Mohit Singh
I am a product-focused software engineer specializing in building B2B SaaS applications. I am passionate about solving real-world business problems, from automating financial workflows with my SmartDocs project to de-risking new ventures in the freight-tech space through direct user research. My goal is to build scalable, valuable products.
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Experience
Artificial Intelligence Intern
SEPTEMBER 2024 - DECEMBER 2024- As an Infosys Springboard intern, I developed a CNN-based model to classify skin images as benign or malignant, improving diagnostic accuracy in medical image analysis.
- Implemented the project using Python and TensorFlow, handling data preprocessing, model training, and evaluation to ensure reliable performance.
- Enhanced model robustness with techniques like data augmentation and dropout, contributing to more accurate and generalizable skin cancer detection.
Education
Bachelor of Technology
CGPA: 8.86Class 12th
72%Certifications
SmartDocs
Automating Financial Workflows for SMBs
Business Problem: Small and medium businesses struggle with manual document processing, data entry errors, and scalable document management systems.
Solution: SmartDocs automates financial workflows, reduces manual data entry, and provides a scalable document management platform.
Services
Data Science
Harness the power of your data to drive smarter decisions and achieve better results. I specialize in making sense of complex data, transforming it into clear and actionable insights for business growth.
Digital Marketing
Specializing in digital marketing and SEO services, I'm dedicated to enhancing your online presence and driving meaningful engagement with data-driven strategies.
Product Management
End-to-end product lifecycle management, from ideation to launch, with a focus on user research and business value.
SaaS Development
Building scalable, secure, and user-friendly SaaS applications for B2B clients using modern technologies.
Other Projects
Parkinson's Disease Detection
Developed a machine learning model to detect Parkinson's disease from voice recordings, achieving 90% accuracy using Logistic Regression and SVC.
View CodeCredit Card Fraud Detection
Built a fraud detection model achieving 96% accuracy and 96.2% AUC, demonstrating expertise in financial security applications.
View CodeMall Customer Segmentation
Performed customer segmentation using K-means clustering, providing valuable insights for targeted marketing strategies.
View CodeGet in Touch
Let's discuss how we can work together
mohitrs2005@gmail.com
Phone
+91 8128825276