Chirantan

Power BI Trainer in Mumbai

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

Trainer profile

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