Rupali Ramraika

To do my work honestly and achieve a higher level of success with hardworking and dedication and work well with my team people for the growth of organization. Respectful self-motivator gifted at finding reliable solutions for software issues. Experienced in Business Analytics and Data Analytics . Release-planning specialist trained in advanced Excel modeling. Creative solutions architect with real-time problem-solving flexibility.

• Certified course in French Language
• Certificate of Merit for first prize in Inter School Competition for Essay writing
• Certificate of Merit for third prize in college technical fest in Exhibition section
• ESSAY Competition winner at district level (second position)
• SPEECH Competition winner at district level (third position)
• Win many Art and Craft Competition
• Teaching at college and government school during college times

Computer Science 

**Areas of Interest:**

- **Data Visualization:** Creating compelling visualizations to communicate complex data insights effectively using tools like Power BI and Tableau.

- **Data Cleaning and Preprocessing:** Implementing robust data cleaning techniques to ensure data quality and reliability for analysis.

- **Statistical Analysis:** Applying statistical methods to identify patterns, correlations, and trends in data sets to support business strategies.

- **Predictive Modeling:** Developing and refining predictive models to forecast trends and make informed business decisions.

- **Artificial Intelligence (AI) and Machine Learning:** Exploring AI-driven solutions and machine learning algorithms to automate processes, enhance data analysis, and uncover hidden patterns in data.

- **Data Storytelling:** Transforming data into actionable insights through storytelling to influence decision-making processes.

- **SQL and Database Management:** Leveraging SQL for data retrieval, manipulation, and database management to support analytical tasks.

- **Business Process Optimization:** Utilizing data analytics and AI techniques to identify inefficiencies and streamline business operations for improved performance.

- **Continuous Learning:** Staying updated with the latest trends, tools, and techniques in data analytics and AI to enhance skills and contribute to innovative projects.

- **Programming Languages and Technologies:**
 - Python
 - SQL

- **Data Analysis and Visualization Tools:**
 - Excel
 - Advanced Excel
 - Power BI
 - Tableau

- **Machine Learning and AI:**
 - Machine Learning
 - Deep Learning
 - Natural Language Processing (NLP)
 - Generative AI

• Date of Birth: 04/02/1993
• Gender: Female
• Nationality: Indian

• Yoga: Regularly practiced yoga to maintain physical fitness, mental well-being, and a balanced lifestyle.
• Art and Craft: Engaged in various art and craft projects, exploring creativity and innovation through hands-on artistic expression.
• Cooking and Ice Cream Making: Experimented with different culinary techniques and recipes, focusing on healthy eating and creative dessert-making.
• Writing: Cultivated a passion for writing, contributing articles and creative pieces to college magazines, blogs, and literary forums to enhance communication and storytelling skills.
• Continuous Learning: Dedicated to staying up-to-date with the latest advancements in technology, actively participating in online courses, workshops, and tech conferences to acquire new skills, such as machine learning, cloud computing, and web development.
• Volunteer Work: Participated in various community service activities, including volunteering at local food drives, blood donation camps, and cleanliness drives, demonstrating a commitment to social responsibility and community development.

**1. SQL Management App**
- **Brief description**: Developed an interactive application to manage SQL databases, enabling users to perform CRUD operations, execute queries in English, and visualize data using Streamlit and Google Gemini.
- **Key achievements**:
 - Designed and implemented an intuitive interface, improving user experience and increasing efficiency.
 - Integrated Google Gemini for natural language query processing, enhancing accessibility for non-technical users.
 - Utilized Streamlit to create customizable data visualizations, enabling better data-driven decision-making.



**2. MultiApp for Chat with CSV, PDF, or Any Image**
- **Brief description**: Developed an interactive application that enables users to extract and process data from various file formats such as CSV, PDF, and images, facilitating seamless data analysis and communication.
- **Key achievements**:
 - Implemented advanced data extraction techniques to handle different file formats efficiently.
 - Designed an intuitive user interface to enhance user experience and promote productivity.
 - Utilized natural language processing to facilitate chat-based data querying and analysis.
 - Integrated visualization features to enable users to explore data insights interactively.



**3. Google Gemini Diabetes Management**
- **Brief description**: Developed an innovative application utilizing Google Gemini for image-based food recognition and personalized recommendations to assist users in managing their diabetes.
- **Key achievements**:
 - Integrated Google Gemini's image recognition capabilities to accurately identify food items from user-uploaded images.
 - Implemented personalized recommendation algorithms to suggest appropriate food choices based on user preferences and dietary requirements.
 - Designed a user-friendly interface to enhance accessibility and encourage user engagement in self-management.
 - Conducted user testing and incorporated feedback to ensure the application's effectiveness and user satisfaction.



**4. Resume Screening App**
- **Brief description**: Developed a machine learning-based application for automating resume screening, enabling recruiters to efficiently identify and shortlist suitable candidates.
- **Key achievements**:
 - Implemented natural language processing techniques to extract relevant information from resumes.
 - Utilized machine learning algorithms to rank and score candidates based on job requirements and qualifications.
 - Designed an intuitive user interface to streamline the screening process and improve recruiter productivity.
 - Conducted performance evaluations to ensure the app's accuracy and efficiency in identifying top talent.


**5. Stroke Prediction App**
- **Brief description**: Developed a predictive analytics application to assess individual stroke risk based on health indicators and lifestyle factors, empowering users to take preventive measures and improve health outcomes.
- **Key achievements**:
 - Utilized machine learning algorithms to analyze health data and identify key risk factors associated with stroke.
 - Implemented personalized risk assessment models to provide tailored recommendations for stroke prevention.
 - Integrated real-time data visualization to enable users to monitor their health indicators and track progress.
 - Designed a user-friendly interface to promote engagement and adherence to recommended preventive measures.



**6. Microsoft Stock Price Prediction App**
- **Brief description**: Developed a predictive analytics application to forecast Microsoft (MSFT) stock prices using historical stock data and machine learning algorithms, aiding investors in making informed decisions.
- **Key achievements**:
 - Implemented machine learning models to analyze historical stock prices and forecast future trends.
 - Utilized data visualization tools to present price predictions and performance insights in an easy-to-understand manner.
 - Integrated real-time stock data to ensure the application provided up-to-date information.
 - Achieved a prediction accuracy of [insert accuracy percentage] during model testing.



**7. Power BI and Excel Dashboards for Employee Attrition**
- **Brief description**: Developed interactive dashboards using Power BI and Excel to visualize and analyze employee attrition trends, enabling HR managers to identify risk factors and implement targeted retention strategies.
- **Key achievements**:
 - Utilized Power BI to create dynamic, customizable dashboards for tracking key employee attrition metrics and KPIs.
 - Implemented data-driven insights to identify patterns and trends in employee turnover.
 - Developed Excel-based reports to monitor the effectiveness of retention initiatives and inform decision-making.
 - Collaborated with cross-functional teams to address identified risk factors and improve employee retention.