A lifelong learner currently immersed in the fascinating worlds of Data Science and Machine Learning. I bring a unique perspective by blending a background in Psychology with technical expertise to create data-driven solutions that are both efficient and human-centric.

With experience in technical support analyst and currently as a Service Advisor at British Airways (Call BA), I've honed my analytical skills in real-world scenarios, including fraud detection, chargeback processing, and enhancing customer experiences. My passion lies in leveraging data to solve complex problems and derive actionable insights.

• 🎓 Current Education: BS in Data Science and Applications, IIT Madras (Ongoing).
• 🧠 Background: BA in Psychology (IGNOU), providing a strong understanding of human behavior and cognitive processes.
• 🛠️ Current Role: Service Advisor at Call BA - Subsidiary of British Airways, focusing on investigating fraudulent transactions, chargeback processing, and fare regulation adherence using Amadeus.
• 💡 Previous Role: Senior Technical Analyst at Ienergizer IT Services Private Limited, where I enhanced user experience for a global gaming community, ensured data privacy (GDPR, CISPA, COPPA, LGPD), and contributed to financial fraud prevention.
• 🎯 Objective: To integrate my technical acumen and psychological insights to build empathetic, user-focused, and impactful data science and AI solutions.

Following "The Ultimate Learning Path to Data Science & ML Engineering on GCP," with a strong focus on practical application and portfolio building. My current educational pursuits include:

• 🎓 IBM Data Science Professional Certificate (Coursera): Actively working through modules covering the entire data science lifecycle. Currently tackling projects like the SpaceX Launch Success Prediction Capstone.

  • Key areas: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn (basics), SQL, Data Collection (Web Scraping, APIs), Data Wrangling, EDA, Interactive Visualizations (Folium, Plotly Dash), Predictive Modeling.

• 📚 Applied Data Science with Python Specialization by University of Michigan (Coursera): Deepening my Python skills for data science, focusing on advanced library usage (Pandas, Matplotlib, Seaborn, Scikit-learn in-depth) and exploring areas like Natural Language Processing (NLTK) and Network Analysis (NetworkX).

• 🤖 Machine Learning Specialization by University of Washington (Coursera): Building a strong theoretical understanding of core machine learning algorithms (Regression, Classification, Clustering) and their practical applications through case studies.

• 🚀 Exploring:

  • Advanced Machine Learning techniques and preparing for Deep Learning fundamentals.
  • Cloud technologies, with an initial focus on understanding how ML concepts translate to cloud environments like Google Cloud Platform (GCP).

• 💻 Key Projects in Progress/Completed (from IBM Cert & Learning Path):

  • SpaceX Falcon 9 Launch Analysis & Prediction:
    • Collected launch data via web scraping (Wikipedia) and SpaceX API.
    • Performed extensive data wrangling and feature engineering.
    • Conducted EDA using SQL and Python (Matplotlib, Seaborn).
    • Built interactive maps with Folium to visualize launch sites and outcomes.
    • Developed an interactive dashboard with Plotly Dash for launch analytics.
    • Applied classification algorithms (Logistic Regression, SVM, Decision Trees, KNN) to predict first-stage landing success, including hyperparameter tuning and model evaluation.
  • (Soon to explore/currently exploring based on learning path):
    • EDA on Titanic Dataset / SQL Analysis of IMDb Movie Data.
    • Global CO2 Emissions Data Visualization Dashboard.

• Programming & Data Manipulation: Python (Pandas, NumPy), SQL
• Data Visualization: Matplotlib, Seaborn, Plotly, Folium
• Machine Learning: Scikit-learn (Regression, Classification, Clustering - basics and growing)
• Web Development (Learning/Exploring): HTML (basics for Dash), Dash for web analytic applications
• Tools & Platforms: Jupyter Notebooks (as part of IBM cert), GitHub, Google Workspace, Microsoft Excel
• BI Tools: Power BI
• Domain Specific: Amadeus (from BA role), Zendesk (from certification)
• Soft Skills & Others: Technical Support, Customer Experience Enhancement, Fraud Prevention, Financial Analytics, Data Privacy Regulations (GDPR, CISPA, COPPA, LGPD), Problem Solving, Analytical Thinking, Game Moderation.

• IBM Data Science Professional Certificate
• Google Data Analytics Professional Certificate
• Google Advanced Data Analytics Professional Certificate
• Microsoft Power BI Data Analyst Professional Certificate

• Projects involving data analysis, machine learning, or interactive data visualization, especially those with a social impact or a psychological component.
• Open-source data science projects where I can contribute and learn.
• Projects related to ethical AI and bias detection/mitigation.

• Advanced MLOps concepts and best practices for deploying models on cloud platforms like GCP.
• Deepening my understanding of specific deep learning architectures (e.g., Transformers, advanced CNNs/RNNs).
• Networking with experienced data scientists and ML engineers for mentorship and guidance.

• My journey into data science from a psychology and tech support background.
• The projects I'm working on for the IBM Data Science Professional Certificate.
• Insights from analyzing customer behavior or detecting fraud.
• My experiences with Python, Pandas, SQL, or basic data visualization.

• Email: BeingAnujChaudhary@gmail.com
• LinkedIn: https://www.linkedin.com/in/beinganujchaudhary/

Can machines imagine what humans cannot? Exploring where AI meets the universe's greatest puzzles:

• 🔭 Cosmic Codebreaker - Will AI reveal dark matter's secrets?
• 🌀 Quantum Dreamer - Can neural nets simulate alternate realities?
• 🧠 Theory Generator - What if GPT-10 rewrites physics textbooks?

"The most exciting phrase in science isn't 'Eureka!' but 'That's funny...'" - Asimov

Let's build the tools that'll help us listen when the universe whispers back.