SHASHANK MISHRA

SHASHANK MISHRA

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Tamil Nadu, India

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Résumé


Jobs verified_user 0% verified
  • Future Interns
    Data Science & Analytics Intern
    Future Interns
    Apr 2025 - Current (1 year 3 months)
    • Collaborated on end-to-end data science projects, contributing to data collection, preprocessing, analysis, and model deployment to support strategic business decisions. • Conducted sentiment analysis on social media data using NLTK, regex, and TF-IDF, uncovering public opinion trends and presenting insights to the team. • Developed interactive dashboards using Matplotlib, Seaborn, and Power BI, enabling data-driven decision-making through clear, actionable visualizations. • Implemented robust data preprocessing pipelines to clean, transform, and structure raw datasets, ensuring high-quality inputs for analysis and modeling. • Designed and optimized machine learning models using scikit-learn, supporting business objectives by providing pr
  • Elevate Labs
    Data Analyst Intern
    Elevate Labs
    Apr 2025 - Current (1 year 3 months)
    •Conducted comprehensive exploratory data analysis (EDA) on the Bank Marketing dataset using Pandas, Matplotlib, and Seaborn to identify trends, customer behaviors, and key insights. •Applied data preprocessing techniques including handling missing values, encoding categorical variables, and feature scaling to prepare high-quality inputs for modeling. •Built and evaluated machine learning models such as Decision Trees and Logistic Regression using scikit-learn, achieving strong classification performance. •Used SHAP (SHapley Additive exPlanations) for model interpretability, offering transparency in how features influenced predictions and aiding in stakeholder communication. •Designed and published an interactive Power BI dashboa
  • Prodigy InfoTech
    Data Science Intern
    Prodigy InfoTech
    Apr 2025 - May 2025 (2 months)
    • Conducted Exploratory Data Analysis (EDA) on large datasets such as global population trends using Pandas, NumPy, Matplotlib, and Seaborn to identify key patterns and trends. • Built machine learning models with scikit-learn, including Decision Trees, to predict customer behavior and support data-driven strategies. • Applied advanced data cleaning and preprocessing techniques to manage missing values and outliers, significantly improving model performance and accuracy. • Designed interactive dashboards using Power BI, effectively communicating insights to non-technical stakeholders and aiding strategic planning. • Participated in end-to-end data science workflows from data wrangling to modeling and visualization gaining practical expe
  • M
    Data Science Trainee
    MedTourEasy
    Feb 2025 - Mar 2025 (2 months)
    As a Data Science Trainee at MTE, I engaged in an immersive, hands-on program designed to build strong foundational and applied skills in data science, machine learning, and analytics. The traineeship involved real-world problem-solving, industry-relevant tools, and end-to-end project development. Key Responsibilities & Achievements: •Successfully developed and deployed a project titled “Analysis of Chemical Component,” where I performed comprehensive data analysis on chemical datasets to uncover patterns, anomalies, and correlations. •Applied data preprocessing, feature engineering, exploratory data analysis, and visualization techniques to derive actionable insights from complex chemical data. •Built and fine-tuned machine learni
  • M
    Data Engineer Trainee
    MedTourEasy
    Feb 2025
    As a Data Engineering Trainee at MedTourEasy, I engaged in a focused, hands-on program aimed at equipping me with essential skills in data pipelines, data transformation, and scalable infrastructure. Under professional supervision, I contributed to the development of a real-world capstone project. Key Responsibilities & Achievements: -> Successfully contributed to a capstone project involving the design and implementation of data workflows for optimized processing and storage. -> Gained experience in managing structured and unstructured data using ETL (Extract, Transform, Load) pipelines. -> Utilized tools such as Apache Spark and SQL for data manipulation and analysis. -> Implemented data cleaning and transformation scripts to
  • C
    Web Development Intern
    CloudWireHub
    Jan 2025 - Current (1 year 6 months)
    • Developing and maintaining responsive, user-friendly web interfaces using HTML5, CSS3, and JavaScript, contributing to live projects and internal tools. • Collaborating on ongoing web development tasks, focusing on frontend development and enhancing website performance, accessibility, and mobile responsiveness. • Integrating APIs and working on feature enhancements to improve the user experience across various devices and browsers. • Using GitHub for version control and working in a collaborative development environment with regular code reviews and feedback. • Authoring in-depth technical articles on Artificial Intelligence, Cloud Computing, Cybersecurity, and Software Development trends, making complex topics accessible to a broader aud
  • Unified Mentor Private Limited
    Full Stack Developer
    Unified Mentor Private Limited
    Aug 2024 - Oct 2024 (3 months)
    •Developed a fully functional Student-Teacher Appointment Booking System using HTML, CSS, JavaScript, and Firebase, incorporating features such as teacher scheduling, student appointment booking, and admin approvals. •Built a responsive Blogging Website leveraging modern web development technologies, allowing users to create, edit, and comment on blog posts with enhanced user experience and navigation. •Designed and implemented a Basic Calculator with JavaScript, focusing on efficient algorithms and a clean user interface. •Gained hands-on experience in frontend and backend development, working on technologies like JavaScript, PHP, and MySQL, with a focus on creating scalable and user-centric web applications. •Collaborated with peers a
Education verified_user 0% verified
  • SRM IST Chennai
    Bachelor of Technology - BTech, Computer Science
    SRM IST Chennai
    Aug 2022 - Current (3 years 11 months)
    Skills: HTML · Systems Engineering · C (Programming Language) · Java · PHP · Python (Programming Language) · Cascading Style Sheets (CSS)
Projects (professional or personal) verified_user 0% verified
  • Prodigy InfoTech
    https://github.com/mshashank559?tab=repositories
    Prodigy InfoTech
    Apr 2025 - May 2025 (2 months)
    Conducted Exploratory Data Analysis (EDA) on large datasets such as global population trends using Pandas, NumPy, Matplotlib, and Seaborn to identify key patterns and trends. • Built machine learning models with scikit-learn, including Decision Trees, to predict customer behavior and support data-driven strategies. • Applied advanced data cleaning and preprocessing techniques to manage missing values and outliers, significantly improving model performance and accuracy. • Designed interactive dashboards using Power BI, effectively communicating insights to non-technical stakeholders and aiding strategic planning. • Participated in end-to-end data science workflows from data wrangling to modeling and visualization gaining practical experie
  • F
    https://github.com/mshashank559?tab=repositories
    Future Intern
    Apr 2025 - May 2025 (2 months)
    Passionate B.Tech CSE student with a strong commitment to learning and innovation. Check out my GitHub profile , where I showcase hands-on projects in Java, Python, and C++. Currently exploring diverse realms of computer science, I am eager to contribute to collaborative projects and leverage my coding skills. Open to networking and exploring opportunities in software development.
  • Elevate Labs
    https://github.com/mshashank559?tab=repositories
    Elevate Labs
    Apr 2025 - Current (1 year 3 months)
    Conducted comprehensive exploratory data analysis (EDA) on the Bank Marketing dataset using Pandas, Matplotlib, and Seaborn to identify trends, customer behaviors, and key insights. •Applied data preprocessing techniques including handling missing values, encoding categorical variables, and feature scaling to prepare high-quality inputs for modeling. •Built and evaluated machine learning models such as Decision Trees and Logistic Regression using scikit-learn, achieving strong classification performance. •Used SHAP (SHapley Additive exPlanations) for model interpretability, offering transparency in how features influenced predictions and aiding in stakeholder communication. •Designed and published an interactive Power BI dashboard t