Data/Business Analyst with 2+ years in AI-driven Analytics, SQL, Power BI & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data & Business Analyst with ~2 years of experience in AI-driven data evaluation, analytics reporting, and cross-functional collaboration. Skilled in SQL, Power BI, Python, and Excel for data analysis and dashboarding. Comfortable translating data findings into clear insights for business stakeholders and working across technical and non-technical teams to drive informed decisions.
KIIT University
B.Tech · Computer Science & Engineering
August 1, 2020 – June 30, 2024
Turing
Business Analyst - AI & Data
October 1, 2024 – Present
India
Zummit Infolabs
Business Analyst Intern
September 1, 2024 – October 1, 2024
India
Celebal Technology
SQL Intern
May 1, 2023 – July 1, 2023
India
Data & Analytics for Fintech on Cloud – KIIT x KFin Technologies (K2 Program)
KIIT x KFin Technologies
April 1, 2024 – Present
AWS Academy Graduate - Amazon Web Services
Amazon Web Services
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse experience, including internships and a current role in AI & Data, shows adaptability and a proactive approach to learning. Their involvement in team leadership and stakeholder collaboration indicates a team-oriented and communicative work style. The certifications in AWS and Data & Analytics for Fintech, along with achievements like co-founding a venture, suggest a driven and innovative individual who is likely to be a good cultural fit in a dynamic, growth-oriented environment. The Japanese language proficiency also hints at an open-minded and culturally aware individual.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in stakeholder management, team leadership, and cross-functional collaboration, as evidenced by their experience descriptions. Their involvement in AI agent task analysis and RAG evaluation suggests an analytical and problem-solving mindset, crucial for operational fit in a data-driven environment. The ability to bridge communication gaps between technical and business teams is a significant asset.