Data Scientist | Machine Learning | Deep Learning | Python | NLP |
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deloitte
Data Scientist
June 16, 2026 – Present
kushwahadk.github.io
July 3, 2025 – September 17, 2025
kushwahadk.github.io — GitHub repository
View ProjectAgenticAI-resources
June 5, 2025 – June 5, 2025
Repository to contain all the Agentic AI resources at one place.
View ProjectNeural-Machine-Translation
August 18, 2020 – August 21, 2020
Repository for implementation of Neural Machine translation using basic to advance Deep NLP techniques
View ProjectLSTM-Chatbot
August 11, 2020 – August 18, 2020
Chatbot based on seq 2 seq architecture implemented in Tensorflow
View ProjectNeural-Language-Model
August 10, 2020 – August 10, 2020
Language Modeling using Recurrent Neural Networks implemented over Tensorflow 2.0 (Keras) (GRU, LSTM)
View ProjectLive-Face-Mask-Detection
August 8, 2020 – August 8, 2020
A project on face mask detection using the live video feed.
View Project100DaysOfMLCode
August 2, 2018 – January 27, 2020
100 Days of ML Code, Including all machine learning related algorithms and processes explained with jupyter notebooks.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest and alignment with the Data Scientist role, particularly in AI/ML. The projects are primarily personal and academic in nature, indicating a self-starter mentality. However, the lack of diverse project types (e.g., open-source contributions, team projects, or projects outside of core ML) and limited information on professional experience (one future role listed) makes a comprehensive cultural fit assessment challenging. The focus is heavily on individual technical exploration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a strong technical focus and self-driven learning, but collaboration, problem-solving under pressure, and communication in a team setting cannot be evaluated from the provided data.