Portfolio
+
Portfolio
+
Portfolio
+
Portfolio
+
Portfolio
+
Portfolio
+ + --> + +Services
+Here are some of the services I can provide based on my qualifications and experiences:
+Data Analysis
+Utilize my expertise in data analysis to extract valuable insights from your datasets and make data-driven decisions.
+Machine Learning
+Develop and implement machine learning models for predictive analytics and pattern recognition.
+Programming
+Write and optimize code in Python and other languages to solve complex computational problems.
+Database Management
+Manage and optimize databases using SQL, BigQuery, and MySQL for efficient data storage and retrieval.
+Data Visualization
+Create informative and visually appealing data visualizations using libraries like Matplotlib and Plotly.
+Data Engineering
+Design and implement data engineering solutions, including data warehouses, ETL processes, and cloud platforms like AWS and GCP.
+Documentation
+Effective documentation is essential for clear communication and knowledge sharing. I specialize in creating detailed and user-friendly documentation for projects, processes, and systems. Whether it's technical manuals, API documentation, or user guides, I ensure that information is easily accessible and well-structured.
+Website Design
+A well-designed website is crucial for a strong online presence. I specialize in creating visually appealing and user-friendly websites. From responsive design to intuitive navigation, I ensure that your website not only looks great but also provides a seamless user experience. Let's make your online presence stand out.
+Collaboration
+Collaboration is the key to success in any project. I excel in fostering teamwork and effective collaboration among team members. Whether it's working on a research project, coordinating with cross-functional teams, or engaging in knowledge sharing, I facilitate a collaborative environment that enhances productivity and innovation.
+Professional Courses & Certification
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+
- Completed an extensive course on remote sensing provided by EUMETSAT, gaining a strong foundation in data access and retrieval, the fundamentals of remote sensing, and Python data analysis of multidimensional meteorological datasets. +
- Developed skills in using remote sensing data to analyze and monitor environmental phenomena such as climate change, weather patterns, and natural disasters. +
- Learned to apply Python programming language to process and analyze remote sensing data, extracting valuable insights and information. +
- Gained experience in working with a variety of remote sensing datasets, including satellite imagery and ground-based data. +
- Mastered fundamentals of Data Warehouses. +
- Gained in-depth knowledge of Dimension Modelling, including E-Commerce Dimension Modelling. +
- Learned about Slowly Changing Dimension techniques. +
- Acquired skills in Extract Transform Load (ETL) processes. +
- Completed a project on Spotify Data Pipeline using Snowflake, AWS, and Python. +
- Implemented Real-Time Data Streaming using AWS, Snowflake. +
- Developed expertise in creating pipelines using Apache Airflow. +
- Identified an ideal M&A target for a client based on an assessment of their strategic and financial criteria. +
- Constructed a DCF model to calculate the valuation of the M&A target and adjusted the model to account for a competitor bid and supply chain interruption. +
- Created a 2-pager for the client containing a company profile and summary of the auction process. +
- Proactively addressing vital business inquiries through tailored data visualization and interpretation for leaders. +
- Proficiently selecting the most suitable visuals, such as charts and graphs, for effective communication of complex data. +
- Specializing in crafting impactful visuals that align with business requirements, including expertise in data visualization, dashboard development, and data refinement. +
- Skillfully conveying insights to diverse audiences and providing clear explanations of data's significance in various contexts. +
- Regression models +
- Classification model: K-nearest neighbor +
- Numpy, Pandas, Seaborn, Matplotlib, Plotly, Statsmodel, Scipy, Sklearn +
➤ EUMETSET training program
+Jul 2023 – present
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+
➤ Data Warehouse for Data Engineering with Snowflake
+Jul 2023 – Sep 2023
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+
➤ JPMorgan Chase Investment Banking Virtual Experience Program on Forage
+Sep 2023
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+
➤ Tata Data Visualisation: Empowering Business with Effective Insights
+Aug 2023
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+
➤ Machine Learning with Python: Supervised learning
+Feb 2023 – Mar 2023
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+
➤Data Analysis with Python: Zero to Pandas
+Oct 2022 – Dec 2022
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+
Publications
@@ -838,6 +923,44 @@Publications
Extra-Curricular Activities
+Here are some of my extra-curricular activities and contributions:
+Teaching (Jun-Dec 2020)
+-
+
- Taught 'Mathematical Physics' at the University of Delhi, including exam paper creation and assessment for 300+ students. +
Conferences and Workshops Organization
+-
+
- Organized and facilitated TEQIP-III (2021), a Sponsored Workshop on Astroparticle Physics and Cosmology.
- Orchestrated Sesh@60 Fest (2021) at the University of Delhi, Department of Physics and Astrophysics. +
+
Scientific Communication
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+
- Authored numerous scientific articles (> 10) in International Journals.
- Designed 2-3 websites for conferences and schools using HTML and CSS. +
+
Website Design
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+
- Designed 2-3 websites for conferences and schools (using HTML and CSS). +
Publications
Contact
-You can contact me at my email: arunp77@gmail.com or you just fill the form below.
+You can contact me at my email: arunp77@gmail.com.
Email:
Call:
-+49 49-XXXX-XXX-XXXX
++49 XXXX-XXX-XXXX
Portfoio Details
+
Project information
--
-
- Category: About python programming -
- Resources: at GitHub - -
- Project URL: https://arunsinp.github.io/MonteCarlo-simulation/ -
Project information
+-
+
- Category: About +
- Resources: at GitHub + +
- Project URL: https://arunsinp.github.io/MonteCarlo-simulation/ +
Monte Carlo Simulation
+Monte Carlo simulation is a powerful technique for modeling and analyzing complex systems by using random numbers. It's widely used in various fields such as finance, physics, engineering, and computer science. The following topics will be covered:
+-
+
- Introduction to Monte Carlo Simulation +
- Basic Principles +
- Steps in Monte Carlo Simulation +
- Statistics +
- Probability Distributions +
- Estimation and Sampling +
- Confidence Intervals +
- Generating Random Numbers +
- Variance Reduction Techniques +
- Applications of Monte Carlo Simulation +
Risk Analysis Projects
+Explore my projects in the field of risk analysis, covering various aspects such as market risk, credit risk, and portfolio risk. These projects demonstrate my expertise in quantitative analysis and risk management.
+Market Risk Analysis
+My project on market risk analysis focuses on assessing the potential losses in financial markets due to adverse price movements. I employ advanced statistical models and historical data to measure and manage market risk for investment portfolios.
+Credit Risk Assessment
+Explore my work in credit risk analysis, which involves evaluating the likelihood of borrowers defaulting on their loans or credit obligations. I use data-driven approaches to build credit scoring models and improve credit risk management strategies.
+Details about this repository
-- Welcome to my Python Programming repository, your gateway to mastering one of the most versatile and widely-used programming languages. - This collection of Jupyter notebooks and tutorials is thoughtfully structured to take you on a journey from Python basics to more advanced - topics, making your learning experience both enriching and enjoyable. -
+Portfolio Risk Management
+My portfolio risk analysis projects aim to optimize asset allocation and diversification strategies to mitigate risk while maximizing returns. I utilize mathematical models and simulation techniques to enhance portfolio performance and reduce exposure to various risks.
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