Bridging Technology, Data, and Business Strategy — building intelligent systems and uncovering insights that move organizations forward.
I'm a Computer Engineering student fascinated by the intersection of technology and business — where elegant systems meet rigorous analysis to create measurable outcomes.
I build software, study data, and frame problems the way a consultant would — starting with the question, not the tooling. My toolkit spans Java, Python, SQL, dashboarding with Power BI & Tableau, and cloud fundamentals on AWS & GCP.
I'm pursuing roles where I can sit at the table with engineers and executives — turning ambiguous problems into structured analyses, prototypes, and recommendations.
"Translate complexity into clarity, and clarity into compounding business value."
Deep technical foundations, broad analytical and business range — combined to solve problems end-to-end.
The instruments I reach for — from code editors to BI platforms to cloud consoles.
Version control workflows & branching strategies.
Collaboration, PR reviews, CI integrations.
Daily driver editor with tuned extensions.
Modeling, pivot tables, advanced formulas.
Interactive dashboards & DAX measures.
Storytelling visualizations & exploration.
Schema design, joins, window functions.
EC2, S3, IAM fundamentals.
BigQuery & app deployment basics.
Knowledge base, planning, documentation.
Docs, Sheets, Slides for collaboration.
Designing and consuming HTTP services.
A career trajectory shaped by hands-on building, structured analysis, and entrepreneurial curiosity.
A mix of software engineering and analytics work — each starts with a real problem and ends with measurable impact.
Structured problem-framing, evidence-based analysis, and crisp recommendations — the way a consulting team would deliver them.
Placement cell suffered from low company-student match rates.
Reviewed 3 years of placement data, ran SWOT, interviewed 12 students.
Mismatched skill expectations and weak pre-placement signaling.
Skill-mapping form, mock interviews per stream, recruiter-facing brochure.
Restaurant churn rising in tier-2 cities.
Built cohort + Porter's 5 forces analysis on public data.
Commission structure misaligned with low-AOV markets.
Tiered commissions, micro-marketing toolkits, listing audits.
OPD waiting time averaged 95 minutes.
Time-motion study + Little's Law modeling across 5 stations.
Two bottlenecks accounted for 60% of waiting time.
Token batching, kiosk pre-triage, staff rotation policy.
Students reported feeling overwhelmed but low output.
Survey of 200+ students, time-use diaries, correlation analysis.
Context switching, not workload, drove perceived overload.
Time-blocking workshops, syllabus consolidation, focus rooms.
Continuous learning across data, cloud, business analysis, and design thinking.
Notes on technology, analytics, and the business of building.
Open to internships, analyst roles, consulting opportunities, and student collaborations.
Based in India · Open to remote and on-site internships · Replies within 24 hours.