Anupam Srivastava

A highly motivated engineering post graduate with a solid foundation in computer science and expertise in data science, seeking challenging roles in software development. Proficient in languages such as Python, Core Java, and SQL, I possess a keen eye for detail and a passion for developing efficient and innovative software solutions. Confident in ability to handle complex data analysis and management tasks. A self-starter, quick learner, and collaborative team player, eager to leverage technical skills and knowledge to contribute to the growth and success of an innovative software organization.

Google Data Analytics Professional Certificate.

Appreciation certificate received from GlobalLogic for the commendable efforts and dedication toward work.

• IDS (INTRUSION DETECTION SYSTEM)
  Environment: Python compiler amd | Language: Python
  Developed an Intrusion Detection System using Python and honey pots to monitor
  events and alerts and detect various types of malicious network traffic including
  attacks against host-based systems such as unauthorized logins, access to
  sensitive files, and malware.
• FAKE NEWS DETECTION USING SEARCH ENGINE OPTIMIZATION THROUGH ML
  Environment: Google Colab (Jupyter) | Language: Python, Machine Learning
  Built a binary classification system to detect fake news using Machine Learning
  techniques such as Natural Language Processing and supervised learning. The
  project involved training various ML models using Python and Google Colab and
  analyzing the difference in sounds of fake and real news articles.
• SOLAR RADIATION PREDICTION USING BAGGING ALGORITHM OF DIFFERENT TECHNIQUES
  Environment: Jupyter Notebooks| Language: Python, Machine Learning
  Implemented machine learning algorithms and bagging classifiers to predict solar
  radiation based on monthly data and analyzed the correlation among various
  factors affecting solar radiation. Developed a Bagging Classifier in Python to
  achieve higher accuracy.