Data Analysis & Insights
Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights.
Clean, categorize, and enrich data from diverse sources using SQL and Python.
Deliver data-driven insights to support strategic decision-making for businesses.
Data Visualization & Dashboard Development
Build interactive dashboards using Python (Streamlit) and integrate them with databases like Supabase for real-time data visualization.
Create visually appealing and user-friendly reports using tools like Power BI.
Develop custom visualizations using libraries like Plotly for technical and business analysis.
Machine Learning & Predictive Modeling
Develop machine learning models for forecasting and prediction tasks (e.g., cryptocurrency price prediction, molecular energy prediction).
Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.
Use unsupervised learning techniques (e.g., PCA, clustering) for dimensionality reduction and pattern discovery.
Business Intelligence & Optimization
Analyze sales trends, customer behavior, and traffic sources to identify growth opportunities.
Optimize digital marketing campaigns (e.g., Google Ads) using statistical analysis, leading to improved ROI.
Design and implement experiments (A/B testing) to evaluate business strategies and improve outcomes.
Technical Analysis & Tools
Implement technical analysis tools (e.g., Moving Averages, RSI, MACD, Bollinger Bands) for financial or market data.
Integrate APIs (e.g., CoinGecko) to fetch real-time data for analysis and visualization.
Automate data workflows and analysis using Python, Alteryx, and SQL.
Data Cleaning & Preparation
Clean and preprocess raw data to ensure accuracy and usability for analysis or modeling.
Handle missing data, outliers, and inconsistencies in datasets.
Transform and structure data for efficient analysis and reporting.
Custom Solutions & Consulting
Provide tailored data solutions to meet specific business needs, from data strategy to implementation.
Offer consulting services on data collection, storage, and governance best practices.
Train teams or individuals on data analysis tools and techniques (e.g., Python, SQL, Power BI).
Cryptocurrency & Financial Data Analysis
Analyze cryptocurrency market trends and develop predictive models for price forecasting.
Build interactive dashboards for real-time cryptocurrency data visualization and analysis.
Provide insights into market behavior using technical analysis tools and machine learning.
Scientific Data Modeling
Develop predictive models for scientific data (e.g., ground state energy of molecules).
Perform dimensionality reduction and feature selection using techniques like PCA.
Identify key features and optimize models for scientific research or industrial applications.