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Business Analyst with 6+ years in Data Science, Machine Learning & Workflow Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Business Analyst with professional experience in operations, data science, machine learning, workflow automation, and business intelligence solutions. Skilled in Python, SQL, Power BI, Microsoft Power Automate, Databricks, and Azure. Proven ability to automate business processes, improve forecast accuracy, and deliver data-driven solutions across global markets.
Imarticus Learning
Post Graduation · Data Science & AI Engineering
August 1, 2020 – June 30, 2022
DIT University, Dehradun
B.Tech · Mechanical Engineering
N/A – June 30, 2020
Amazon
Business Analyst
January 1, 2021 – July 31, 2025
India
BYJU'S
Operations Team
January 1, 2020 – December 31, 2021
India
Post Graduation in Data Science and AI Engineering
Imarticus Learning
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience at Amazon, a large, fast-paced tech company, suggests adaptability to dynamic environments. Their focus on data-driven solutions, automation, and continuous improvement aligns with a culture that values efficiency and innovation. The breadth of skills across data science, ML, and business intelligence tools indicates a versatile individual. The transition from Mechanical Engineering to Data Science and AI Engineering shows a strong drive for learning and career development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, stakeholder management, and a collaborative approach through their experience at Amazon. Their work on workflow optimization and automation initiatives indicates a proactive attitude towards improving operational efficiency. The ability to reduce manual effort by 30% and improve forecast accuracy by 20% highlights a results-driven mindset. However, the resume does not provide explicit examples of leadership or complex project management beyond individual contributions.