Machine Learning Engineer || Freelancer || Python Developer
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Amazon.com--Employee-Access-Challenge
December 22, 2020 – December 22, 2020
When an employee at any company starts work, they first need to obtain the computer access necessary to fulfill their role. This access may allow an employee to read/manipulate resources through various applications or web portals. It is assumed that employees fulfilling the functions of a given role will access the same or similar resources. It is often the case that employees figure out the access they need as they encounter roadblocks during their daily work (e.g. not able to log into a reporting portal). A knowledgeable supervisor then takes time to manually grant the needed access in order to overcome access obstacles. As employees move throughout a company, this access discovery/recovery cycle wastes a nontrivial amount of time and money. There is a considerable amount of data regarding an employee's role within an organization and the resources to which they have access. Given the data related to current employees and their provisioned access, models can be built that automatica
View ProjectAutomated-Email-Generation-Using-Deep-Learning
December 16, 2020 – December 16, 2020
This Github repo contains the code for the Case Study - Automated Email Generation Using Deep Learning which makes use of Sequence to Sequence Encoder-Decoder Architecture. I have also added Attention layer to the Seq2Seq model and improved the model's predictions
View ProjectNASSCOM
November 10, 2017 – November 11, 2017
NATC-17: Chat bot to solve information asymmetry in laws, rules and regulations.
View ProjectsmartCam
October 14, 2017 – November 1, 2017
Using Ai and Computer Vision for applications in Transportation, self driving etc.
View ProjectStock-Market-Prediction-Machine-learning
September 26, 2017 – October 23, 2017
—Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration in AI/ML, which aligns with a proactive learning culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment. The diversity of projects, from web development to machine learning, suggests a broad interest but also a potential lack of deep specialization in a single area.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.