Uppal Chilkanagar, Hyderabad 
400 per hour Details verified of Mutha Muralidar Reddy✕
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Online Classes Telugu Mother Tongue (Native)
English Proficient
Hindi Basic
Bangalore University 2023
Bachelor of Technology (B.Tech.)
Uppal Chilkanagar, Hyderabad, India - 500076
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St. Peters Central Public School
Hanamkonda, Hanamkonda
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in C++ Language Classes
2
Proficiency level taught
Advanced C++, Basic C++
Teaching Experience in detail in C++ Language Classes
Designed and implemented C++ modules using Object-Oriented Programming, STL containers, smart pointers, and efficient algorithms. Worked with threads, mutexes, file handling, and low-level memory operations. Optimized code for performance, reduced runtime bottlenecks, and ensured clean architecture following SOLID principles. Used CMake/Git, wrote unit tests, and maintained high-quality, production-ready C++ code
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
2
Course Duration provided
1-3 months
Seeker background catered to
Individual, Corporate company, Educational Institution
Python applications taught
Data Analysis with Python , Regular Expressions with Python
Teaching Experience in detail in Python Training classes
I have hands-on experience using Python to perform end-to-end data analytics, covering everything from data cleaning and transformation to exploration, visualization, and insight generation. My daily toolkit includes Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for handling structured datasets, performing calculations, and identifying meaningful trends. I frequently work with messy, real-world data—cleaning it, handling missing values, standardizing formats, and preparing it for analysis or modeling. I’m comfortable conducting exploratory data analysis (EDA) to understand relationships, patterns, and anomalies within datasets, and I can translate those findings into clear visualizations and reports that help guide decision-making. Using Python, I’ve automated repetitive analytical tasks and built reusable scripts to streamline reporting, saving time and reducing human error. Alongside analytics, I use statistical techniques such as correlation analysis, hypothesis testing, and forecasting methods to extract deeper insights. I’ve also worked with SQL, integrating Python with databases for seamless data extraction. Overall, my Python analytics experience revolves around taking raw data, structuring it intelligently, analyzing it with clarity, and presenting insights that add genuine value to business and technical teams.
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in C++ Language Classes
2
Proficiency level taught
Advanced C++, Basic C++
Teaching Experience in detail in C++ Language Classes
Designed and implemented C++ modules using Object-Oriented Programming, STL containers, smart pointers, and efficient algorithms. Worked with threads, mutexes, file handling, and low-level memory operations. Optimized code for performance, reduced runtime bottlenecks, and ensured clean architecture following SOLID principles. Used CMake/Git, wrote unit tests, and maintained high-quality, production-ready C++ code
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
2
Course Duration provided
1-3 months
Seeker background catered to
Individual, Corporate company, Educational Institution
Python applications taught
Data Analysis with Python , Regular Expressions with Python
Teaching Experience in detail in Python Training classes
I have hands-on experience using Python to perform end-to-end data analytics, covering everything from data cleaning and transformation to exploration, visualization, and insight generation. My daily toolkit includes Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for handling structured datasets, performing calculations, and identifying meaningful trends. I frequently work with messy, real-world data—cleaning it, handling missing values, standardizing formats, and preparing it for analysis or modeling. I’m comfortable conducting exploratory data analysis (EDA) to understand relationships, patterns, and anomalies within datasets, and I can translate those findings into clear visualizations and reports that help guide decision-making. Using Python, I’ve automated repetitive analytical tasks and built reusable scripts to streamline reporting, saving time and reducing human error. Alongside analytics, I use statistical techniques such as correlation analysis, hypothesis testing, and forecasting methods to extract deeper insights. I’ve also worked with SQL, integrating Python with databases for seamless data extraction. Overall, my Python analytics experience revolves around taking raw data, structuring it intelligently, analyzing it with clarity, and presenting insights that add genuine value to business and technical teams.
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