SHASHANK MISHRA

Detail-oriented and analytical B.Tech Computer Science student with practical experience in Data Engineering, Data Science, Analytics, and Full-Stack Web Development. Skilled in designing ETL pipelines, creating predictive ML models, and presenting data-driven insights using Power BI, SQL, and Python. Completed over 10 internships with hands-on exposure to Apache Airflow, Pandas, NumPy, scikit-learn, React.js, and the MERN stack. Proficient in developing dashboards, automating pipelines, and deploying full-stack applications with API integration and responsive UI/UX. Recognized for strong problem-solving abilities, data storytelling skills, and a collaborative approach across functions. Actively pursuing internship or entry-level opportunities within Data Engineering, Data Science, or Analytics.

• Structured Problem Solving
• Data-Driven Decision Making
• Communication & Teamwork
• Growth & Digital Mindset
• Adaptability to New Tools & Technologies

• Earned Google Analytics certification for web traffic and goal tracking analysis.
• Completed Cisco certifications in data science and networking fundamentals.
• Certified in Microsoft Power BI for dashboards, DAX, and data modeling.
• Attended advanced Power BI workshops covering DAX, slicers, and report design.
• Completed AWS ML Foundations course with SageMaker and supervised learning models.
• Achieved Alteryx Designer Core certification in data cleansing and transformation workflows.
• Graduated from McKinsey Forward Program in structured thinking and communication.
• Completed Udemy Data Science course on Python, ML, and model tuning.
• Built spam classifier, score predictor, recommender, and weather forecasting applications.
• Developed customer segmentation and sales forecasting models using clustering and regression.
• Delivered Power BI capstone dashboard project for consolidated business performance analysis.

Core Skills and Technical Competencies:

Data Science and Machine Learning:
Predictive modeling, supervised and unsupervised learning, classification and regression, model training and evaluation, feature engineering, machine learning deployment, machine learning workflow using AWS, cross validation

Data Analysis and Visualization:
Exploratory data analysis (EDA), data wrangling and cleaning, statistical analysis, correlation analysis, business intelligence, insight generation, KPI tracking, trend forecasting, data reporting, dashboard creation, data storytelling

Tools and Technologies:
Python, SQL, Jupyter Notebook, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Power BI, Tableau, Excel, Apache Airflow, Google Analytics, Alteryx Designer, AWS SageMaker

Data Engineering and ETL:
ETL and ELT pipelines, data pipelines, Apache Airflow, SQL optimization, data structuring, cloud concepts

Full Stack Development (MERN):
HTML, CSS, JavaScript, React.js, Node.js, Express.js, MongoDB, responsive design, UI and UX principles, version control using Git and GitHub, deployment and debugging

API and Integration:
RESTful API design, integration testing, Postman, full stack integration

Development and Workflow Tools:
VS Code, Git, GitHub, Postman, agile tools, digital collaboration platforms

Networking and Infrastructure:
OSI and TCP/IP models, routing and switching fundamentals, IP addressing and subnetting, network topologies

Business and Communication Skills:
Structured problem solving, critical thinking, effective communication, professional presentation, digital storytelling, growth mindset, collaboration in agile teams