Data Analyst with 1+ years in Analytics & Business Intelligence
AI is analyzing your overall score…
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Assessing your cultural and operational fit
Numbers tell half of the story but what attracts me to analytics is the part that comes after: figuring out why something happened and what to do next. With a background in business administration and hands-on work in Power BI, SQL, Python and Excel, I've built dashboards, dug through messy datasets and turned scattered data into clear recommendations. Whether it's a sales trend, a supply chain gap or a customer behavior pattern, I get curious about what the data is actually saying. I'm at the start of my career and looking for a role where I can keep learning fast while contributing something real from day one.
Bahria University
MS · Business Analytics
August 1, 2025 – June 30, 2027
Institute of Management Sciences
BBA · Islamic Finance
August 1, 2020 – June 30, 2024
Funding Souq
Finance Content Writer
November 1, 2024 – Present
UAE
Social Media Advertisement Analytics – Excel
June 24, 2026 – Present
Cleaned and analyzed multi-platform ad campaign data covering 10,000+ rows across 4 platforms. Built an interactive Excel dashboard tracking KPIs: engagement rate, conversion trends, and ROI, enabling faster budget decisions. Key finding: Found total campaign spend of $117.4M across all channels with a total of 960,860 clicks and 2.88M impressions, top campaign (ID 656260) generated $163,138 net profit at 91.6% ROI.
Patient Appointment Analysis – SQL
June 24, 2026 – Present
Queried and cleaned a medical appointment dataset using SELECT, WHERE, IS NULL, and CASE WHEN statements to normalize status fields covering 9,916 records. Performed GROUP BY aggregations with COUNT() and AVG() to identify no-show patterns across age, gender, and neighborhood segments. Applied CTEs and window functions to isolate high-risk patient segments, surfacing 3 key factors driving missed appointments. Key finding: Patients with chronic conditions (diabetes and hypertension) attended more consistently, while patients under 18 had the highest no-show rate.
Maven Toys Business Analysis – Power BI
June 24, 2026 – Present
Analyzed product and store-level performance; confirmed toys segment leads in both revenue and profit margin. Conducted time-series analysis to pinpoint seasonal peaks and produced data-driven forecasts. Proposed early holiday promotion strategy based on seasonal trend modeling to maximize revenue capture during peak periods
Pakistan Real Estate Price Analysis – Python
June 24, 2026 – Present
Analyzed property listings across major Pakistani cities to identify key factors influencing real estate prices. Cleaned and standardized property data by converting PKR values and area units into consistent formats. Created key metrics, including Price per Sq. Ft., Price Category, and Bedrooms per Area, highlighting premium and undervalued markets. Identified pricing trends, including a positive area-price relationship and lower price per sq. ft. for larger properties. Recommended mid-sized apartments in premium locations for rental income and emerging cities for long-term capital growth.
Amazon Clothing Sales Analysis – Power BI
June 24, 2026 – Present
Cleaned and transformed raw Amazon sales data; built interactive dashboards visualizing revenue trends, seasonal demand, and top product categories. Identified peak sales periods and customer purchasing patterns to support inventory and promotions planning.
Finance Content Writing
Dremials
June 1, 2026 – Present
Data Analytics
Atomcamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering social media, healthcare, e-commerce, and real estate, indicates a broad interest and adaptability to different business contexts. The pursuit of an MS in Business Analytics and a Data Analytics certification shows a commitment to continuous learning and professional development, which aligns with a growth-oriented culture. The current part-time role as a Finance Content Writer, while not directly analytical, demonstrates an ability to work remotely and collaborate, suggesting flexibility. The candidate's stated goal of 'learning fast while contributing something real from day one' also points to a proactive and engaged cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Critical Thinking, Problem Solving, Communication, Adaptability, and Continuous Learner. The project descriptions demonstrate an ability to translate data into actionable insights and communicate findings, which aligns well with operational needs for data-driven decision-making. The part-time Finance Content Writer role also suggests good written communication and collaboration skills.