Just a 2-minute walk from Thane West Railway Station
Key Responsibilities:
Deliver engaging and comprehensive training sessions that blend core theory with hands-on, practical implementation.
Stays abreast of the latest trends and technologies in the data field
(e.g., GenAI, LLMs, MLOps).
Design and update a cutting-edge curriculum covering the full spectrum of Data Science and Data Analytics, from foundational statistics to advanced machine learning.
Conduct interactive labs and workshops using real-world datasets and case studies.
Guide students through end-to-end projects, including data cleaning, analysis, visualization, and model deployment.
Foster a collaborative learning environment, providing constructive feedback and resolving student queries effectively.
Develop and maintain high-quality training materials, including code notebooks, presentations, and project guides.
Assess and evaluate student progress through assignments, projects, and practical tests.
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Must-Have Skills & Qualifications:
5-6 years of hands-on professional experience in a Data Scientist, Data Analyst, or similar role.
Proven experience in teaching, mentoring, or conducting training sessions with confidence.
Expert, practical proficiency in the following tools and technologies:
Programming: Python (Must-have), with strong knowledge of libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
Data Handling & SQL: Advanced SQL for data querying and manipulation.
Statistics & Mathematics: Strong foundation in descriptive & inferential statistics, probability, and linear algebra.
Machine Learning: Solid understanding and implementation experience of ML algorithms (Supervised, Unsupervised), model evaluation, and validation techniques.
Data Visualization: Expertise in creating dashboards using tools like Tableau or Power BI.
Big Data Fundamentals: Familiarity with big data concepts and platforms like Spark is a plus.
Ideal Candidate Profile:
Exceptional communication and presentation skills, with the ability to explain intricate topics clearly.
A genuine passion for teaching and a student-centric approach.
Stays abreast of the latest trends and technologies in the data field
(e.g., GenAI, LLMs, MLOps).
Self-motivated, punctual, and reliable with a professional demeanor.
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