Rakesh Nadiminti Data Scientist
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I am passionate about teaching and simplifying complex concepts so that every student can learn with confidence and curiosity. With strong expertise in Mathematics, Python Programming, and SQL, I focus on building clear foundations, practical problem-solving skills, and real-world application.

Mathematics: I help students strengthen their basics and develop logical reasoning skills. Whether it’s algebra, calculus, probability, or applied mathematics, my approach combines theory with step-by-step problem solving, ensuring students don’t just memorize but truly understand.

Python Programming: From beginners learning their first lines of code to advanced learners exploring data structures, algorithms, or real-world projects, I teach Python in an interactive and hands-on way. My lessons emphasize writing clean code, problem-solving, and applying Python to domains like data analysis and automation.

SQL & Databases: I train students to work confidently with databases—covering queries, joins, subqueries, stored procedures, and optimization techniques. Students learn not only how to write queries but also how to think in terms of data relationships and solve practical problems efficiently.

✨ Teaching Style:
My teaching is interactive, structured, and student-focused. I break down topics into simple explanations, use plenty of examples, and encourage active problem-solving. Each session is tailored to the learner’s pace and goals—whether that’s exam preparation, skill-building for jobs, or project guidance.

📚 What Students Gain:

Strong conceptual clarity in Maths, Python, and SQL

Improved problem-solving and analytical thinking

Confidence to apply skills in academics, projects, and real-world scenarios

Guidance with practice exercises, assignments, and interview preparation

Subjects

  • SQL Beginner-Expert

  • Python 3 Beginner-Expert

  • Maths (10+2)

Experience

  • Digital specilist engineer (Jun, 2022–Present) at 3 Years of experience in infosys
    Data and AI Enginner

    Data Engineering & Pipeline Optimization

    Design, setup, and maintenance of ETL environments, including dependency cleanup and legacy component removal.
    Development and enhancement of data flows from ADLS to Kusto, ensuring efficient ingestion and transformation.
    Implementation of deduplicated ingestion pipelines for production-grade community tables.

    ⚙️ Platform Migration & Configuration

    Migration of Logic Apps to new subscriptions with shared service account integration.
    Validation and stabilization of API connections and Logic App configurations.
    Alignment of Purview deployment with historical and incremental load logic.

    Machine Learning & Forecasting

    Development and evaluation of time series ML models for customer health scoring under Project Catalyst.
    Productionization of CHI forecasting models for 3- and 6-month horizons.
    Normalization and validation of health scores, including comparative analysis with SHI metrics.

    Data Governance & Monitoring

    Oversight of DR Synapse pipeline monitoring and deployment alignment.
    Strengthening of governance through enhanced monitoring and standardized naming conventions.

    ️ Bug Fixes & UI Enhancements

    Resolution of UI issues and feedback-related bugs, including word cloud noise and category formatting.

Education

  • B.Tech (Jun, 2018–May, 2022) from GMR INSTITUTE OF TECHNOLOGY (SRIKAKULAM)

Fee details

    ₹300–1,000/hour (US$3.16–10.53/hour)

    Based on the time fees varies. Explaining or teaching on Extra hours teaching wil vary in fee

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