Data Analyst
5+ years exp
Management: 1-2 years
SQL
C++
Python
Java
C
Active 1 day ago
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Overview
Technical skills
Timeline
Roles
Overview
Data-focused professional with experience across IT training operations, teaching, and data auditing. Delivered BI-focused instruction using Power BI and Tableau, and performed SQL and advanced Excel-based auditing to meet SOP and SLA requirements. Currently leads an IT training institute with responsibility for curriculum planning, team coordination, admissions, and quality processes.
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Technical skills
SQL
C++
Python
Java
C
Analytics
Tableau
Power BI
Microsoft Excel
AI/ML
Machine Learning
DevOps
SLI/SLO/SLA
Timeline
Managing Director
•
Head+
Code Era Institute
•
Full-Time
Provided overall strategic and operational leadership for an IT training institute, aligning academic delivery with market needs. Built growth plans across course portfolio, admissions, partnerships, and daily operations. Designed industry-oriented curricula for data analytics and Power BI programs, and managed teams of faculty, trainers, and student support staff. Established SOPs and quality reporting, monitored KPIs, and ensured delivery consistency and career-focused learning outcomes.
Power BI
Assistant Professor
•
Middle
Raisoni Group of Institutions
•
Full-Time
Developed and delivered technical modules in data science and full-stack development for large student cohorts. Specialized in teaching Power BI and Tableau, connecting data concepts to practical operational requirements. Coordinated high-volume training with attention to technical accuracy and quality of delivery while mentoring students throughout training.
Power BI
Tableau
Data Analyst
•
Middle
Tech Mahindra Ltd
•
Full-Time
Performed data auditing for US-based clients to ensure adherence to SOPs and internal quality benchmarks. Used SQL and advanced Excel to identify dataset variances and resolve discrepancies within large-scale data. Supported international stakeholders with technical clarifications and participated in cross-functional sessions to address complex data issues while meeting SLA and productivity targets.
SQL
Microsoft Excel
