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Data Science with 3+ years in Machine Learning & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Scientist and Machine Learning Engineer with hands-on experience designing, training, and deploying ML models and data pipelines for large-scale, geospatial, and customer datasets. Delivered production data-quality ML that automated pre-screening across millions of records; built end-to-end solutions including web/mobile data collection, ETL, and Power BI dashboards to surface actionable insights. Expert in Python, SQL, Selenium, ML, DL, RAG, MCP, and Spark; passionate about turning messy data into reliable, scalable analytics that solve business problems.
National Institute of Statistics And Applied Economics-INSEA
Engineering Degree · Data Science
September 1, 2019 – July 1, 2022
Preparatory Classes Lissane Eddine Ibn AL Khatib-CPGE
MPSI · MATHS, Physics AND Engineering
September 1, 2016 – July 1, 2019
Dell Technologies
Contractor - ML Engineer (Customer Data Quality)
March 1, 2024 – March 1, 2026
India
FancyvisionAI
Freelancer - Mobile Data Collection Automation
November 1, 2023 – March 1, 2024
India
TerraModus
Data Engineer / Data Analyst - Data Science (Real Estate)
January 1, 2023 – August 1, 2023
India
INVOLYS
Data Scientist: intern / Introducing parallelism to automated machine learning
February 1, 2022 – July 1, 2022
India
Rasa Developer Certification
Unknown
January 1, 2024 – Present
IBM Big Data Engineer
IBM
February 1, 2022 – Present
HCIA-Big Data
Unknown
January 1, 2022 – Present
DeepLearning.AI
DeepLearning.AI
November 1, 2021 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from ML engineering at Dell to freelance mobile development and data science in real estate, indicates adaptability and a broad interest in applying data science across different domains. Their involvement in multiple certifications (DeepLearning.AI, IBM Big Data Engineer, Rasa Developer) shows a commitment to continuous learning and professional development. The blend of corporate, freelance, and startup experience suggests a candidate who can thrive in various organizational structures and contribute to different team dynamics. The focus on delivering tangible business value (e.g., improving data quality, accelerating issue resolution, price prediction) aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through their work on data quality, ML model deployment, and automation. Their experience in leading mobile application development and backend design suggests good project management and end-to-end delivery capabilities. The focus on improving efficiency and decision-making (e.g., RAG assistant, automated reporting) points to a results-driven and proactive work attitude. The diverse project experience also suggests adaptability and a willingness to tackle varied technical challenges.