Lead Data Scientist | NLP • GenAI • Agentic AI • MLOps — building production AI systems that drive business impact.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
sukhijapiyush.github.io
January 25, 2026 – Present
sukhijapiyush.github.io — GitHub repository
View ProjectDisease-Risk-Prediction
January 11, 2025 – January 28, 2025
Disease-Risk-Prediction — GitHub repository
View ProjectFine-Tune-Bert-for-Sentence-Pair-Classification
July 18, 2023 – February 27, 2025
BERT: Sentence-Pair Classification for Natural Language Understanding
View ProjectStyle-transfer-MRI-using-cyclegan
June 27, 2023 – June 27, 2023
MRI style transfer from T1 to T2 and vice versa using CycleGAN(TensorFlow Implementation)
View ProjectCodePro-mlops-using-airflow-mlflow
June 27, 2023 – February 27, 2025
Airflow Pipeline for Lead Scoring to Maximize Profit with retraining pipeline and Development experimentation using mlflow
View ProjectNLP-Case-Study---Automatic-Ticket-Classification
April 2, 2023 – February 27, 2025
Automated support ticket classification using NLP and ML algorithms.
View ProjectGesture-Recognition-using-the-CNN
April 1, 2023 – February 27, 2025
A CNN-based hand gesture recognition project aimed at automating home appliances through recognition of the user's hand gestures.
View ProjectCRF-model-for-a-custom-NER-HealthCare-Systems
April 1, 2023 – February 27, 2025
Named Entity Recognition for HealthCare Data using Custom CRF model and predict disease pf patients based on complaints
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on Machine Learning and Deep Learning, which aligns with a Data Scientist role. However, the lack of team projects, diverse industry exposure, or non-technical contributions limits the assessment of broader cultural fit. The projects indicate a strong individual drive for learning and application in specific technical areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.