Charmi Divecha
Summary
Precocious Data Science Intern ready to accept increasingly complex challenges associated with maintaining and exploiting growing data stores. Driven to expand experience through hands-on training and guided participation in effective data management tasks.
Work History
Agrocel Industry
Job overview
1. Market Trend and Movement Analysis of Bromine Price
- Performed advanced time series analysis and forecasting of bromine prices using ARIMA and SARIMAX modeling in Python, showcasing strong quantitative and data analysis skills
- Utilized web scraping and sentiment analysis to collect and analyze news data, revealing insights on market sentiment effects on bromine prices
- Performed clustering and customer segmentation analysis on competitor data, providing strategic insights to company
2. HR Analysis Project
- Performed in-depth data-driven analysis at different organizational levels to identify performance gaps and understand why company was not achieving its target goals, showcasing strong problem-solving and analytical skills
Education
Narsee Monjee Institute of Management StudiesMumbai
Shri T. P. Bhatia College of ScienceMumbai
Skills
- Python
- R
- SQL
- C
- HTML
- CSS
- Power BI
- Excel
- Tableau
- MySQL
- Oracle
- PyCharm
- Jupyter Notebook
- Visual Studio Code
- Creative Thinking
- Problem Solving
- Skill Development
- Time Management
Projects
1. Integrating Forex Rate Projections and News Sentiment Analysis for Effective Risk Management, 01/2024, 04/2024
Finance,
- Leveraged web scraping, sentiment analysis, and time series forecasting to study the impact of news sentiment on currency exchange rate dynamics.
- Developed a comprehensive framework to detect financial crises and analyze the complex interplay of political, economic, and social factors influencing currency fluctuations.
- Technologies used: Python, PyCharm, VS Code
2. AI News Summarization, Headline Generation and Classification, 01/2023, 04/2023
Machine Learning,
- Developed a machine learning model proficient in summarizing articles, generating headlines, and accurately categorizing news articles using supervised and unsupervised machine learning algorithm.
- Developed a seamless web application connecting the machine learning models using HTML, CSS, and Flask framework.
- Technologies used: Python, PyCharm, VS Code, HTML, CSS
3. Pinterest Recommendation, 09/2022, 10/2022
Data Analysis using Python,
- Analyzed the working of machine learning algorithm for Pin Recommendation and developed a practical Web Scraping model for image extraction.
- Technologies used: Python
Certification
- Data Analytics Virtual Experiences Program - GE Aerospace
- Data Science Virtual Experiences Program - British Airways
- Web Scraping in Python Selenium, Scrapy - Udemy
Extracurricular Activities
- Machine Intelligence Research Labs (MIR Labs) - 23rd International Conference on Hybrid Intelligent Systems
- Hack-A-Stat 2024 - NMIMS
- Research Embedded Learning Poster Symposium - NMIMS
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