25+ end-to-end analytics projects spanning Excel, Power BI and SQL — each solving a real business problem with measurable outcomes.
Analyzed PKR 1.21M revenue across 7 cities. Discovered Electronics drives 64% revenue but at thin margins (19%). Projected 25% revenue growth via Lahore & Faisalabad market expansion and digital payment incentives.
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Analyzed 417,883 road casualties across vehicle type, road conditions and location. Cars responsible for 79.8% of all accidents (333K), single carriageway roads highest risk zone at 390K casualties, urban areas dominating over rural at 255K.
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Analyzed 532 call-centre interactions totalling Rs.96K revenue. Male callers deliver 3x higher ticket size. Top agent F05 identified for script replication. Uncovered Rs.18K daily revenue opportunity through gender-specific upsell flow redesign.
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Analyzed coffee sales across 3 countries from 2019 to 2022. USA leads with ~750 units, top 5 customers drive disproportionate revenue, seasonal peaks in late 2019 and mid-2021 identified for inventory planning.
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Built a CRM sales pipeline dashboard for SoftTech tracking leads, deal stages and conversion rates across the full sales funnel. Identified pipeline bottlenecks and enabled data-driven sales coaching decisions.
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Analyzed $484K total sales and 20.6% YoY growth across 1,993 orders. Technology leads profit but margins are under pressure. Phones top-selling product, Central and West US regions dominate.
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Analyzed 96,000+ terrorism records spanning 1970–2017. Taliban, ISIS and Boko Haram identified as deadliest groups. South Asia is the highest-risk region, 2017 the peak year, explosives the dominant weapon.
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Executive dashboard analyzing $1.2M revenue across 5,400+ orders. Electronics top category, Wireless Headphones #1 product, 12% MoM growth. North America contributes 60%+ of total sales.
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52% properties are renovated, 0.75% are ultra-premium waterfront, 76% are 3-4 bedroom family homes. Renovation ROI matrix, lifecycle planning and dynamic pricing strategy for underserved buyer segments included.
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Analyzed 630 data professionals globally. Python is #1 skill across all roles. Data Scientists earn highest salaries, gender pay gap clearly identified. Avg work-life balance score 5.74/10.
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December peak at $67K revenue, top salesperson Nancy drove $104K in total, North region leads at $142K. Credit cards account for 60% of all payments. Seasonal promotion timing recommendations provided.
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Analyzed $128M gross sales across product segments and geographies 2013–2014. Paseo is top profit product at $5M (28% of total profit). Velo discount share of 28% identified as a margin risk.
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Analyzed 16% org-wide attrition. Life Sciences at 39% turnover costing Rs.2.8 Cr annually. Overtime workers and bottom-quartile salaries are top churn drivers. Interventions projected to save Rs.3.1 Cr per year.
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Postpaid users show higher ARPU, data demand overtaking voice calls, early churn signals detected via CTEs and DATEDIFF logic. 12 business questions answered covering revenue, retention and plan optimization.
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Rs.912K total sales. Electronics leads all categories, Adults 53% largest customer segment. Peak revenue months Feb, Mar and Dec identified. Age/gender profitability breakdown and hourly sales heatmap included.
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3-year analysis 2020–2022: $99M total revenue and $23M profit across 5,095 transactions. Intel (19%), Samsung (16%) and Dell (14%) top brands. Monitors and GPUs drive highest revenue.
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Nationwide retail analysis across 3 sales channels. Karachi top revenue city, Experience Stores lead all channels, distributor stores consistently miss targets. 7-table normalized relational model with full ER diagram.
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Analyzed 2,037 churned bank customers. Age group 31-40 at highest risk with ~50% churn rate. Product 4 at 69% churn rate. France and Spain are top churn regions. Targeted retention recommendations included.
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4-year analysis 2011–2014: revenue grew 304% to $2.30M but 34% avg discount is squeezing margins. Corporate segment most profitable despite lower volume. West region leads at 19% margin.
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Designed and analyzed an Amazon-style e-commerce database. Extracted Pareto trends, high-value customer segments, product profitability leaders and seasonal revenue patterns. Full ER diagram and relational schema included.
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Wellington at 18% cancellation rate — double city average. EVs generate highest fare per km, Gold-tier customers are top revenue segment. NZD 3.1M+ incremental revenue projected from SQL-driven strategy recommendations.
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Avg delivery at 58hrs vs 48hr SLA target. Bank payment return rate at 31.25%, 27% COD payments pending settlement. 6 critical operational problems solved. Projected 20% improvement in on-time delivery rate.
View on GitHubMoM revenue, order volume and quantity trends tracked via LAG Window Functions. Revenue stayed stable during low-order months, revealing a premium pricing effect. Seasonal demand spikes identified for smarter inventory planning.
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Simulated Airbnb Pakistan market across 10 cities using pure SQL. Stay_4 Karachi top revenue listing at PKR 147K, Lahore leads guest satisfaction at 4.2/5. Top 3 listings drive 63% of total revenue.
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Analyzed Spotify dataset covering tracks, albums and artists. Identified tracks with 1B+ streams, official video tracks correlate with higher engagement. Top 3 artists per city ranked via RANK Window Function.
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