Deep Learning Enthusiast, Can work on Machine Learning Projects. Have a great hands-on experience in development using Django. Work as a team with @ultimategarg
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amcipher Labs
Data Scientist
June 20, 2026 – Present
FacialExpressionDetectionUsingCNN
December 15, 2021 – December 15, 2021
Used different models to predict emotions on fer2013 dataset. Best Accuracy : 64% (human accuracy on the dataset : 68+-5%)
View Project2LayerPerceptronFromScratch
December 15, 2021 – December 15, 2021
2LayerPerceptronFromScratch — GitHub repository
View Projectmy-rasa-bot-template
May 29, 2021 – May 29, 2021
my-rasa-bot-template — GitHub repository
View Projectkisaan
August 10, 2019 – October 6, 2019
this is the repo for all our work done for the hack
View Projectmetacube_smart_contract_real_estate
February 3, 2019 – December 7, 2022
This repo. is for our team Creation For Innovation submission in SKIT RTU hackathon 2019
View Projectchallenge
January 15, 2019 – January 15, 2019
Find analyze popularity trends of particular name across years and conclude interesting results.
View ProjectCultural Fit Analysis
The candidate's project history shows a mix of web development (JavaScript, CSS, HTML, PHP) and data science related projects (Python, Jupyter Notebook, CNN, Perceptron). While there's an alignment with the 'Data Scientist' target role through specific projects and current employment, the overall project diversity suggests a broad interest rather than a focused deep dive into data science. The hackathon participation indicates a willingness to engage in team-based, time-constrained projects, which can be a positive cultural indicator. However, the lack of detailed descriptions makes it difficult to fully assess cultural alignment.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are brief and do not offer insights into collaboration, communication, or problem-solving approaches beyond technical implementation.