Available for new projects

Hi, I'm Divyanshu
Data Scientist &
Finance Enthusiast

Pursuing Integrated Master's in Physics with Finance (Minor) from BITS Pilani. I blend analytical thinking with financial expertise to solve complex problems using machine learning and data science.

View My Projects 📊 Let's Connect 🤝
15+ Projects
3+ Years Learning
5+ Tech Skills
Divyanshu Sharma
About Me

Data Science & Finance

Combining analytical rigor from Physics with financial acumen to build predictive models and data-driven solutions. Passionate about using machine learning to solve real-world problems in finance and beyond.

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Machine Learning

Developing predictive models using Python, scikit-learn, and TensorFlow. Experienced in classification, regression, and time series analysis with focus on financial and environmental applications.

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Data Analytics

Expert in data preprocessing, statistical analysis, and visualization using pandas, NumPy, and matplotlib. Skilled at extracting insights from complex datasets and presenting them clearly.

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Financial Modeling

Combining physics-based analytical thinking with financial theory to build portfolio optimization models, risk assessment frameworks, and quantitative trading strategies.

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Web Development

Full-stack development experience from college projects and freelancing. Building responsive web applications with modern frameworks while maintaining clean, efficient code practices.

Experience

My Journey

From academic projects to industry internships, building a strong foundation in data science, finance, and technology through diverse experiences and continuous learning.

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Summer Analyst - Ultratech Cement

Worked as a Summer Analyst, analyzing market trends and financial data. Applied analytical skills to support business decisions and gained valuable industry experience in the cement sector.

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Web Developer - SDET-BITS

Developed and maintained departmental websites and web applications. Collaborated with faculty and students to create digital solutions that enhanced academic and administrative processes.

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UI/UX Artist - Clubs & Departments

Created visual designs and user interfaces for various college clubs and departmental events. Developed creative solutions that enhanced user engagement and visual communication.

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Freelance Developer

Part-time freelancing experience building websites and applications for small businesses. Managed client relationships while delivering quality solutions within budget and timeline constraints.

Portfolio

Completed Projects

A showcase of data science and machine learning projects demonstrating practical application of analytical skills in finance, environmental science, and predictive modeling.

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Forest Fire Prediction Model

Machine learning model to predict forest fire occurrence and intensity using meteorological data. Implemented regression algorithms achieving 85% accuracy in fire risk assessment for environmental protection.

Python Scikit-learn Pandas Matplotlib Regression

California House Price Prediction

Predictive model for California housing prices using multiple regression techniques. Analyzed demographic, geographic, and economic factors to achieve RMSE of $45K on test dataset.

Python NumPy Seaborn Linear Regression Feature Engineering
My Photo

Portfolio & Security Optimization

Financial portfolio optimization using Modern Portfolio Theory and Python. Implemented risk-return analysis and efficient frontier calculations for optimal asset allocation strategies.

Python Numpy Financial Modeling Optimization Risk Analysis

Web Development Projects

Collection of web applications developed for college departments and freelance clients. Includes responsive design, database integration, and user-friendly interfaces using modern web technologies.

HTML/CSS JavaScript React Node.js MongoDB

UI/UX Design Portfolio

Creative design work for college clubs, departments, and events. Includes poster designs, web interfaces, and visual branding that enhanced communication and user engagement.

Figma Adobe Creative Suite UI Design Branding Visual Design

Academic Research Projects

Physics and finance-related research projects including statistical analysis, mathematical modeling, and simulation work demonstrating interdisciplinary approach to problem-solving.

Python MATLAB Statistical Analysis Research Simulation
Current Work

Featured Projects

Currently working on cutting-edge research projects under faculty guidance, applying machine learning and computational methods to solve complex problems in finance and renewable energy.

Credit Card Fraud Detection

Research project with Prof. Aditya Sharma focusing on developing advanced machine learning models for credit card fraud detection and analysis. Implementing ensemble methods and deep learning techniques for improved accuracy.

Python TensorFlow Scikit-learn Deep Learning Fraud Detection

Solar Cell Simulation

Computational research project with Prof. Madhukar Mishra simulating solar cell performance using Python. Developing models to optimize photovoltaic efficiency and analyze material properties for renewable energy applications.

Python NumPy SciPy Simulation Solar Energy

Machine Learning Research

Advanced machine learning projects exploring neural networks, ensemble methods, and statistical modeling. Focus on financial applications and predictive analytics for real-world problem solving.

TensorFlow Keras Neural Networks Ensemble Methods Statistical Modeling
FAQ

Frequently Asked Questions

Everything you need to know about my background, skills, and approach to data science and machine learning projects.

What are your main areas of expertise?
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My expertise spans data science, machine learning, financial modeling, and web development. I specialize in Python programming, statistical analysis, and applying physics principles to solve complex problems in finance and environmental science.

What's your educational background?
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I'm pursuing an Integrated Master's in Physics with Finance (Minor) from BITS Pilani. This unique combination gives me strong analytical skills from physics and practical financial knowledge, allowing me to approach data science problems with both theoretical depth and practical application.

Do you work on collaborative projects?
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Yes! I'm currently working on research projects with professors and am always open to collaborating on interesting data science and machine learning projects. I enjoy working in teams and believe that diverse perspectives lead to better solutions.

What's your approach to data science projects?
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I follow a systematic approach: Problem Definition → Data Collection & Exploration → Feature Engineering → Model Development → Validation & Testing → Deployment. I emphasize understanding the business problem first, then applying appropriate statistical and machine learning techniques.

What technologies and tools do you use?
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My core toolkit includes Python (pandas, NumPy, scikit-learn, TensorFlow), R for statistical analysis, SQL for databases, and Jupyter notebooks for development. For web development, I use HTML/CSS, JavaScript, React, and Node.js. I also work with Git, MATLAB, and various visualization libraries.

Let's Connect

Ready to Collaborate?

I'm always excited to work on challenging data science problems and innovative projects. Let's discuss how we can apply analytical thinking and machine learning to solve real-world challenges together.

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