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Data Analyst with less than a year in data engineering, predictive insights, and interactive Power B
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven IT Graduate specializing in Data Analytics with hands-on experience in data engineering, predictive insights generation, and interactive Power BI dashboarding. Proficient in Python, SQL, and MS Excel, with a strong foundation in managing large-scale datasets to optimize business intelligence. Eager to leverage technical problem-solving skills and analytical thinking in an entry-level Data Analyst or Product Analyst role.
University of Agriculture
Information Technology
August 1, 2020 – June 30, 2024
Govt. Commerce College of Burewala
Diploma in Commerce · Commerce
August 1, 2017 – June 30, 2019
Loan Data Analysis and Risk Assessment
January 1, 2025 – January 1, 2025
Processed and cleaned a dataset of 521 rows and 16 columns, applying Log Transformation to feature engineer and handle skewed distributions in Loan Amount and Total Income. Evaluated applicant demographics, discovering that Credit History of 1, combined with being married and an educated graduate, serves as the strongest indicator for higher loan approval rates. Identified that Total Income (combined applicant and co-applicant income) offers a significantly better risk metric than evaluating individual income streams. Engineered an interactive dashboard to visualize credit risk categories, fulfillment rates, and approval distributions for data-driven credit analysis.
Amazon Sales Data Analysis & BI Dashboard
January 1, 2025 – January 1, 2025
Processed and optimized a large dataset of 128,977 rows and 18 columns using Python. Extracted major insights, discovering that Electronics & Apparel drive 60% of revenue and the top 5 cities generate 40% of orders. Analyzed shipment data, confirming an efficient delivery system with over 90% on-time order fulfillment. Developed an interactive dashboard to track monthly KPIs, Q4 sales spikes, and inventory trends for data-driven decisions.
Fake News Detection & Data Analysis
January 1, 2025 – January 1, 2025
Cleaned and preprocessed a dataset containing 20,001 rows and 7 columns. Conducted exploratory data analysis to identify that Politics and World News categories exhibit the highest density of misinformation and bias. Tracked temporal patterns of fake news propagation relative to global events and evaluated the credibility of dominant authors and media sources. Developed a comprehensive dashboard visualizing real-to-fake news ratios, identifying unreliable media outlets, and tracking author trends.
Google Data Analytics Certificate
Coursera
November 1, 2025 – Present
SQL Certification (SQL queries, joins, functions)
Mind Luster
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a proactive approach to learning and applying data analytics skills across diverse domains (e.g., e-commerce, finance, news analysis). This diversity indicates adaptability and a willingness to tackle different types of data challenges. The pursuit of certifications (Google Data Analytics, SQL) demonstrates a commitment to continuous learning and professional development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills through their project descriptions. Their focus on data-driven decision-making and ability to translate raw data into actionable insights aligns well with operational requirements for a Data Analyst role. The project-based experience suggests an ability to work independently on defined tasks.