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Love solving real world problems . Shaping future with Machine Learning / AI . Making world a better place to live !!
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Quantiphi
Data Scientist
June 18, 2026 – Present
Deploying-a-Sentiment-Analysis-Model-on-Amazon-Sagemaker
November 1, 2020 – November 1, 2020
Deploying-a-Sentiment-Analysis-Model-on-Amazon-Sagemaker using Pytorch
View ProjectBert-Model-Transfer-Learning
October 30, 2020 – October 31, 2021
Whole step by step for transfer learning and fine tuning bert models for task like Q-A, Classifications and others.
View ProjectData-engineering-Working-with-relational-non-relational-db
May 25, 2020 – May 25, 2020
Data-engineering-Working-with-relational-non-relational-db — GitHub repository
View ProjectMachineTranslation
May 15, 2020 – May 15, 2020
MachineTranslation Project in keras Tensorflow
View Projectpredicting_bike_sharing_patterns
May 14, 2020 – August 23, 2022
predicting_bike_sharing_patterns
View ProjectHuman-Activity-Recognition
August 20, 2019 – August 20, 2019
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
View ProjectNYC-Taxi-demand-prediction
August 19, 2019 – August 19, 2019
A Machine Learning Case Study to predict the Demand of Yellow Taxi in New York City at given location and at a given time interval.
View ProjectPersonalized-Cancer-diagnosis
August 19, 2019 – August 19, 2019
Diagnosing Genetic Mutation based on classical literature.
View ProjectCarND-Behavioral-Cloning-P3
April 5, 2019 – April 7, 2019
Cloning Human behavior for self driving car on simulator track . End to End driving model .
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest and initiative in various data science domains, which aligns well with a role requiring continuous learning and problem-solving. The diversity of projects suggests adaptability and a broad technical curiosity. However, without information on collaborative projects or team-based work, assessing team collaboration and cultural alignment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available for evaluation.