities

Oversaw and maintained relationships with existing clients, ensuring their network infrastructure needs were met efficiently and effectively
Identified and established relationships with prospective clients, resulting in the acquisition of new network service contracts and business opportunities
Organized and managed daily work schedules for the network team, optimizing productivity and ensuring timely service delivery
Gathered and analyzed marketplace information, including competitor pricing, product offerings, and service schedules, to stay informed and provide strategic insights to the organization
Collaborated with the network team to develop creative and efficient solutions for complex networking challenges, enhancing overall service quality
Prepared detailed reports on network performance, market trends, and client satisfaction, offering strategic recommendations to senior management for continuous improvement and growth

Skills

Python

Education

Mumbai University

Electronics and Telecommunication :

2011-2016

ISME<, Mumbai

Data Science:

2019-2021

Projects

Posts

Courses

Machine Learning

Data Visualization with Python

Data Science with Python

SQL

Power BI

Tableau

Data Analytics

Data Mining

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Chirantan

Power BI Trainer in Mumbai

About Chirantan

Chirantan is a Corporate Trainer For

Machine Learning

Data Visualization with Python

Data Science with Python

SQL

Power BI

Tableau

Data Analytics

Data Mining

Work Experience

Corporate Trainer

Roles & Responsibilities

Data Scientist

Roles & Responsibilities

Data Scientist

Roles & Responsibilities

Business Development Analyst

Roles & Responsibilities

Skills

Education

Mumbai University

ISME<, Mumbai

Projects

Posts

Courses

Want Chirantan for your Next Training?

Other Trainers

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