Sanjeev H B

AI Researcher

Bengaluru, Karnataka, India3 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proven track record in data-driven decision making.
Strong leadership skills with team mentoring experience.
Expertise in optimizing business processes through analytics.

Stackforce AI infers this person is a Data Analytics and Supply Chain Management professional with SaaS experience.

Contact

Skills

Core Skills

Data AnalyticsBusiness AnalyticsData EngineeringSupply Chain Management

Other Skills

AWSAmazon QuickSightAmazon RedshiftAmazon Web Services (AWS)Analytical SkillsApache AirflowApplication SupportArtificial Intelligence (AI)Artificial Intelligence for BusinessBig Data AnalyticsBusiness AnalysisBusiness Process ImprovementBusiness RequirementsCalibrationClient Relations

About

Immediately Open to Work. Highly motivated and goal-oriented professional seeking an opportunity to apply my skills and abilities in a dynamic organization that values professional growth and innovation. With a strong academic background and active involvement in extracurricular activities, I have developed leadership qualities and the ability to thrive under pressure. Known for my willingness to learn and respond, I possess a positive attitude and excel in team leadership roles. My areas of interest include Data Analytics, Business Analytics, Supply Chain Management, AWS Cloud and related roles. Committed to delivering results and an asset to any team, I am ready to make a significant impact in a challenging role.

Experience

3 yrs 7 mos

Total Experience

1 yr 5 mos

Average Tenure

9 mos

Current Experience

Cognizant

Associate Data Scientist

Sep 2025 – Present · 9 mos · Hyderabad, Telangana, India · On-site

As a vendor partner to 𝗚𝗼𝗼𝗴𝗹𝗲, Cognizant ensures 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, and 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀, helping millions of businesses and points of interest remain accurate and up-to-date.
Conduct in-depth analyses of operational tasks using internal Google tools, identifying opportunities for automation and efficiency improvements.
Collaborate closely with Engineering, Operations, and Product teams to define and track key metrics, assessing the impact on business and product performance.
Develop key performance indicators (KPIs), establish success benchmarks, and serve as a trusted data expert to stakeholders, enabling data-driven decision-making.
Present actionable insights and strategic recommendations to Product teams, contributing to business process optimization and operational excellence.
Conduct rigorous quantitative and qualitative analyses to ensure data-backed, well-founded solutions.

Data VisualizationCloud StorageData AnalysisData AnalyticsSQLPython+2

Black box

Senior Analyst

Apr 2024 – May 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Data-Driven Decision Making: Developed, automated, and managed a suite of ServiceNow, Power BI, and Excel-based BI reports and dashboards to track key performance indicators (KPIs) and service level agreements (SLAs) thereby, proactively addressing business requirements and provided actionable insights.
Team Leadership & Development: Led and mentored a team of three associates, providing training and guidance in Power BI, ServiceNow, and Excel thereby, empowering the team to leverage BI tools and data analysis to solve complex business challenges.
Process Improvement: Collaborated with stakeholders (Service Delivery Managers (SDM)) to identify key data trends, performance and health metrics and conducted in-depth analysis that resulted in changes to the existing SOP’s thereby contributing 15% reduction in Incidents and enhanced the business process efficiency of respective projects.
Operational Efficiency & Accuracy: Streamlined existing reporting processes through automation leveraging Python, Power BI & Excel Pivots & Functions. This significantly enhanced efficiency and accuracy, resulting in a 75% reduction in report generation time, 85% reduction in manual efforts, and 95% reduction in manual errors.
Knowledge Management & Compliance: Developed and maintained comprehensive process documentation for multiple projects, ensuring compliance with ISO 20000 standards and facilitating seamless knowledge transfer within the team.

ServiceNowPower BIExcelPythonData AnalysisProcess Improvement+2

Amazon

2 roles

Application Engineer

Promoted

Nov 2022 – Sep 2023 · 10 mos · Bengaluru, Karnataka, India

Project: Kindle Device Metrics (KDM)
Data-Driven Decision Making: Led collaborative initiatives with cross-functional teams, leveraging data visualization tools (Power BI, Kibana, QuickSight) to analyze device metrics and contributed to the optimized cost, volume and storage of the respective device metrics.
Issue Resolution & Customer Obsession: Successfully resolved 15-35% of incoming JIRA tickets,
by collaborating, analyzing and onboarding new device metrics from respective metric owners demonstrating strong problem-solving, root cause analysis and customer support skills.
Data Pipeline Management: Monitored and maintained real-time and batch data ingestion pipelines using Apache Airflow, Kibana and AWS services by identifying and resolving critical data blockages and bottlenecks, ensuring uninterrupted data flow and improved customer experience in 24/7 environment.
Data Analysis & Visualization: Developed comprehensive reporting dashboards using Kibana, Power BI to track and monitor key performance indicators (KPIs). This resulted in a 25% reduction in overall team effort.

Data VisualizationPower BIKibanaApache AirflowAWSData Pipeline Management+2

Transportation Specialist 1

Nov 2021 – Oct 2022 · 11 mos · Bengaluru, Karnataka, India

Project: North America Disruption Management (NADM)
Data-Driven Process Improvement: Conducted in-depth data analysis to identify and mitigate client disruptions and operational loopholes. Developed and implemented revised SOPs, resulting in a 25% reduction in client escalations and significant enhancement of customer satisfaction.
Complex Issue Resolution: Successfully resolved complex escalations from junior associates, implementing innovative problem-solving techniques. This resulted in a 40% decrease in resolution time and a 15% improvement in customer satisfaction ratings.
Operational Excellence: Analyzed and monitored key operational metrics, including FC arrival/departure times, loading/unloading operations, and truck/trailer availability. Leveraged MySQL Workbench and Power BI to forecast potential issues and prevent gridlocks and shortages. Proactively escalated fraudulent activities, ensuring smooth and reliable logistics operations across North America.
High-Performance Delivery: Exceeded leadership expectations by consistently achieving best-in-class Average Handling Time (AHT) of 1 minute 30 seconds during peak periods (Amazon Prime Weeks).

Data AnalysisMySQLPower BILogistics ManagementSupply Chain ManagementData Analytics

Jsw steel

Summer Internship

May 2019 – Jun 2019 · 1 mo · Toranagallu, Karnataka, India · On-site

Study of plant facilities at JSW.
Study of flow of the Raw Materials through from RMHS to Finished good at HRM, CRM and so on.
Detailed Study of Coke Oven, Batteries, Stamping Yard.
Collaborated with teams on live projects
Conduct research and data analysis
Assisted with planning, implementation, and evaluation of project outcomes
Participated in meetings, brainstorming sessions, and presentations
Gained insights into JSW's operations, sustainability practices, and corporate values