Skip to content
View MohammedLike's full-sized avatar
🏠
Open to Work
🏠
Open to Work

Block or report MohammedLike

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MohammedLike/README.md

Hi there, I'm Mohammed! πŸ‘‹

Welcome to my GitHub profile! I'm an aspiring Data Scientist and Business/Financial Analyst with a strong background in data analytics, machine learning, and financial modeling. I enjoy solving complex business problems using data-driven insights and building tools that enhance decision-making.


πŸ” About Me

  • πŸ“Š Data Analyst with nearly 1 year of experience in the Supply-Chain Industry, now transitioning into Data Science & Financial Analytics.
  • πŸŽ“ Summer Trainee at State Remote Sensing Application Centre (affiliated with ISRO).
  • πŸ’‘ Developed a Sentiment Analysis Model using NLTK & VADER to extract customer insights.
  • πŸ“‰ Optimized system performance by analyzing edge server monitoring data, reducing downtime.
  • πŸ€– Built & enhanced chatbots using NLP & Machine Learning for better user interaction.
  • πŸ“ˆ Developed investment data analysis tools using Streamlit, helping visualize financial trends.
  • πŸ’Ή Passionate about Financial Data Science, working on Stock Market Analysis & Portfolio Optimization.
  • πŸ› οΈ Proficient in: Python, SQL, Machine Learning, and Data Visualization.

πŸ“š Key Projects

πŸ’Ή Stock Market Analysis & Portfolio Optimization

  • Analyzing stock data and building machine learning models to optimize investment portfolios.
  • Applying time series forecasting, risk assessment, and asset allocation strategies.

πŸ—ΊοΈ Mapping the Investment Data: A Financial Exploratory Analysis

  • Explored investment trends, investor behavior, and sector-wise allocations.
  • Built interactive dashboards for financial insights.
  • πŸ“Œ GitHub Repository

πŸ’¬ Sentiment Analysis for Business Insights

  • Developed a NLP-based model using NLTK & VADER to analyze customer feedback.
  • Helped businesses understand consumer sentiment for strategic decision-making.

πŸ“Š Olympic Data Analysis Streamlit App

  • Created a Streamlit application to analyze Summer Olympic Games data for trend analysis.
  • πŸ“Œ GitHub Repository

🏦 Financial Data Analysis & Business Intelligence

  • Conducting exploratory data analysis (EDA) on financial datasets.
  • Working with Power BI & Tableau to create data-driven business insights.

πŸ”§ Technical Skills

  • Programming: Python, SQL
  • Machine Learning & AI: Supervised & Unsupervised Learning, NLP, Regression Models
  • Data Analysis & BI: Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn
  • Financial Analytics: Portfolio Optimization, Stock Market Analysis, Risk Modeling
  • Visualization Tools: Tableau, Power BI
  • Tools & Platforms: Jupyter Notebook, Git, Docker, Streamlit

πŸ“« Get in Touch

πŸš€ I'm open to opportunities in Data Science, Financial Data Analytics, and Business Intelligence. Feel free to connect!

Popular repositories Loading

  1. Car-Price-Prediction Car-Price-Prediction Public

    Explore car data with Python in Jupyter. Cleanse using Pandas, NumPy. Visualize with Matplotlib, Seaborn. Predict with Scikit-learn, XGBoost. Assess using MSE, R-squared. #DataScience #MachineLearn…

    Jupyter Notebook

  2. British-Airways-Tableau-Report British-Airways-Tableau-Report Public

    Preparing a review report of British Airways using tableau and making dashboard design.πŸ—ΊοΈ

  3. Road-Accident-Analysis-Report Road-Accident-Analysis-Report Public

    Analyzing road accidents using Powerbi tool and and making interactive dashboard for better review.

  4. CottonProphet CottonProphet Public

    Forecasting Future Trends with Machine Learning Algorithms using Python

    Jupyter Notebook

  5. PowerBI-Supermarket-Sales-Review PowerBI-Supermarket-Sales-Review Public

    Analyzing sales of a supermarket using SQL queries and designing a fully real time function dashboard in Powerbi

  6. Power-BI-Zomato-Sales-Review-Dashboard Power-BI-Zomato-Sales-Review-Dashboard Public

    This Power BI dashboard design provides an overview of sales performance for a food delivery service. It includes visualizations of sales by city, sales by year, and top-selling items. The dashboar…