Focus : AI in Healthcare
Specifications : Data Analytics, Machine Learning
Skills
Python, Microsoft Excel, Power BI, R Programming, SQL, No SQL, Basic Java, Machine Learning, Deep Learning, NLP,Languages
English, Hindi,Summary
As a passionate Data Science graduate student, I am seeking an entry-level opportunity with an esteemed organization where I can apply my skills to real-time projects and deepen my understanding of the field. I am eager to contribute to the team's success, driven by a strong desire to learn and grow continuously while making meaningful impacts through data-driven insights and solutions.
Education History
M.Sc. (Data Science) -
79 %
2023-08 /
2025-05
Christ (Deemed to be) University, Lavasa, Pune
B.Sc. (Hons.) Mathematics -
87 %
2019-07 /
2022-03
Delhi University
Internships
HR Analyst Intern -
Bajaj Allianz General Insurance Company, Pune
2024-07 /
2024-09
Computer Vision Intern -
Inferigence Quotient, Bangalore
- Automation of Reporting Process: Developed automation scripts using VBA macros in Excel to generate separate 2-year and 5-year reports, streamlining reporting workflows and reducing manual efforts.
- Job Evaluation (JE) Ticketing Tool: Designed and implemented a Job Evaluation (JE) ticketing tool using Microsoft Power Apps and Power Automate, allowing seamless submission, tracking, and management of job evaluation requests.
- Integration with Microsoft Ecosystem: Integrated the ticketing tool with Microsoft Teams and Outlook for real-time notifications and updates, enhancing communication between HRBPs and the talent management team.
2022-12 /
2023-02
- Collaborated on a client-bases Emotions Classifier Project
- Collected and processed data, including videos and audio, for training and testing the model.
- Performed rigorous testing of the emotion classifier to identify and rectify errors, ensuring robust performance across diverse datasets.
Projects
Web Project with Data Science
2024-08 /
Present
Python EDA Project
HealthPredict: Personalized Healthcare Solutions (Ongoing)
- Developing a personalized healthcare website leveraging data science and machine learning.
- Predicting disease risks based on user-provided health data.
- Suggesting personalized treatment plans and preventive measures.
- Enabling users to input health data and receive tailored insights.
- Utilizing classification and deep learning models to generate accurate health predictions.
2023-08 /
Present
Sentiment Analysis with Insights
Exploratory Data Analysis of Sleep Cycle Patterns Among Students at Christ University Lavasa
- Conducted an exploratory data analysis (EDA) on the sleep cycle of students residing in Lavasa.
- Collected data through a comprehensive survey of Christ University Lavasa students.
- Cleaned, preprocessed, and analyzed the dataset using statistical techniques.
- Visualized key trends and insights using data visualization tools such as Matplotlib, Seaborn, and Plotly.
- Identified patterns in sleep duration, bedtimes, wake-up times, and the impact of academic workload.
- Provided recommendations to improve student sleep habits based on findings.
2021-02 /
2021-05
E-Commerce Store Review Classification using Deep Learning Techniques
- Developing a sentiment analysis dashboard for an e-commerce client to analyze customer reviews.
- Preprocessing large datasets (14 GB Amazon Reviews Data) and balancing them for model training.
- Implementing machine learning and deep learning models using Bag of Words and transfer learning approaches.
- Deploying the dashboard using the Dash framework, enabling real-time sentiment analysis.
- Integrating a web scraper to collect and test review data from platforms like Flipkart and Etsy.