I am student at BITS pilani dubai campus -currently in my 4th year -intern at ESRI
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ESRI
Data Scientist
June 14, 2026 – Present
Restricted-boltzmann-machine-used-to-predict-or-recommend-movies-to-user
September 30, 2022 – September 30, 2022
In this project training set is converted to torch tensor i.e. list of lists and has users as rows and movies as columns. A total of 100 hidden nodes are taken. The RBM has been implemented using a function and have added a prediction function as well.
View ProjectRecurrent-neural-networks-to-predict-the-stock-price-of-google
September 21, 2022 – September 21, 2022
here i have used 4 LSTM layers each containing 50 units. 60 timesteps are used i.e. the rnn will factor in the last 60 financial days in order to predict the opening stock price of google. Currently working on increasing the parameters so you can expect updates.
View ProjectExploratory-data-analysis-on-supermarket-sales-dataset
September 18, 2022 – September 18, 2022
EDA on given dataset. Includes
View ProjectCat-Dog-image-recognition-using-convulational-neural-networks-deep-learning-
September 18, 2022 – September 18, 2022
this project is part of the series of deep learning projects am currently working on. This CNN model can correctly predict with an accuracy of 81% whether the input image is a cat or dog. It uses max pooling along with relu and sigmoid activation functions.
View Projectartificial-neural-networks-used-to-predict-customer-retention-in-bank
September 14, 2022 – September 14, 2022
this is my first project using deep learning. It uses the keras in tensorflow library to build , compile and predict 85% accurate results using artificial neural networks with 2 hidden layers
View ProjectStudy-project-on-Mifare-based-tap-in-out-system-for-Hostel-mess
July 30, 2022 – July 30, 2022
Completed under faculty's guidance
View ProjectWine-quality-prediction
July 30, 2022 – July 30, 2022
deals with Exploratory data analysis and machine learning model development for quality prediction based on the given inputs.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects in data science and machine learning, which aligns with a proactive, self-driven learning culture. However, the diversity of projects also includes some web development, which might indicate a broader interest beyond a focused data science path. The current experience at ESRI as a Data Scientist is a positive indicator for cultural fit within a data-centric role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.