MY NAME

Aspiring Data Scientist | Business Intelligence Analyst

Bhopal, IN.

About

Highly analytical and results-driven Master of Computer Application candidate with a strong foundation in data science, machine learning, and business intelligence. Proven ability to streamline processes, enhance productivity, and deliver actionable insights through data analysis, predictive modeling, and cross-functional collaboration. Seeking to leverage expertise in Python, SQL, and advanced analytics to drive data-driven strategies and impactful outcomes in a challenging data-centric role.

Work

WS

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Business Analyst Intern

N/A, N/A, India

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Summary

Streamlined data collection and reporting procedures, implemented process improvements, and collaborated with cross-functional teams to drive strategic decision-making.

Highlights

Streamlined data collection and reporting procedures, reducing processing time by 20% and enhancing overall efficiency.

Implemented process improvements and automation solutions, resulting in a 15% increase in productivity.

Collaborated with 3+ cross-functional teams to gather requirements, define project scopes, and ensure alignment with business objectives, fostering effective teamwork and project success.

Produced 15+ comprehensive reports and presentations summarizing findings and recommendations, facilitating clear communication with stakeholders and driving actionable outcomes.

Conducted in-depth market research and analysis, identifying 10+ key trends and insights that informed strategic decision-making processes.

Education

Vellore Institute of Technology

Bhopal, Madhya Pradesh, India
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Master of Computer Application Computer Application Grade: GPA: 8.06

Barasat Govt. College

Kolkata, West Bengal, India
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Bachelor of Science (HONORS) Mathematics Grade: GPA: 8.70

Certificates

Programming in Python (Meta)

Meta

Introduction to Data Analyst (IBM)

IBM

Foundations: Data, Data, Everywhere (Google)

Google

Skills

Languages

Python, SQL, JAVA.

Frameworks

Pandas, Numpy, Scikit-Learn, Matplotlib.

Tools

Power BI, Excel, PowerPoint, Tableau, MySQL, SQLite.

Platforms

PyCharm, Jupyter Notebook, Visual Studio Code, Intellij IDEA.

Soft Skills

Rapport Building, Strong Stakeholder Management, People Management, Excellent Communication.

Projects

Student Performance Prediction

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Summary

Developed and deployed a machine learning model to accurately forecast student academic performance, enhancing data quality and identifying key influencing factors.

Credit Card Fraud Detection

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Summary

Engineered and optimized a logistic regression-based machine learning model to detect credit card fraud, significantly reducing false positives and improving model efficiency.

Heart Disease Prediction

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Summary

Orchestrated the development of a Logit model for highly accurate heart disease prediction, implementing robust data encryption protocols to enhance patient privacy and healthcare outcomes.