About
Detail-oriented and analytical Data Analyst with hands-on experience gained through an AI & Data Science internship and self-driven data projects, skilled in collecting, cleaning, and analyzing datasets to uncover trends and support business decisions. Proficient in SQL, Python, and advanced Excel, with practical exposure to building dashboards in Power BI and Tableau to track key business metrics. Comfortable performing root cause analysis, EDA, and statistical analysis to explain shifts in performance metrics, and translating findings into clear, data-backed recommendations for business and operations teams.
Skills & Expertise (29)
Work Experience
AI & Data Science Intern
Xylofy AI
June - Present
Gained hands-on exposure to data preprocessing, exploratory data analysis, and model building using Python. Assisted in building and evaluating machine learning models, supporting data cleaning and feature engineering tasks. Collaborated with the data science team on AI-driven projects, contributing to analysis and reporting.
Freelance Data Analyst
Pintu Developer's
2024 - 2026
Worked as a Freelance Data Analyst, collecting, cleaning, and analyzing data using Excel, SQL, Python, and Power BI. Developed interactive dashboards, automated reports, performed data visualization, and generated business insights to support data-driven decision-making for client projects.
Education
Master of Computer Applications (MCA) - GNIOT
2024 - 2026 · India
Bachelor of Computer Applications (BCA) - Patliputra University
2021 - 2024 · India
Certifications
Machine Learning
Coursera · 2026
Completed a comprehensive Machine Learning course through Coursera, covering supervised and unsupervised learning, regression, classification, clustering, model evaluation, feature engineering, and predictive analytics. Gained hands-on experience with Python, Scikit-learn, NumPy, and Pandas by building and evaluating machine learning models on real-world datasets.
Google Data Analytics
Google · 2026
Completed the Google Data Analytics Professional Certificate, gaining practical skills in data cleaning, data analysis, data visualization, SQL, spreadsheets, R, and Tableau. Learned to collect, transform, analyze, and present data-driven insights to support business decision-making through hands-on projects and real-world case studies.
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Skills (29)
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