📍 Location: Bengaluru, India
📧 Email: [email protected]
🌐 LinkedIn: Shreyas C.R
🌟 GitHub: ssyasa
I am a passionate Computer Science graduate specializing in Machine Learning, Full-Stack Development, and Data Science. With over 3 years of freelancing and internship experience, I excel in delivering cutting-edge software solutions that drive business growth, customer engagement, and operational efficiency.
With expertise in various domains including Machine Learning models, predictive analytics, and full-stack web applications, I can help you turn your vision into reality. I leverage innovative technologies to deliver customized solutions that not only meet but exceed client expectations.
Tools: Power BI, DAX, SQL
Objective: Streamlining the process of reconciling Purchase Requests with invoices to identify discrepancies and reduce approval time.
Key Features:
- Visual comparison of purchase requests vs. invoice data for quicker decision-making.
- Department-wise filtering for targeted analysis.
- Summary statistics on approval turnaround, helping managers optimize processes.
Impact: Saved 15% of operational costs by automating approval processes and improving transparency across departments.
Tools: Power BI, Python, DAX
Objective: Analyzing restaurant data from Zomato to uncover insights for food industry stakeholders.
Key Features:
- Geographic heatmaps showing restaurant ratings and customer preferences.
- Trend analysis for popular cuisines and locations.
- Sentiment analysis from customer reviews, allowing restaurateurs to enhance their offerings.
Impact: Helped a restaurant chain boost sales by 20% by adjusting menu items based on customer preferences in targeted regions.
Tools: Power BI, SQL, Python (Scikit-learn), DAX
Objective: Predicting and reducing customer churn in subscription-based business models.
Key Features:
- Predictive modeling for churn risk.
- Customer segmentation based on behavioral data.
- Time-based churn trend visualizations for targeted interventions.
Impact: Identified key churn factors, enabling a client to retain 12% more customers by focusing on high-risk segments.
Tools: Power BI, Python, SQL
Objective: Driving insights for a telecom company by analyzing customer demographics and service usage patterns.
Key Features:
- In-depth customer demographics, including age and location distribution.
- Usage pattern analysis (calls, data, etc.) for service optimization.
- Customer satisfaction score tracking to enhance service offerings.
Impact: Helped the telecom provider reduce service drop-offs by 10% through better-targeted marketing campaigns.
Tools: Power BI, Python
Objective: Uncovering trends in Udemy course enrollments, ratings, and interests to optimize course creation.
Key Features:
- Trend analysis for course ratings and enrollment numbers over time.
- Comparative analysis of popular course topics.
- Sentiment analysis of course reviews for improving content quality.
Impact: Enabled a course creator to increase student enrollments by 30% by tailoring content to growing market interests.
Tools: Power BI, SQL, Excel
Objective: Analyzing ticket sales for a railway company to optimize service planning.
Key Features:
- Time-based ticket sales trends to identify peak travel periods.
- Demographic insights on customer travel preferences.
- Impact analysis of pricing changes on sales volume.
Impact: Boosted ticket sales by 18% during off-peak periods by optimizing discount strategies based on sales trends.
Tools: Python, Scikit-learn, TensorFlow
Objective: Developing a fraud detection system for secure online transactions.
Key Features:
- Real-time anomaly detection using historical transaction data.
- Predictive risk management for identifying suspicious activities.
Impact: Prevented potential fraud losses of up to $200K annually for an e-commerce company by catching fraudulent transactions early.
Tools: Python, NLP, TensorFlow
Objective: Helping brands understand public sentiment and engage better on social media.
Key Features:
- NLP algorithms for processing and classifying tweet sentiment.
- Actionable insights into customer opinions and trends.
Impact: Enhanced a client’s social media strategy, improving engagement rates by 25%.
Tools: Python, Scikit-learn, Pandas, NumPy
Objective: Predicting house prices using historical market data.
Key Features:
- Predictive modeling based on key real estate features such as location and size.
- Market trend analysis for better price forecasting.
Impact: Empowered real estate agents to set competitive prices, reducing listing time by 35%.
Tools: Python, TensorFlow
Objective: Early detection of kidney disease using machine learning models.
Key Features:
- Predictive analysis for assessing the likelihood of disease.
- Data-driven recommendations for early intervention.
Impact: Assisted healthcare providers in improving early diagnosis rates by 22%.
Tools: React, Node.js, Express, Socket.io, MongoDB, OpenAI API
Objective: Creating a real-time chat application powered by Large Language Models for enhanced user interactions.
Key Features:
- Real-Time Messaging: Users can send and receive messages instantly.
- LLM Integration: Enhanced responses using OpenAI's GPT for intelligent suggestions and engaging conversations.
- User Authentication: Secure login and user management.
- Responsive Design: Accessible across devices with a user-friendly interface.
Impact: This application provides an enriched communication platform, enhancing user engagement and satisfaction by providing intelligent responses and seamless interaction.
Tools: React, Node.js, Express, MongoDB, Stripe API
Objective: Developing a full-fledged e-commerce platform to facilitate online shopping.
Key Features:
- User Accounts: Secure user authentication with role-based access.
- Product Management: Dynamic product listing and inventory management.
- Payment Integration: Seamless checkout process using Stripe for secure transactions.
- Order Tracking: Real-time order tracking for users.
Impact: Streamlined the shopping experience, resulting in a 30% increase in sales in the first month post-launch.
- Languages: Python, JavaScript, C++, Java, SQL, HTML, CSS
- Web Development: React.js, Node.js, Express, Flask, RESTful APIs, Django
- Front-End Frameworks: Angular, Vue.js, Tailwind CSS
- Back-End Development: Django, Spring Boot, ASP.NET, GraphQL
- Database Management: MongoDB, MySQL, PostgreSQL
- Cloud & DevOps: AWS (EC2, S3, Lambda), Docker, Kubernetes, Jenkins, Google Cloud
- Machine Learning: Scikit-learn, TensorFlow, Keras, Pandas, NumPy, NLP
- Data Visualization: Power BI, Matplotlib, Seaborn, Tableau, Excel
- Others: Socket.io, OpenAI API, Stripe API
- Machine Learning Specialization (Coursera)
- Full-Stack Web Development (freeCodeCamp)
- Data Science Certification (DataCamp)
- AWS Certified Solutions Architect (AWS)
I am actively looking for new freelance projects and long-term collaborations in Machine Learning, Data Science, and Full-Stack Web Development. I’m ready to bring your ideas to life with tailored solutions and innovative technologies.
💼 Reach me at [email protected] or connect on LinkedIn for opportunities.
