📍 Location: Bengaluru, India
📧 Email: [email protected]
🌐 LinkedIn: Shreyas
🌟 GitHub: Shreyas

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%.

Technologies: JavaScript, React, Node.js, @pixiv/three-vrm, Web Speech API, ElevenLabs, OpenRouter, Window AI
Objective: Build an interactive 3D character chat application powered by Large Language Models (LLM).
Key Features:

• 3D Character Interaction: Chat with a customizable 3D character in real time.
• Voice Recognition: Real-time voice-to-text using Web Speech API.
• Text-to-Speech: Lifelike responses using ElevenLabs to synthesize voice.
• LLM-Powered: Generates intelligent responses based on user input, leveraging Window AI and OpenRouter for deep learning models.

Impact: The app demonstrates the potential of AI-based conversational agents integrated with real-time 3D graphics, appealing to both entertainment and customer service sectors.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)

Looking for a partner to bring data-driven insights, AI-powered applications, or full-stack web solutions to life? Let’s work together to create transformative digital experiences and scalable platforms that meet your business goals.

💼 Contact me at [email protected] or connect on LinkedIn for exciting opportunities.