Welcome to my GitHub profile! I'm a data analyst and developer (well-rounded Math major with a strong background in Computer Science and Physics) currently based in Berlin, Germany. I'm passionate about machine learning, data analysis, and creating impactful visualizations.

• 🏙️ Living in Berlin, Germany
• 📞 Phone: (+49) 15214440352
• 📧 Email: [email protected]
• 🌐 LinkedIn: linkedin.com/in/ManishBaral
• 😄 Pronouns: he/him
• ⚡ Fun fact: !FALSE (It's funny because it is true)

• Languages: Python, SQL (C,C++,HTML,CSS,JS)
• Data Analysis: Jupyter Notebook, Pandas, NumPy, Scipy
• Visualization: Tableau, Matplotlib, Seaborn
• Machine Learning: Scikit-learn, TensorFlow, Keras

NOTE: Here are Some of my important repositories dedicated to DATA ANALYST portfolio projects and relevent academic materials

• PYTHON AIRBNB 2023 EXPLORATORY DATA ANALYSIS EDA: Exploratory data analysis on NYC 2023 Airbnb listings.
• SQL AMAZON PRIME MOVIES EDA: Data analysis on Amazon Prime movies using SQL.
• SQL EMPLOYEE DATABASE EDA Creating a sample Employee database and doing analysis using SQL.

• TABLEAU VISUALIZATION CAR SALES: Car Sales data visualization using Tableau.

• MACHINE LEARNING DEEP LEARNING ASSIGNMENTS: A collection of assignments and projects on advanced machine learning and deep learning.
• STATISTICS FOR DATA SCIENCE: Resources and projects on statistics for data science.
• NATURAL LANGUAGE PROCESSING Resources and projects on NLP.

• Mathematics Thesis:Thesis: On the Volume of the Intersection of Balls (Discrete Geometry)
• Mathematics Project:Project: On the Heat equations, maximum principle and weak solution with their regularities (PDEs)

• Applied Dynamical Sytem:The Project in Python will cover real-world examples of nonlinear dynamics experiments such as nonlinear electric oscillators and pattern formation in chemical reactions, as well as some paradigmatic models of nonlinear dynamics.
• Stochastic Methods and Financial Maths:Topics include binomial tree models, discrete Brownian paths, stochastic ODEs, Monte-Carlo methods, finite differences solutions for the Black-Scholes equation, and an introduction to time series analysis, parameter estimation, and calibration. We program and explore all basic techniques in a numerical programming environment and apply these algorithms to real data whenever possible
• C-Programming : Resources and assignments of C-programming course from University.
• Library Management System Python: Project on Library Management system using python.
• HTML CSS Javascript: Learning HTML, CSS and Javascript.

• NASA SPACE APP CHALLENGE: Participated in competition about building an App to solve real world problem organized by NASA Ames.
• Virtual Impact Week Challenge by Lufthansa: Participed in Design Thinking competition organized by Lufthansa.

I have forked some repositories for Learning Purpose(which arenot mentioned above and can be found if you surf through my repositories ). I have mentioned "FORKED" in the title of those repositories