Data Analyst with 1+ years in Power BI & Machine Learning
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Data Analyst (Intern) with 1 year of experience in transforming raw data into actionable insights using Power BI. Skilled in building interactive dashboards, data cleaning, and preprocessing with Python and SQL. Currently pursuing a Bachelor of Engineering in Software Engineering, with strong foundational knowledge in machine learning and data visualization for various domains including sports analytics and financial predictions.
Govt. College For Men, Nazimabad
F.S.C · Pre-Engineering
June 1, 2021 – June 1, 2023
NED University of Engineering and Technology
Bachelor of Engineering · Software Engineering
August 1, 2019 – Present
Abul Kalam Library
Data Analyst (Intern)
June 1, 2025 – August 1, 2025
India
NED Library's Circulation Report
June 1, 2026 – Present
Developed NED Library's Circulation Report by engineering circulation data, performing ETL and data cleaning, and presenting insights through an interactive Power BI dashboard using SQL, Python (pandas) and Power BI.
Machine learning model to predict the outcome of The Ashes
June 1, 2026 – Present
Developed a machine learning pipeline using Python (pandas, NumPy, scikit-learn) to predict the outcome of the 3rd match between Australia and England in the Ashes Series. Trained an XG Boost Classification model on past Ashes data from 2001 onwards and used the last two series for testing purposes. Achieved an 80% Accuracy based on custom created features. Demonstrated the process uniquely over various social platforms.
View ProjectPremier League Forecasting Model
June 1, 2026 – Present
Working on a predictive model that is trained on the past 3 season of Premier league seasonal data scraped from various platforms. Utilized a Random Forest Classifier Model for predicting the match outcome. Decided to do a weekly series for the matches and showcase it on various platforms.
Data Analysis with Python
IBM
June 1, 2026 – Present
Deep Learning and Neural Networks
IBM
June 1, 2026 – Present
Machine Learning with Python
IBM
June 1, 2026 – Present
Project Management Specialization
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects, particularly the sports analytics models, show initiative and a passion for applying data science to real-world problems. The academic and personal projects, combined with an internship, demonstrate a proactive learning attitude and a willingness to explore diverse applications of data analysis and machine learning. The competitive participation also highlights a drive for achievement. However, the experience level is quite junior, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to present insights and demonstrate processes on social platforms, suggesting good communication and presentation skills. The internship experience shows an ability to gather requirements and integrate solutions, which are valuable operational skills. However, without specific psychometric or English test results, a deeper assessment of soft skills and operational fit is limited.