About
Entry - level Engineering Graduate seeking opportunities in Data Analytics. Eager to apply Python-based Data Analysis, Machine Learning fundamentals, and Data Visualization skills in a dynamic professional environment
Work
Pune, Maharashtra, India
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Summary
Gained hands-on exposure to manufacturing processes and quality control within an electrical engineering environment.
Highlights
Observed and documented manufacturing processes, including PCB production, ensuring adherence to quality control standards.
Acquired practical understanding of industrial workflows and operational best practices in a real-world setting.
Pune, Maharashtra, India
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Summary
Explored automotive interior manufacturing systems, gaining insight into large-scale production environments.
Highlights
Gained exposure to automotive manufacturing systems, observing production processes and supply chain dynamics.
Understood the intricacies of quality assurance and operational efficiency within a global manufacturing facility.
Pune, Maharashtra, India
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Summary
Assisted with technical and system-related tasks, contributing to efficient industry workflows and documentation practices.
Highlights
Gained exposure to essential industry workflows, technical documentation, and collaborative team environments.
Supported basic technical and system-related tasks, enhancing operational efficiency under direct supervision.
Nagpur, Maharashtra, India
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Summary
Performed in-depth exploratory data analysis on real-world datasets, extracting actionable insights to inform strategic decision-making.
Highlights
Conducted comprehensive Exploratory Data Analysis (EDA) on the Titanic dataset using Python, revealing key survival trends based on passenger attributes.
Cleaned and prepared raw data, utilizing Pandas and NumPy for robust data manipulation and feature engineering.
Developed insightful visualizations with Matplotlib and Seaborn, effectively communicating complex data patterns and trends.
Education
Languages
English
Hindi
Marathi
Skills
Programming & Data Analysis
Python, SQL.
Libraries & Data Visualization
NumPy, Pandas, Matplotlib, Seaborn.
Machine Learning Concepts
Supervised Learning, Classification, Regression.
Data Preprocessing & Model Evaluation
Data Cleaning, Feature Engineering, Model Validation.
Data Handling
File Handling in Python.
Business Intelligence & Reporting Tools
Power BI, MS Excel.
Development & Analysis Tools
Jupyter Notebook, Visual Studio Code (VS Code), MySQL, Power BI Desktop.
Core Data Analytics
Data Analysis, Predictive Modeling, Data Visualization, Problem Solving, Analytical Thinking, Statistical Analysis.