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Data Scientist | AI Engineer | Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Community_Detection
April 6, 2020 – April 13, 2020
Community detection is an important research area in social networks analysis where we are concerned with discovering the structure of the social network. Detecting communities is of great importance in sociology, biology and computer science, disciplines where systems are often represented as graphs.
View Projectrecommendation_system
August 5, 2019 – January 28, 2022
recommendation_system — GitHub repository
View Projectmachine_translation
February 2, 2019 – February 2, 2019
machine_translation — GitHub repository
View ProjectULMFiT_Text_Classification
November 30, 2018 – November 30, 2018
Transfer Learning for NLP Tasks
View Projecttextrank_text_summarization
November 5, 2018 – November 5, 2018
A tutorial for Automatic Text Summarization using TextRank algorithm.
View Projecttopic_modeling_online_reviews
October 15, 2018 – October 16, 2018
topic_modeling_online_reviews — GitHub repository
View Projectlatent_semantic_analysis
September 30, 2018 – October 4, 2018
latent_semantic_analysis — GitHub repository
View Projecttwitter_sentiment_analysis
September 22, 2018 – September 22, 2018
A guide for binary class sentiment analysis of tweets.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on NLP and graph analysis, which aligns with a Data Scientist role. However, the lack of diverse project types (e.g., data engineering, MLOps, A/B testing, business impact) and team-based experience limits the assessment of broader cultural fit and adaptability within a diverse team environment. All projects are marked as 'personal', suggesting limited experience in collaborative or production-oriented settings.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication.