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Senior Data Analysis with 4+ years in Data Analytics & AI-driven Data Management
Certified Data Analyst with over 4 years of experience in Data Analytics, Business Intelligence, and AI-driven Data Management. Proven expertise in SQL, Advanced Excel, Power BI, Tableau, and the Microsoft BI stack (SSIS, SSAS). Proficient in ETL processes, data modeling, data cleansing, and data extraction from diverse sources, with a focus on preparing data for machine learning pipelines. Proven ability to develop robust SSIS packages, implement stored procedures, and create insightful reports. Experienced in stakeholder communication, gathering business requirements, and incident management within defined SLAs, with a solid understanding of how AI models can optimize these processes.
Vellore Institute of Technology
M. Tech
August 1, 2019 – June 30, 2021
GITAM University
B.Tech · Mechanical Engineering
August 1, 2014 – June 30, 2018
Infosys BPM
Senior Process Executive (Data Analyst)
December 1, 2021 – Present
Bengaluru, Karnataka, India
Data Gyan
Data Analyst Intern
August 1, 2021 – November 30, 2021
Bengaluru, Karnataka, India
Robert Bosch
Data Analyst Intern
December 1, 2020 – June 30, 2021
Bengaluru, Karnataka, India
Certified Data Analyst
Unknown
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different companies (Infosys BPM, Data Gyan, Robert Bosch) and roles (internships to senior process executive) demonstrates adaptability and a breadth of exposure. Their involvement in projects ranging from optimizing SSIS packages to developing predictive analytics models and leading data migration projects indicates a proactive and growth-oriented mindset. The 'Best Performer Award' at Robert Bosch highlights a drive for excellence. These aspects suggest a good cultural fit for dynamic, results-driven environments.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in communication, presentation, data storytelling, and business acumen, as evidenced by their experience in collaborating with business users and translating requirements. Their experience in incident management and process improvement indicates an operational fit for roles requiring proactive problem-solving and adherence to SLAs. The focus on automation and data integrity for AI models aligns well with modern data operations.