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Data Analytics projects

Uber Trip Analysis

This Uber Trip Analysis dashboard provides insights into 103.7K bookings, highlighting trip value, distance, time, and payment modes. It identifies peak booking days across 7 days,, preferred vehicle among 5 different types, and popular pickup/drop-off locations across 2400 hrs. Key metrics like average trip duration and farthest trips enhance decision-making and analyze customer preference trends.

Trex Hospital Data Analysis

Built an interactive hospital dashboard to track patient flow, billing (₹187.37M), and diagnosis trends. Visualized bed occupancy (3.5K private beds), feedback (~4.75K per doctor for 8 doctors), and disease-wise patient counts (1.97K viral cases). Compared billing vs. insurance across procedures like CT, MRI, X-Ray, enhancing decision-making and insights.

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AI and ML projects

Symptom-based Medical Recommendation Model

The Medical Recommendation System is an AI-driven healthcare model designed to predict diseases based on user-inputted symptoms and provide relevant medical recommendations. The system employs a Support Vector Classifier (SVC) to classify diseases accurately and suggests medications, dietary plans, and workout routines. It has an accuracy of 100 percent.

Track with IT

Developed a full-stack IOCL Asset Management web application using Flask, HTML, CSS, and JavaScript to streamline asset tracking, location-wise data management, and reporting. Integrated dynamic Excel data loading and real-time filtering, enabling efficient asset visibility and search functionality across 1000 plus IOCL locations transferring 10 plus different kinds of assets

A person is holding a smartphone displaying an analytics or insights screen with various metrics and numbers. The individual is wearing a casual white shirt and a watch with a black band. The surrounding environment includes an indoor plant.
A person is holding a smartphone displaying an analytics or insights screen with various metrics and numbers. The individual is wearing a casual white shirt and a watch with a black band. The surrounding environment includes an indoor plant.

Gallery

Showcasing my projects in data analytics, AI, and ML.

A person is viewing a map with red data points on a computer monitor, likely indicating a geographical distribution. The image has a focus on technology and data analysis.
A person is viewing a map with red data points on a computer monitor, likely indicating a geographical distribution. The image has a focus on technology and data analysis.
A smartphone displays analytics data with graphs showing views, downloads, and likes. It is resting vertically on a white dock next to a small potted succulent plant. In the background, a large computer monitor is partially visible, along with a closed laptop and a white wireless earbud case.
A smartphone displays analytics data with graphs showing views, downloads, and likes. It is resting vertically on a white dock next to a small potted succulent plant. In the background, a large computer monitor is partially visible, along with a closed laptop and a white wireless earbud case.
woman wearing yellow long-sleeved dress under white clouds and blue sky during daytime

Arkaprabha's analytical skills transformed our data into actionable insights, driving our project success significantly.

A person with a striped shirt and a cap is standing in front of a computer screen displaying data and analytics. Another laptop is open on a desk below the monitor, and a large metallic tank with a pressure gauge is nearby.
A person with a striped shirt and a cap is standing in front of a computer screen displaying data and analytics. Another laptop is open on a desk below the monitor, and a large metallic tank with a pressure gauge is nearby.

Working with Arkaprabha was a game-changer; their expertise in AI and ML is truly impressive.

A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
★★★★★
★★★★★
Arkaprabha Rakshit Portfolio

Data-driven decisions for impactful business solutions.

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