AI Engineer with 1+ years in ML, Business Analytics & Data Science.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented AI Engineer with experience in ML, Business Analytics, SQL, Python, dashboard development, and data-driven decision making. Skilled in analyzing large datasets, defining KPIs, building automated reporting solutions, and generating actionable insights for business growth. Experienced in stakeholder collaboration, predictive analytics, data validation, and visualization using Tableau and React.
CHANAKYA UNIVERSITY
M.SC. · DATA SCIENCE
N/A – June 30, 2025
ALVA'S DEGREE COLLEGE
B.SC. · PHY, MATHS, C.SC
N/A – June 30, 2022
IIHS
AI ENGINEER
September 1, 2025 – Present
Bengaluru, Karnataka, India
LUMIN AI SYSTEMS
DATA ANALYST
March 1, 2025 – August 31, 2025
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's experience spans AI engineering and data analysis, showing adaptability. The projects involve practical applications of AI and data science, which aligns with a results-driven culture. The educational background in Data Science and strong academic performance suggest a commitment to continuous learning and a solid theoretical foundation. The roles indicate a preference for impactful work, which is a good cultural fit for many tech organizations.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach with quantifiable achievements (e.g., reducing manual review time by 50-60%, accelerating decision making by 40%). Collaboration with stakeholders is mentioned, indicating an ability to work within a team and align with business needs. The focus on automation and efficiency suggests a proactive and problem-solving mindset.