About
Aspiring Data Analyst with a robust foundation in data visualization, wrangling, statistical analysis, and predictive modeling. Proficient in SQL, Python, Power BI, Tableau, and Excel, with hands-on experience in ETL processes and dashboard creation. Eager to leverage strong problem-solving skills and analytical expertise to drive data-driven insights and optimize business operations within a dynamic organization.
Work
Hybrid, India
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Summary
Streamlined data analysis processes through automation and effective data visualization techniques.
Highlights
Executed comprehensive data preprocessing and visualization tasks to ensure data quality and derive meaningful insights.
Automated key analysis processes using Google Sheets and Python, significantly reducing manual effort and improving turnaround time.
Developed data-driven reports and dashboards, providing clear visual representations of complex data for stakeholders.
Hybrid, India
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Summary
Applied machine learning techniques to develop predictive models, significantly improving accuracy for critical classification problems.
Highlights
Performed extensive Exploratory Data Analysis (EDA) and feature engineering to prepare diverse datasets for robust model development.
Built and optimized Machine Learning models using Python and Scikit-learn for data prediction across various business applications.
Achieved an impressive 85% model accuracy for classification problems, directly enhancing the reliability of predictive analytics.
India
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Summary
Drove student engagement and increased campus participation through strategic event organization and outreach.
Highlights
Organized and executed multiple workshops and tech events, fostering student engagement and enhancing community involvement.
Successfully increased campus participation by 40% through targeted outreach campaigns and promotional activities.
Acted as a key liaison between Acmegrade and the student body, effectively promoting initiatives and gathering feedback.
India, India
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Summary
Contributed to data-driven decision-making by performing comprehensive data analysis and developing insightful visualization dashboards.
Highlights
Cleaned and analyzed large-scale datasets using SQL and Python, ensuring data integrity and readiness for advanced analytics.
Developed and deployed dynamic data visualization dashboards in Power BI, translating complex data into actionable business insights.
Collaborated cross-functionally with the analytics team to design and implement automated data workflows, enhancing operational efficiency and data processing speed.
Skills
Data Analysis & Visualization
Excel, Power BI, Tableau, Matplotlib, Seaborn.
Programming & Scripting
Python (Pandas, NumPy, Scikit-learn), SQL.
Soft Skills
Problem-Solving, Critical Thinking.
Machine Learning
Supervised Learning, Unsupervised Learning, Regression.
Database Management
MySQL, PostgreSQL.
Automation & ETL
Power Query, Python Automation.
Statistical Analysis
Hypothesis Testing, A/B Testing, Data Cleaning.