InsightEdge Analytics

Hello! You are entering into the portfolio of a highly enthusiastic data scientist, having 3+ years of experience in leading the supply chain business, Finance trading automation, banking sector and many more.

I developed an automated trading system with a 98% success rate, boosting portfolio returns by 15% and reducing risk exposure by 10%. In supply chain analytics, I created a recommendation system that increased upsell revenue by 5% and reduced holding costs by 10% across 100+ stores, while eliminating 20% of low-selling inventory. For healthcare, I built a predictive model for eye surgery success with 85% accuracy, speeding up clinical decision-making by 40%. Additionally, I analyzed 10,000+ reviews for 500+ restaurants, driving a 15% uplift in customer engagement and reducing food waste by 10%. As a teaching assistant, I mentored students, improving their comprehension by 20%.

Contribution to the Different Industry on Different Role:

Course Assistant: (Illinois Institute of Technology)

• Led and supervised over 400 students from diverse global backgrounds throughout their Master’s in Data Science program, ensuring smooth academic progression and a supportive learning environment.
• Proactively engaged with each student to address their queries, consistently resolving doubts within a 10-minute timeframe to maintain high levels of student satisfaction and program efficiency.

Online Teaching Assistant: (Illinois Institute of Technology)

• Facilitated office hours and led live sessions for a Data Preparation and Analysis course, improving student comprehension and performance by managing inquiries with a tracking sheet, evaluating assignments thoroughly, and providing detailed feedback.

Graduate Teaching Assistant: (Illinois Institute of Technology)

• I proactively facilitated office hours and dynamically led live sessions for the Data Preparation and Analysis course. By meticulously managing student inquiries through a comprehensive tracking sheet, I ensured no question went unanswered. I rigorously evaluated assignments, offering detailed and constructive feedback that significantly enhanced student comprehension and performance.

Award From Illinois Institute of Technology

Machine Learning Engineer (Freelancer at Fiver.com)

• Extracted title, author, and publication date from 500 EPUB files, totaling 1,500 metadata fields, using a custom Python-based web scraping tool.
• Reduced metadata extraction time by 80% through automation and concurrent processing, significantly enhancing efficiency and performance.

Data Scientist: (Corange Lab)

Finance:

• Developed an automated trading system for delta stocks, executing buy-and-sell operations with a 98% success rate, boosting portfolio returns by 15%.
• Analyzed historical market data and optimized trading algorithms using machine learning, slashing risk exposure by 10% and improving risk-adjusted returns.
• Integrated real-time market feeds into trading models, enhancing efficiency by 25% through close collaboration with financial analysts.

HealthCare:

• Created a predictive model for eye surgery success, analyzing patient data to achieve 85% accuracy, accelerating decision-making by 40%.
• Processed electronic health records using AWS, reducing manual evaluation time by 30% through optimized machine learning workflows.
• Collaborated with medical teams to integrate predictive analytics into practice, enhancing patient assessments and outcomes.

Supply Chain:

• Designed a recommendation system, analyzing sales patterns from 100+ stores, increasing upsell revenue by 5% and reducing holding costs by 10%.
• Built and deployed Tableau dashboards for real-time sales tracking, optimizing inventory and eliminating 20% of low-selling items, accelerating stock turnover by 15%.
• Partnered with supply chain managers to forecast demand, streamlining logistics and shortening lead times by 10%.

Data Scientist (PHOENIX TECHNOLOGY)

• Evaluated market trends for 500+ restaurants, developing predictive models from 10,000+ reviews, elevating customer engagement by 15%.
• Optimized supply chain processes through data analytics, reducing food waste by 10% and improving inventory turnover by 20%.

Educational Youtuber(Youtube.com)

Created a youtube channel to aware more people about the data science concept and how to use it on real world scenarios.

Channel Link: https://www.youtube.com/@AIWithRutvik

Projects:

Breast cancer detection

• Managed a substantial 300 GB dataset in dicom format, conducting a comprehensive data analysis to
  address key questions.
• Engineered a custom dataset class and function to efficiently read and process files for deep learning
  model input.
• Implemented transfer learning, selecting XceptionV3 and ResNet to enhance model accuracy by 30% and designed a custom neural network, incorporating diverse layers of residuals for optimal performance.
• Conducted rigorous model training and assessment, scrutinizing and finalizing the accuracy of each iteration and deployed model using AWS.
• Managed a substantial 300 GB dataset in dicom format, conducting a comprehensive data analysis to address key questions.
• Engineered a custom dataset class and function to efficiently read and process files for deep learning model input.
• Implemented transfer learning, selecting XceptionV3 and ResNet to enhance model accuracy by 30% and designed a custom neural network, incorporating diverse layers of residuals for optimal performance.
• Conducted rigorous model training and assessment, scrutinizing and finalizing the accuracy of each iteration and deployed model using AWS.
  • Skills: TensorFlow · Python (Programming Language) · Pandas · Amazon Web Services (AWS)

Bias Evaluation of Different model

• Coordinated with a team of four students to investigate biases between traditional models (SVM and Logistic Regression) and Large Language Models (BERT and RoBERTa).
• Analyzed a provided dataset to assess the presence of biases in the models’ predictions.
• Meticulously processed the dataset, implementing tokenization and formatting to ensure optimal input for the models.
• Integrated the prepared data into the models and processed diverse test cases to comprehensively evaluate their performance.
• Took the lead in compiling a detailed report that encapsulated our findings and insights.
• Concluded from our analysis that each language model introduced a degree of bias, primarily influenced by the characteristics of the training dataset.

ENEFIT ENERGY PREDICTION MODEL

• Developed an energy efficiency framework, reduced prosumer costs by 20% and operational expenses by 15%, and improved grid stability by 25%. Utilized PySpark for dataset management,
• increased performance with XGBoost, and tested alternative models like Random Forest and Lasso/Ridge Regression, achieving 80% accuracy.

Certifications:

Education:

Illinois Institute of Technology – MS In Computer Science- 3.40 GPA

Courses:
Advanced Data mining, Machine learning, Data preparation and analysis, Deep learning ,Computer Networks, Natural language processing, Advanced Database Organization, Probabilistic Graphical Models, Theory of Computation, Computer Vision.

Technical Skills Learned:

Microsoft Power Apps, Communication, Machine Learning Algorithms, Tableau, PowerBI, NLP, Deep Learning Algorithms, Object Detection, Object Localization, AWS S3, AWS EMR, AWS Sagemaker, AWS Glue, AWS RedShift, AWS Aethna, AWS EC2, Model Deployment, APIs, RestAPI, HTML, CSS, Python, C, C++, Tensorflow, Pytorch, OpenCV, Data Analysis, PostgreSQL, SQL, Google BigQuery, BeautifulSoup, Selenium, ChatGPT, DeepSeek AI, LLMs

Domain Skills:

Supply chain optimization, inventory management, demand forecasting,
logistics analytics, : Healthcare analytics, predictive modeling, medical informatics, patient data analysis, Financial modeling, algorithmic trading, risk management, time series analysis.

Soft Skills:

Presentation, Collaboration, Leadership, Problem Solving, Detail oriented

Thank you for visiting my portfolio. You can reach out to me on rutviksavaliya141@gmail.com