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Senior Analyst with 3+ years in Business Intelligence & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Business Intelligence Analyst with 3 years of experience in analyzing large, multi-dimensional data sets, creating actionable insights, and supporting strategic decision-making. Proficient in SQL, Python, MS Excel, Power BI, and statistical modeling with a strong background in data validation, reporting, and predictive modeling. Experienced in collaborating with Marketing, Strategy, and Customer Success teams to drive sales and operational efficiencies. Adept at integrating data from multiple third-party sources and building machine learning algorithms to develop value-driven business recommendations.
Dr. D.Y.Patil College Of Engineering,Pune
Bachelor Of Engineering · Information Technology
August 1, 2018 – July 1, 2022
XDBS Worldwide
Business Intelligence Analyst
October 1, 2024 – Present
India
Infosys Ltd
Data Analyst
August 1, 2022 – September 1, 2024
Pune, Maharashtra, India
SQL
Hackerrank
June 18, 2026 – Present
Data Scientist
Fusion Institute, Pune
June 18, 2026 – Present
Python
Hackerrank
June 18, 2026 – Present
Cultural Fit Analysis
The candidate has experience in diverse analytical roles across different companies (XDBS Worldwide, Infosys Ltd) and has worked on various types of projects including marketing analytics, financial modeling, and customer behavior analysis. This breadth of experience suggests adaptability and a willingness to engage with different business challenges, which generally aligns well with a dynamic work environment. The target role of 'Senior Analyst' is a good match for the candidate's 3 years of experience and demonstrated capabilities.
Soft Skills & Operational Fit
The candidate's resume highlights cross-functional collaboration and the ability to translate data into business recommendations, indicating good operational fit. The descriptions suggest a detail-oriented approach to data validation and quality. However, without specific assessment data on soft skills, a comprehensive evaluation is limited.