Alka Shukla Data Analytics, Physics.
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I am a lifelong learner with a strong academic background and a deep interest in Physics, which I studied with curiosity and rigor, developing a clear, intuitive, and conceptual understanding of the subject. I have successfully cleared SSC CGL up to document verification, and through years of disciplined self-education, I have studied a wide range of subjects including Geography, History, Polity, Economy, and Management, cultivating strong analytical depth and interdisciplinary thinking.
Currently, I work as a Data Analyst, actively learning Machine Learning and building hands-on projects in Exploratory Data Analysis (EDA), analytics, and predictive modeling. I use SQL extensively for data extraction, joins, aggregations, and business-driven querying, and Python for data cleaning, transformation, statistical exploration, visualization, and insight generation using libraries such as Pandas, NumPy, and Matplotlib. My EDA work focuses not just on patterns and trends, but on understanding why the data behaves the way it does and how insights can translate into real-world decisions.
My academic journey across competitive examinations and data science has shaped the way I both learn and teach - by breaking complex topics into granular parts, identifying core principles, and rebuilding them into simple, logical, and engaging explanations. I strongly believe that most concepts are not difficult by nature; they only appear so when taught without clarity or context.
My experience of dissecting complex ideas has helped me learn deeply and explain concepts effectively to peers and students alike. I find the greatest satisfaction when a learner - especially at the school level - begins to understand a concept in Physics, Mathematics, or any subject they once feared, and realizes that it is well within their grasp.
I am open to projects in Data Analysis and Machine Learning, and equally passionate about teaching and mentoring. My goal is to make learning intuitive, pressure-free, and empowering, and to help learners and teams experience education and problem-solving as something exciting, structured, and achievable.

Subjects

  • Geography Beginner-Intermediate

  • Science Beginner

  • Quantitative Aptitude Beginner-Intermediate

  • SQL Beginner-Intermediate

  • Python (for Beginners)

Experience

No experience mentioned.

Education

  • Data Science Machine Learning (Dec, 2024–now) from Scaler Academy, Bangalore
  • B.Sc honours Physics (Jul, 2013–Aug, 2016) from INVERTIS UNIVERSITY BAREILLY–scored 78%

Fee details

    ₹150–800/hour (US$1.58–8.42/hour)

    Depending upon the complexities of the problems and the kind of expertise needed the fee could vary, i am happy to share my learning while keeping fee secondary.

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