Focus : Machine learning algorithms and techniques, Advanced programming languages and tools
Specifications : Data Analyst, ML Engineer
Reading Novel, Travelling, Riding, Playing Badminton
With a passion for leveraging data for informed decision making, I am a data science professional with a Master's Degree in Data Science from CHRIST (Deemed to be University) Pune Lavasa Campus. I have gained practical experience in data collection, preprocessing, analysis, modeling, and visualization during my internship in data science and business analytics at The Sparks Foundation, where I applied machine learning algorithms to real-world challenges and communicated insights effectively. Additionally, I have contributed to the growth and expansion of BYJU'S, one of the leading education technology companies in India, as a senior business development associate. I utilized my market research, lead generation, client relationship management, and proposal development skills to drive business success in a collaborative and dynamic environment. I am skilled in programming and database management, and have multiple certifications in Python, face recognition, and game development. I am also experienced in analyzing complex data sets and utilizing data visualization techniques. I am seeking opportunities to contribute to organizations embracing data-driven approaches, where I can apply my skills and knowledge, learn from others, and make a positive impact. Let's connect and drive impactful outcomes together.
• Conducted in-depth research and analysis to support data-driven decision making processes, contributing to strategic initiatives and projects at CHRIST Consulting.
• Collaborated with cross-functional teams to gather and synthesize insights, enhancing the firm's ability to deliver comprehensive consulting solutions.
I contributed to the growth and expansion of the company by leveraging my market research, lead generation, client relationship management, and proposal development skills. I thrived in a collaborative and dynamic environment, constantly seeking ways to drive business success.
Completed multiple data science projects, including Exploratory Data Analysis on the Iris dataset and advanced machine learning models for predicting employee attrition and health risks, utilizing Python, Pandas, and Scikit-Learn.
Used Python and SQL to extract and analyze data.
Created visualizations with Tableau to present findings to stakeholders
• Utilized Python and SQL for data extraction and analysis. • Developed machine learning models and presented findings using Power BI.
Developed an advanced image classification and object detection model using deep learning techniques. The project involved using VGG16, a pre-trained convolutional neural network, to classify images into 102 different categories. Implemented data augmentation, feature extraction, and transfer learning to improve model accuracy.
• Extracted articles from specified URLs and conducted text analysis using a Python-based system. • Utilized web scraping techniques and natural language processing (NLP) for preprocessing. • Performed statistical analysis to compute variables for data-driven decision making.