Mohit Khandelwal

Mohit Khandelwal

United States
886 followers 500+ connections

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About

I am a passionate software developer with expertise in web development, data analytics, and cloud computing. I have experience in developing robust and user-friendly applications for fintech and healthcare clients. With a recent Master's degree in Management Information Systems from the University at Buffalo, my expertise spans a wide array of technologies:

• Web Technologies: Node.js, React.js (Next.js), Express.js, RESTful APIs, GraphQL
• Languages: JavaScript, Python
• Databases: SQL, MongoDB, PostgreSQL
• Cloud Services: AWS, Azure

My professional experience includes tenures at CitiusTech and Tata Consultancy Services, where I developed scalable and user-friendly web applications, primarily for fintech and healthcare clients. I have a proven track record of optimizing applications to enhance user engagement and performance, focusing on innovative problem-solving and collaborative development.

Let's connect and discover opportunities to collaborate.
Email: [email protected].

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Activity

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Experience

  • CitiusTech Graphic

    CitiusTech

    Pune, Maharashtra, India

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    Mumbai, Maharashtra, India

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    Mumbai, Maharashtra, India

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    Mumbai

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    Bhopal Area, India

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Education

  • Graphic

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    Courses: Summer 2023:
    Database Management System
    System Analysis and Design

    Fall 2023:
    Distributed Computing and Big Data
    Cloud Data Warehousing and Data Engineering
    Healthcare Analytics
    Technology Innovation and Management

    Spring 2024:
    Cloud Computing
    Predictive Analytics
    Web Analytics for eCommerce
    IT Risk Management

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Licenses & Certifications

Projects

  • QuickBite: Food delivery app

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  • Medicare Population Patient Analysis

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    • Successfully identified cost-effective alternatives, driving a 30% reduction in overall treatment costs, while systematically pinpointing high-cost treatments and implementing lower-cost alternatives
    • Analyzed healthcare providers’ prescribing patterns, emphasizing cost-effective options and uncovering key insights on variations in drug prescriptions for similar treatments, assessing the effectiveness of economical alternatives
    • Utilized Pandas and SQL for data pre-processing…

    • Successfully identified cost-effective alternatives, driving a 30% reduction in overall treatment costs, while systematically pinpointing high-cost treatments and implementing lower-cost alternatives
    • Analyzed healthcare providers’ prescribing patterns, emphasizing cost-effective options and uncovering key insights on variations in drug prescriptions for similar treatments, assessing the effectiveness of economical alternatives
    • Utilized Pandas and SQL for data pre-processing, cleaning and filtering, ensuring HIPAA compliance on 4.2 million datasets of 50,000+ members, and leveraged Tableau for comprehensive data analysis

    Other creators

  • Talend-Oracle Cloud ETL Implementation for seamless data management

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    • Designed and implemented a data model for a retail firm's data warehouse on Oracle Cloud, streamlining the Extraction, Transformation, and Loading (ETL) process for sales data through the development of data pipelines using Talend
    • Integrated the data warehouse with Tableau to enhance visualization capabilities and enable advanced business intelligence functions

  • Metro Railway Database Management System

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    • Designed a database system for Metro Railway Management to enhance operational efficiency and revenue generation using SQL and BI tools.
    • Developed entity-relationship diagrams to model business logic and data relationships, creating facts and dimension tables to optimize data storage and retrieval.
    • Conducted data analysis and visualization on various aspects including train operations, station management, ticketing, scheduling, passenger demographics, and security information to…

    • Designed a database system for Metro Railway Management to enhance operational efficiency and revenue generation using SQL and BI tools.
    • Developed entity-relationship diagrams to model business logic and data relationships, creating facts and dimension tables to optimize data storage and retrieval.
    • Conducted data analysis and visualization on various aspects including train operations, station management, ticketing, scheduling, passenger demographics, and security information to drive strategic decisions and improve overall system efficiency.

    Other creators

  • Wisconsin Breast Cancer Prediction

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    • Performed Exploratory Data Analysis using Pandas, NumPy, Matplotlib, and Seaborn on a UCI ML repository dataset with 30 features and 569 data points
    • Developed predictive models, employing Logistic Regression and Random Forest Classifier, achieving a notable 97.37% accuracy in predicting cancer diagnoses through advanced optimization techniques like RandomizedSearchCV and GridSearchCV

    Other creators

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