Conducted a comprehensive market segment analysis for startups in the electric vehicle industry. Collected and analyzed data from various sources to generate actionable insights, demonstrating proficiency in market research. Provided strategic recommendations that translate data into business value. Showcased versatility by applying analytical skills within a specific industry. This project reflects my ability to drive informed decision-making through data analysis.
Python
Numpy
Pandas
Matplotlib
Seaborn
PCA
Conducted a comprehensive market analysis to assess the distribution and availability of agricultural resources in India. Demonstrated expertise in market research by analyzing resource distribution effectively. Generated valuable insights from market data, showcasing strong data interpretation skills for strategic decision-making. This project highlights my ability to apply analytical techniques in the agricultural sector.
Python
Numpy
Pandas
Matplotlib
Seaborn
PCA
Analyzed market segments within the food industry to deliver actionable business insights for McDonald's. Conducted segmentation analysis to understand market dynamics, showcasing strong analytical skills. Generated strategic recommendations based on findings, demonstrating the ability to influence business decisions with data. This project highlights my expertise in market analysis and its practical applications in the food sector.
Python
Numpy
Pandas
Matplotlib
Seaborn
PCA
Built a product sales analysis dashboard, learning DAX measures for insightful calculations and adeptly establishing relationships between tables. This comprehensive dashboard offers insightful data visualization and analysis for sales performance. I used diverse slicers and filters to help analyze metrics, trends, and make informed business decisions.
PowerBI
DAX Measures
Implemented a freshness detection system for fruits and vegetables using OpenCV and TensorFlow for image analysis, integrated with PostgreSQL and Django for data management, optimizing quality assessment processes with 95% accuracy.
Python
Tensorflow
PostgreSQL
Django
OpenCV
Developed a brand identification system leveraging OpenCV and PaddleOCR for image processing, integrated with PostgreSQL and Django for backend management, which improved automated brand recognition and categorization accuracy to 95%.
Python
openCV
PaddleOCR
PostgreSQL
Django
Gemini API
Developed a Django-based web application to classify plant diseases and recommend remedies using OpenCV and TensorFlow for image analysis, and Gemini for report generation and remedy details. Achieved 98% accuracy with PostgreSQL as the database, enhancing agricultural efficiency through precise diagnosis and treatment recommendations.
Python
Tensorflow
Keras
CNN
Django
Gemini API
Twitter Sentiment Analysis Web App—a comprehensive platform that leverages logistic regression to classify tweets as positive or negative. This end-to-end data analysis tool offers a seamless user experience, allowing you to input individual tweets or upload Excel sheets for bulk sentiment analysis.
Python
Numpy
Pandas
regex
NLP
TfidfVectorizer
sklearn
Logistic Regression
Streamlit
Developed a stock trend prediction web application using financial data and an LSTM model to analyze and forecast market trends. Deployed on Streamlit, the app visualizes original vs. predicted stock values for actionable insights.
Python
NumPy
Pandas
Matplotlib
Streamlit
A video streaming website where you can post your thoughts as well. [Twitter + YouTube ]
html
css
javascript
react.js
express.js
mongoDB
