Data Analytics & Visualization
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 Data Analytics professional with a strong foundation in Artificial Intelligence and Machine Learning and hands-on experience in transforming raw data into strategic insights. Skilled in SQL, Excel, Power BI, and Python with a focus on data storytelling, automation, and predictive analytics. Curious learner with a commitment to data-driven problem-solving.
RNS INSTITUTE OF TECHNOLOGY
Bachelor of Engineering · CSE(AI&ML)
January 1, 2022 – May 1, 2025
MastersCampus Academy
Data Analyst Intern
January 1, 2022 – Present
Bengaluru, Karnataka, India
Supply chain and Logistics Database
June 21, 2026 – Present
Transformed raw logistics data into actionable insights using SQL and Power BI dashboards. Designed and optimized a relational supply chain database improving delivery visibility and analytics. Built KPIs like OTIF %, cost per km, and delay analysis to drive data-backed decisions. Automated analytical workflows, improving reporting efficiency and operational transparency. Leveraged SQL + DAX to uncover performance gaps and optimize routes across multiple distribution centers.
DataPulse Pro (Data Science)
MastersCampus Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in CSE(AI&ML) combined with practical project experience in diverse domains (supply chain, telecom) indicates adaptability and a broad interest in data applications. The focus on data storytelling and automation aligns with a results-oriented culture. The mention of a 5-star rating on Hackerrank in SQL suggests a drive for continuous improvement and skill validation.
Soft Skills & Operational Fit
The candidate's resume highlights a commitment to data-driven problem-solving and a curious learning attitude. Experience in collaborating with analysts for root-cause analysis suggests good teamwork potential. The automation of daily SQL-based data refresh workflows indicates an operational mindset focused on efficiency.