My Work

Role: Developer
This attendance system is designed to automate the process of recording attendance using facial recognition technology. By leveraging OpenCV with Python, the system captures an image of each individual through a camera and compares it against a pre-existing database of photos. If a match is found, the individual's attendance is logged with their name in a CSV file for the current day.

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Role: Associate Data Scientist
The key objectives of the project is to identify fires from the images we can get from surveillance system or other resources. Done the data preprocessing on collected data, feature engineering and feature selection, choose the metrics for the model evaluation, model Selection, Training, Predicting and Assessment, and hyperparameter tuning.

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Role: Associate Data Scientist
In the rapidly evolving world of eCommerce, accurate product categorization is crucial for ensuring seamless customer experiences, reducing search friction, and increasing product discoverability. However, the sheer volume of diverse products poses a significant challenge. Current classification systems struggle to handle ambiguities, unconventional naming conventions, and multi-language data. This project aims to address these challenges and create innovative solutions that enhance product categorization efficiency, accuracy, and scalability. Here we develop a text classification model that categorizes products with maximum accuracy based on description of the product.

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Role: Data Analyst
Description: The CompleteStoreAnalysis dashboard provides insights about the orders, customers, location & products. Report consist two part one is entirely represent Sales data, and second part represent Customer data. This dashboard is intended for use by any of the sales team, store management and stakeholders.
Key Points:
● For both the product "Tables" & "Fasteners", sales is decreasing every year.
● There is no purticular subcategory in products, which is providing loss continuously.
● In a top customer list for 2023, there is approx $500 difference in sales price but profit difference is more then $2000.

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Role: Data Analyst
Description: This dashboard provides insights into Claim amount with the help of gender, age, bmi, bloodpressure, smoking habbit, region, children count. It aims to help company's stakeholder make data-driven decisions like: claim amount for next year or approval amount for future by visualizing trends, KPIs, and other critical data points.
Key Points:
● Person(Male or Female) who smoke have more chances to take claim amount than person who is debatic.
● Southeast region have highest number of smokers and diabetic persons in compare to all regions.
● In Northwest region, count of female smokers are only 4% less than male smokers.

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Role: Data Analyst
Description: The EuropeanStoreAnalysis dashboard provides insights about the city branch of European multi-city store. Report consist spending score as pefamily size, working experience, and profession. It aims to help stores local management to create the offer, and company stakeholder's to make data-driven decisions by visualizing trends, KPIs, and other critical data points.
Key Points:
● Family with the size of 4 is having a highest avg. spending score.
● Professionals from engineer, lawyer, marketing, homemakers and nan, having the lowest avg. spending score.
● Females with the executive profession and mens from the entertainment are having the highest spending score.

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Role: Data Analyst
Description: Created 2 dashboards and then created a main story by using both the dashboards, which includes the data regarding patients’ blood pressure, BMI, glucose, insulin, and diabetes for patients from the 20+ age group.

Role: Project Lead/Android Developer
Description: Gorilla Safety Plus is a mobile app and website designed to help reduce insurance premiums, gain clients and increase profits for fleets. Drivers and mechanics alike love the simplicity of this system and gravitate towards the easy to use yet robust program.

This is done through automating processes for vehicles inspections and repairs, accident investigations, document management, electronic logs, among other things; complete with alerts to keep you informed at every step.

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Role: Project Lead/Android Developer
Description: With Eat Central you no longer need to leave wherever you are to go to your favorite restaurants, we connect you with your cravings without sacrificing your time or comfort, satisfying your cravings.

Eat Central allows you to order food from your favorite restaurants and chains online, safely and quickly. We provide a mobile application where you can order your favorite dishes, make the payment in the most convenient way for you, in cash when you receive your order or online by credit/debit card, and see in real time the journey and waiting time of your order.

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Role: Android Developer
Description: The mInventory mobile app allows your organization to perform cycle counts from the warehouse floor, view and cross-check information across multiple locations, seamlessly transfer assets, and track stock movement with precision across plants and storage locations. Replace cycle count sheets, pick tickets, and scratch pads with a remarkably intuitive.

mInventory is highly configurable and integrates seamlessly with SAP Inventory Management, SAP Warehouse Management, and SAP EWM to digitally transform the way you oversee products, parts, and resources.

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Role: Android Developer
Description: GMR Career Point Nursing Classes are conducting Online Lectures for Nursing Coaching. It is to ensure that the students continue pursuing their careers without any hindrance.
Features:
● Online Lectures for Nursing Students
● Virtual Consultancy with Healthcare Experts
● Advanced Online Nursing Crash Courses
● Significant Training for Nursing Officers and Nursing Tutors
● Facility to chat with faculty during Live Nursing Classes
● Nursing Live Classes and option to record classes
● Vast variety of courses to choose from
● Free Practice Tests for Nursing Students

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