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Krishnendu Chakraborty Email & Phone Number
Data Analyst 2
at
S&P Global
LinkedIn matched
✓ Verified Jun 2026
3 data sources
Profile completeness 100%
Current company
Role
Data Analyst 2
Location
Bengaluru, Karnataka, India
Company size
Who is Krishnendu Chakraborty? Overview
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Quick answer
Krishnendu Chakraborty is listed as Data Analyst 2 at S&P Global, a company with 16 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Krishnendu Chakraborty.
Krishnendu Chakraborty previously worked as Data Analyst at Kpmg and Data Analyst & ETL Developer at Bandhan Bank. Krishnendu Chakraborty holds Bachelor Of Technology - Btech, Computer Science & Engineering from Institute Of Engineering And Management.
Company email context
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S&P Global
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Profile bio
About Krishnendu Chakraborty
Professional Overview:As a dedicated data professional with over 4+ years of experience, I specialize in delivering data-driven insights across Consulting, Banking & Financial Services(BFSI), and Product domains. Currently, I excel as a Data Analyst 2 at S&P Global, where I drive business success through strategic data analysis.At KPMG, I made significant contributions in Data analytics domain, collaborating with the KPMG Netherlands consulting team. Prior to this, I was an integral part of the Data Analytics team at Bandhan Bank (Head Office), one of India's fastest-growing captive financial firms.With a robust background in data analytics, engineering, and business intelligence, I am adept at providing actionable insights and driving strategic decisions.Key Skills:- Data Analysis: Python, SQL, Advanced Excel. - Cloud Services: AWS S3, AWS DynamoDB, AWS Glue, AWS Redshift, AWS Athena, AWS QuickSight. - Data Visualization & BI Tools: Power BI, Tableau, Alteryx. - Version Control: Git, GitLab, GitHub. - Data Management: Data Modeling, Data Warehousing, Data Management, Dashboard Design. - Market & Business Insights: Market Research, Business Research, Product Analytics, Market Analysis, Business Analysis, Product Analysis. - Business & Product Development: Requirement Gathering, Business Strategy, Product Strategy, Business Consulting, Management Consulting.Key Experiences & Achievements:1. Data Analysis & Insights:- Uncover data patterns and extract insights using Python and SQL.- Proficient in advanced statistical analysis and creating visualizations with NumPy, Pandas, Matplotlib, Scikit-learn, and Seaborn.2. Business Analysis & Strategy: - Deep understanding of business processes and requirements. - Provide valuable insights for strategic decision-making.3. Project Management & Automation: - Successfully led multiple projects, improving efficiency by 50% through automation and streamlined operations.4. Data Engineering:- Design and maintain data solutions using AWS technologies like S3, Athena, Redshift, and Glue.5. Business Intelligence:- Combine data insights with business acumen to drive strategic decisions.- Proficient in transforming and visualizing data using Power BI, Tableau, Alteryx, and Excel to create growth-driving dashboards and reports.Let’s Connect:I am eager to explore how my expertise in data can contribute to your organization’s success. Feel free to connect with me here or reach out to me at ikrish.work@gmail.com.
Listed skills include Artificial Neural Networks, Core Java, Algorithm Optimization, R, and 69 others.
Current workplace
Krishnendu Chakraborty's current company
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S&P Global
5 roles
Krishnendu Chakraborty work experience
A career timeline built from the work history available for this profile.
Data Analyst 2
Current**Key Responsibilities:**1.Data Quality Automation: - Automated data quality checks using Python, enhancing product operations by 50%.2.Data Libraries: - Utilized data libraries (NumPy, pandas, matplotlib, scikit-learn, seaborn, Polars) for ETL automation and analytics.3.SQL Proficiency: - Used SQL for data querying, manipulation, and updates, optimizing.
Nov 2022 - Present
Data Analyst
*Consulting Project:**- As an individual collaborator at KPMG Netherlands, I generate business data reports and dashboards for European clients. My versatile skill set includes SQL, Excel, Python (utilizing libraries like NumPy, Pandas, Matplotlib, Scikit-learn, and Seaborn), Power-BI, and Alteryx to drive data analytics solutions.- Responsibilities.
Dec 2021 - Oct 2022
Data Analyst & Etl Developer
**Key Responsibilities:**- Developed and automated over 50+ financial data workflows using Alteryx, streamlining processes across multiple banking projects and saving more than 200+ hours monthly in manual efforts.- Optimized credit risk assessment processes through data-driven insights using Python (NumPy, Pandas) and SQL, enhancing the bank's risk.
Aug 2020 - Dec 2021
Strategic Marketing Consultant
Jul 2020 - Apr 2021
1 education record
Krishnendu Chakraborty education
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Institute Of Engineering And Management
FAQ
Frequently asked questions about Krishnendu Chakraborty
Quick answers generated from the profile data available on this page.
What company does Krishnendu Chakraborty work for?
Krishnendu Chakraborty works for S&P Global.
What is Krishnendu Chakraborty's role at S&P Global?
Krishnendu Chakraborty is listed as Data Analyst 2 at S&P Global.
Where is Krishnendu Chakraborty based?
Krishnendu Chakraborty is based in Bengaluru, Karnataka, India while working with S&P Global.
What companies has Krishnendu Chakraborty worked for?
Krishnendu Chakraborty has worked for S&P Global, Kpmg, Bandhan Bank, and Upwork.
How can I contact Krishnendu Chakraborty?
You can use AeroLeads to view verified contact signals for Krishnendu Chakraborty at S&P Global, including work email, phone, and LinkedIn data when available.
What schools did Krishnendu Chakraborty attend?
Krishnendu Chakraborty holds Bachelor Of Technology - Btech, Computer Science & Engineering from Institute Of Engineering And Management.
What skills is Krishnendu Chakraborty known for?
Krishnendu Chakraborty is listed with skills including Artificial Neural Networks, Core Java, Algorithm Optimization, R, Social Media, Data Warehousing, Amazon Web Services, and Data Science.
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