Shubham Kumar profile photo 1 on Tal

Shubham Kumar

Associate Data Analyst @ Morgan Stanley | Analyzing Data Insights

Mumbai

7+ years of work experience

Morgan Stanley
Feb 20251 yr 6 mosPresent

Mumbai, Maharashtra, India

• Conducted comprehensive data analysis to identify and resolve data gaps, enhancing overall data integrity. • Optimized data flow processes, resulting in a 25% increase in efficiency across multiple projects. • Automated repetitive tasks, significantly reducing manual effort and allowing stakeholders to focus on strategic initiatives.
Morgan Stanley
20251 yr 7 mosPresent

Collaborated closely with product managers to develop and deliver optimal solutions, actively engaging in daily touch-base calls to ensure alignment with project requirements and objectives. Utilized SQL, Python, and ETL tools for efficient data processing, developing data pipelines and tables utilized by both product and technical teams. Leveraged BI tools to generate insightful reports and define key performance indicators (KPIs), enabling informed decision-making and process improvements.
Amazon
Dec 20222 yrs 2 mosJan 2025

Bengaluru, Karnataka, India

Infogain
Jul 20193 yrs 5 mosNov 2022

Mumbai, Maharashtra, India

Infogain
20193 yrs2022

Collaborated effectively with business analysts and quality assurance personnel to ensure the delivery of optimal functionality for projects. Engaged in thorough analysis and understanding of client requirements, maintaining daily touch-base calls for updates and ensuring client satisfaction throughout the project lifecycle. Proficiently worked within a 3-tier architecture framework, developing comprehensive data models for applications using Qlik with adherence to best practices. Demonstrated proficiency in utilizing QlikSense for data visualization and analysis, contributing to insightful decision-making processes. Utilized Git and JIRA for effective project management and collaboration, ensuring version control and streamlined workflows. Applied strong SQL and SQL Server skills to extract, manipulate, and analyze data effectively, contributing to data-driven insights and decision-making. Conducted in-depth analysis of customer behavior patterns to inform retention strategies and decision-making processes. Extensive experience in working with various machine learning models, employing algorithms such as RFM and NLP to address complex business challenges.

Education

Indian Institute of Management, Indore

Executive PG Diploma in Business Analytics, Business Analytics

Indian Institute of Management, Indore

20201 yr2021
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Bachelor of Technology, Electronic and Telecommunication Engineering

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

20163 yrs2019

Join Shubham and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Shubham Kumar on Tal

Headline

Associate Data Analyst @ Morgan Stanley | Analyzing Data Insights

About

Morgan Stanley benefits from expertise in data science and business analytics, supported by an Executive IPBA from IIM Indore. Previous roles at Amazon and Infogain honed business analysis and intelligence development skills, emphasizing deep learning and artificial intelligence applications. With a foundation in engineering from NMIMS, contributions focus on actionable insights and leveraging AI for strategic decisions.

Location

Mumbai

Work experience

Senior Data Analyst at Morgan Stanley, Feb 2025 - Present · 1 yr 6 mos, Mumbai, Maharashtra, India, • Conducted comprehensive data analysis to identify and resolve data gaps, enhancing overall data integrity. • Optimized data flow processes, resulting in a 25% increase in efficiency across multiple projects. • Automated repetitive tasks, significantly reducing manual effort and allowing stakeholders to focus on strategic initiatives.

Data Associate at Morgan Stanley, 2025 - Present · 1 yr 7 mos, Collaborated closely with product managers to develop and deliver optimal solutions, actively engaging in daily touch-base calls to ensure alignment with project requirements and objectives. Utilized SQL, Python, and ETL tools for efficient data processing, developing data pipelines and tables utilized by both product and technical teams. Leveraged BI tools to generate insightful reports and define key performance indicators (KPIs), enabling informed decision-making and process improvements.

Business Analyst I at Amazon, Dec 2022 - Jan 2025 · 2 yrs 2 mos, Bengaluru, Karnataka, India

Business Intelligence Developer at Infogain, Jul 2019 - Nov 2022 · 3 yrs 5 mos, Mumbai, Maharashtra, India

Data Analyst at Infogain, 2019 - 2022 · 3 yrs, Collaborated effectively with business analysts and quality assurance personnel to ensure the delivery of optimal functionality for projects. Engaged in thorough analysis and understanding of client requirements, maintaining daily touch-base calls for updates and ensuring client satisfaction throughout the project lifecycle. Proficiently worked within a 3-tier architecture framework, developing comprehensive data models for applications using Qlik with adherence to best practices. Demonstrated proficiency in utilizing QlikSense for data visualization and analysis, contributing to insightful decision-making processes. Utilized Git and JIRA for effective project management and collaboration, ensuring version control and streamlined workflows. Applied strong SQL and SQL Server skills to extract, manipulate, and analyze data effectively, contributing to data-driven insights and decision-making. Conducted in-depth analysis of customer behavior patterns to inform retention strategies and decision-making processes. Extensive experience in working with various machine learning models, employing algorithms such as RFM and NLP to address complex business challenges.

Education

Executive PG Diploma in Business Analytics, Business Analytics, Indian Institute of Management, Indore

Bachelor of Technology, Electronic and Telecommunication Engineering, SVKM's Narsee Monjee Institute of Management Studies (NMIMS)