Business-driven Data Analyst with 1+ years of experience transforming complex data into strategic insights and measurable business impact using Power BI, SQL, Python, and Microsoft Fabric. Proven track record of delivering results: 40% CSAT improvement, 20% cost reduction, and 36% revenue increase through data-driven decision-making.
A comprehensive toolkit built through hands-on experience delivering business-critical analytics solutions
Real projects that delivered measurable business outcomes through data-driven insights
The bank lacked a centralized system to identify churn-prone customers, leading to missed retention opportunities and inefficient outreach strategies.
Integrated customer data from multiple sources into a unified Microsoft Fabric model. Used SQL and Excel for cohort segmentation and churn pattern analysis. Built a Power BI dashboard with churn indicators, tenure trends, and product usage insights to support the retention team.
Enabled proactive outreach to 300+ high-risk customers. Reduced churn by 12% over 3 months and improved campaign targeting accuracy by 30% through data-driven segmentation and early warning signals thus saved $240K.
The e-commerce support team lacked visibility into 8,000+ customer interactions, leading to high ticket volumes, unresolved friction points, and declining retention.
Modeled multi-channel support data using Microsoft Fabric. Used Excel and unified analytics to segment issues by product, channel, and customer type. Built Power BI dashboards to highlight performance gaps and emerging risk patterns.
Projected 40% improvement in CSAT, 25% reduction in resolution time and 15% reduction in average handle time. Enabled proactive support strategies, channel optimization, and product quality audits to reduce churn and improve customer experience.
Sales data was fragmented across Excel files and databases, with manual reporting taking 2–3 days. Lack of real-time visibility made it difficult to track KPIs, identify underperforming products, and forecast future sales.
Integrated SQL and Excel data into a centralized Power BI model using star schema architecture. Built an interactive dashboard with KPIs, time series trends, product performance, customer segmentation, and geographic insights. Automated daily refresh and enabled self-service analytics for stakeholders.
Reduced reporting time from 3 days to 5 minutes. Recovered $150K in missed revenue opportunities and cut manual reporting costs by $50K annually. Achieved 95% dashboard adoption across the sales team and eliminated 80% of ad-hoc data requests.
A UK-based retailer lacked visibility into customer behavior, product performance, and geographic trends across 500K+ transactions. Manual reporting and fragmented data limited their ability to optimize revenue, reduce churn, and expand internationally.
Modeled transactional data using Microsoft Fabric and SQL. Performed RFM segmentation, geographic analysis, and seasonal trend detection. Built a Power BI dashboard with insights on customer behavior, cart abandonment, and product bundling. Used Excel for ad-hoc analysis and stakeholder reporting.
Identified that 90% of sales came from the UK, with France and Germany as emerging markets. Recovered £180K through cart abandonment optimization and reduced churn by 18% via targeted re-engagement campaigns. Flagged £2.4M in revenue at risk from top 15% customers and implemented a loyalty program to prevent churn.
Investors entering the US coffee market lacked data-driven insights into consumer preferences, pricing sensitivity, and product demand—risking misaligned offerings and missed revenue opportunities.
Ingested and modeled survey data from 4,000+ participants using Microsoft Fabric. Used SQL and Excel for demographic segmentation, consumption pattern analysis, and pricing behavior. Built a Power BI dashboard to visualize customer preferences, top coffee types, and spending thresholds.
Identified 25–34-year-olds as the core target audience, favoring pour-over, latte, and drip coffee. Recommended a pricing sweet spot of $6–$8 per cup, with a max willingness to pay of $10. Delivered strategic insights to guide product mix, pricing, and location strategy for a new coffee shop venture.
Transforming data into strategic business value
My journey into data analytics began with a simple question during my IT engineering degree: "Why do companies make million-dollar decisions based on gut feeling instead of evidence?" This curiosity led me to specialize in data analytics during my higher education at Southampton Solent University,National Institute of Technology Srinagr where I discovered the transformative power of turning raw data into strategic advantage.
Over the past 3+ years, I've evolved from writing basic SQL queries to developing strategic BI solutions that influence C-suite strategy. At Concentrix, I learned that the best analysts don't just report what happened — they use AI-powered analytics and predictive modeling to anticipate trends and prescribe data-driven actions that drive measurable business outcomes.
Whether it's preventing customer churn, optimizing operations, or uncovering hidden revenue opportunities, I bring equal parts technical depth and business acumen to every analysis. I'm passionate about democratizing data access through self-service BI tools and building systems that empower everyone — from executives to front-line staff — to make evidence-based decisions.
I don't just analyze data — I solve business problems. Every dashboard, model, and query I build answers a strategic question. Evidence: My churn prediction model directly preserved $240K in revenue; my operational dashboards enabled a 25% reduction in resolution time.
I architect for performance, not perfection. I've reduced query times by 90%, automated 15 hours/week of manual work, and built dashboards that refresh in seconds, not hours. I understand that fast insights drive fast decisions.
From database design to executive presentation, I own the full analytics lifecycle. I've delivered 10+ projects with 100% on-time completion and 30% higher client satisfaction because I anticipate needs, communicate proactively, and ensure adoption — not just delivery.
Building the bridge between data infrastructure and business intelligence
Have a business problem that needs data insights? Let's connect!
"See how my analysis drives decisions — not just dashboards"
Ready to bring data-driven insights to your team