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Amazon Web Services (AWS)
Data Scientist
June 12, 2026 – Present
Stock-Market-Predictor-using-Prophet
November 11, 2023 – December 9, 2023
A stock market predictor which utilizes Facebook's Prophet Library and Yahoo Finance APIs, to forecast stocks based on time series data
View ProjectPune-Housing-Market-Analysis
September 17, 2023 – September 19, 2023
Pune-Housing-Market-Analysis — GitHub repository
View ProjectSales-Insights-Dashboard
September 17, 2023 – September 17, 2023
Sales-Insights-Dashboard — GitHub repository
View ProjectMake-your-own-sneaker
September 14, 2023 – September 14, 2023
Make-your-own-sneaker — GitHub repository
View ProjectImage-based-floating-waste-classification
September 14, 2023 – September 14, 2023
Image-based-floating-waste-classification — GitHub repository
View ProjectEarthquake-Predictor-in-realtime
March 11, 2023 – May 20, 2023
Earthquake-Predictor-in-realtime — GitHub repository
View ProjectPassword-Validity-Checking-System
May 10, 2022 – July 4, 2022
This is a password validity checking system designed with assembly language used to program the 8086 Microcontroller . The project was executed using tools like DosBox and TASM.
View ProjectCustomer-Segmentation
April 14, 2022 – June 7, 2022
Customer segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately. This Project uses R language and Kmeans clustering algorithm to segment customers into clusters.
View ProjectHealthOrzo
December 19, 2021 – April 13, 2022
HealthOrzo is a Disease Prediction and Information Website. It is user friendly and very dynamic in it's prediction. The Project Predicts 4 diseases that are Diabetes , Kidney Disease , Heart Ailment and Liver Disease . All these 4 Machine Learning Models are integrated in a website using Flask at the backend .
View ProjectAutomated-Irrigation-System-Using-Arduino
August 25, 2021 – February 2, 2022
This Automatic Irrigation System has been created virtually with the help of a simulation software called Proteus. The microcontroller used is Arduino Uno . The sensors incorporated are Ultrasonic Sensor and Soil Moisture sensor . The Code for the Project has been written in Embedded C in Arduino IDE.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. However, the projects are primarily personal and academic, lacking evidence of team collaboration or enterprise-level project experience. The declared current role at AWS starting in 2026 suggests a forward-looking aspiration rather than current professional experience, which needs clarification. The diversity of projects, from embedded systems to web development and data science, indicates a broad technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but collaboration and communication skills are not evident from the provided data.