KIRAN ANTOSE

Experience

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  Oberoi Hotels & Resorts

  Jul 2020 - Sept 2020

  Finance Internship

  Worked closely with the Chief Financial Officer (CFO), gaining hands-on experience in the day-to-day operations of the hotel’s finance team. • Developed an understanding of financial reporting, including analyzing balance sheets and public records for a publicly listed company. • Gained exposure to stock market regulations and corporate financial disclosures, enhancing knowledge of public company operations. • Participated in cross-functional discussions with the marketing team, improving my understanding of interdepartmental collaboration. • Learned key aspects of financial strategy and budgeting within the hospitality industry, focusing on revenue management and cost control. • Developed business communication skills by engaging with leadership and various departments, gaining insight into corporate decision-making. Show less

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  Roots Cafe, UMass Amherst

  Feb 2022 - Oct 2023

  Resources Manager

  As a Resource Manager, I managed inventory tracking and maintained accurate records of daily transactions to ensure seamless operations. • Oversaw inventory control, ensuring stock levels met demand while minimizing waste and inefficiencies. • Worked directly with customers, understanding their needs and providing tailored solutions to enhance satisfaction. • Collaborated with internal teams to optimize resource allocation and streamline supply chain processes. • Utilized data-driven insights to forecast inventory needs and prevent shortages or overstocking. • Maintained detailed transaction logs, ensuring transparency and compliance with operational policies. • Developed strong problem-solving skills by addressing customer inquiries and resolving inventory discrepancies in real-time. Show less

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  St Johns Medical College -Dept of Hospital Administration

  Aug 2022 - Jan 2023

  Operations & Welfare Equity Intern

  Specialized in managerial and financial operations within the hospital and medical college domain, focusing on expense optimization and revenue growth. • Analyze expenditure sheets for medicines and fixed costs, identifying opportunities to reduce expenses and improve financial efficiency. • Proactively source cost-effective procurement solutions, securing better prices that directly enhance revenue and budget allocation. • Collaborate with the welfare team to ensure affordable healthcare and accessible medicine for underserved communities. • Merge financial acumen with societal impact, driving initiatives that balance operational efficiency with patient care affordability. • Utilize data-driven decision-making to enhance cost management strategies and support long-term financial sustainability in healthcare institutions. Show less

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  3AG Healthcare Solutions

  Jun 2023 - Jan 2025

  Data Analyst

  Analyzed 9M+ patient records and insurance billing cycles at the 3AG Healthcare Solutions Wing, optimizing revenue cycle management processes. • Developed interactive dashboards in Power BI and Tableau, enhancing stakeholder visibility into operational trends and financial performance. • Utilized Natural Language Processing (NLP) to improve data accuracy and operational insights by 25%, reducing manual data discrepancies. • Built predictive models using linear regression and machine learning algorithms, optimizing billing cycle accuracy and reducing claim denials. • Conducted trend analysis on insurance claims and reimbursements, identifying inefficiencies and recommending process improvements. • Designed automated data pipelines for real-time monitoring of key financial and operational metrics, improving reporting efficiency. • Implemented SQL-based data extraction and cleaning techniques to ensure high-quality data processing and analysis. • Optimized revenue forecasting models, enabling proactive financial planning for stakeholders. • Led data-driven strategy discussions with leadership, translating analytics into actionable insights to improve billing accuracy and cash flow. • Assisted in the integration of AI-driven analytics tools, enabling predictive modeling for denial management and patient payment behavior. • Conducted statistical analyses to measure the impact of RCM initiatives, ensuring data-backed decision-making. • Collaborated with finance, operations, and IT teams to align analytical models with business objectives and optimize workflows. Show less

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  University of Massachusetts Amherst

  Aug 2023 - May 2024

  Head Graduate Teaching Assistant

  As Head Graduate Teaching Assistant for MGMT 602, I lead instruction in SQL, Tableau, and MS Access, ensuring graduate students develop both technical proficiency and analytical expertise. • Guide students through complex data scenarios, helping them apply industry-standard tools to real-world business challenges. • Enhance decision-making capabilities by fostering a hands-on, problem-solving approach to data analysis. • Play a key role in curriculum development, integrating theoretical concepts with practical applications to optimize learning outcomes. • Create an engaging and supportive learning environment that empowers students to navigate and interpret data with confidence. • Provide mentorship and guidance to graduate students, refining their technical skills and preparing them for data-driven roles in their careers. Show less

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  Amazon

  Jan 2024 - May 2024

  Business Data Analyst & NLP Research

  Developed a sentiment analysis model to analyze customer reviews and feedback on Amazon Echo, leveraging NLP and machine learning techniques for a masters-level AI class using data from Amazon. • Utilized Spacy, NLTK, and Transformer-based models to extract sentiment trends and key customer insights. • Built and fine-tuned classification models using TF-IDF, Word2Vec, and BERT, achieving high accuracy in sentiment prediction. • Applied topic modeling (LDA) and named entity recognition (NER) to identify common themes and user concerns in product feedback. • Processed and cleaned large-scale Amazon review datasets using Python (Pandas, NumPy) and SQL, ensuring high-quality data for analysis. • Designed an automated pipeline for data preprocessing, model training, and sentiment visualization. • Created interactive Power BI dashboards to present key insights, helping improve customer sentiment analysis and product development strategies. • Conducted comparative analysis of NLP models, evaluating performance metrics to determine the most effective approach for sentiment classification. Show less

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  CarGurus

  Sept 2024 - Dec 2024

  Product Data Analyst & ML Research

  Developed an AI-driven car price prediction model using data from CarGurus While pursuing my MSBA for a Masters Level Data Science class, achieving 94% accuracy, by leveraging over 50 KPIs and hyperparameters such as compression ratios, engine specifications, and vehicle performance metrics—providing granular insights not commonly utilized by industry leaders. • Engineered and fine-tuned advanced machine learning models using Python, including XGBoost, Random Forest, and Neural Networks, to optimize price forecasting. • Implemented K-Fold Cross-Validation to enhance model generalizability and improve predictive stability. • Conducted feature engineering and hyperparameter tuning to extract the most impactful variables, improving the model’s robustness. • Designed and built an interactive front-end interface for real-time price estimation, making the model user-friendly and accessible to non-technical stakeholders. • Utilized SQL and Pandas to preprocess and analyze large-scale vehicle datasets, ensuring high data integrity and reliability. • Developed automated visualization dashboards using Power BI and Matplotlib, allowing seamless interpretation of pricing trends and market dynamics. • Took the project beyond traditional predictive modeling by integrating industry-specific insights and ensuring adaptability to evolving market conditions. Show less