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10 yrs of Exp 
Habsiguda, Hyderabad 
1500 per hour Details verified of Dr Raja Venkat Ram✕
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Osmania University 2005
Bachelor of Science (B.Sc.)
Osmania University 2007
Master of Science (M.Sc.)
Chaitanya University 2025
Doctor of Philosophy (Ph.D.)
Habsiguda, Hyderabad, India - 500007
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BCom Tuition
10
BCom Subject
Human Resource Management, Computer Applications in Business, Research Methodology, Business Mathematics and Statistics
Experience in School or College
Experience in Schools as well as Colleges. And also a guest faculty in number of colleges
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
10
BSc Computer Science Subjects
Statistical Methodology, Operational Research, Basic Statistics and Probability, Artificial Intelligence, Data Mining
Experience in School or College
Fully experienced for more than 15 years in engineering colleges.
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Computer Science, BSc Statistics
BSc Statistics Subjects
Stochastic Processes, Numerical Analysis, Econometrics, Bio-Statistics, Probability and Statistical Methods, Linear Models, Applied Statistics, Survey Sampling, Statistical Inference, Operational Research, Design of Experiments
Teaching Experience in detail in BSc Tuition
I have vast experience in teaching all subjects, which also includes expertise in mathematical and statistical models. 8+ years of experience in AI/ML/GenAI and 6+ years of experience in statistical modelling, providing insights to business stakeholders for the growth of revenue and profitability. • Profound knowledge of statistical computer languages R, SAS, Python, Java, and SQL for querying and manipulating data and drawing insights from large data sets. • Experience in various statistical and machine learning models, data mining, and unstructured data analytics in corporate and research environments. • Proven skills in data cleansing, data quality assessment, and using analytics for data assessment. • Adept in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets. • Demonstrated excellence in utilizing applied analytics to enable data-driven decisions by implementing innovative analytic techniques and providing exploratory research and analysis.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Computer Classes
10
Type of Computer course taken
Training in Software application usage, Software Programming, Training in Computer tools usage, Basics of Computer usage
Teaching Experience in detail in Computer Classes
• A result-oriented Data Scientist with over 15+ years of experience in Data Analytics and Statistical Modeling, with strong acumen in the aggregation of large data sets and statistical analysis tools. • 8+ years of experience in AI/ML/GenAI and 6+ years of experience in Statistical Modelling, providing insights to business stakeholders for the growth of revenue and profitability. • Experience in statistical analysis, clinical data transformation, data-quality assurance, analytical reporting, and predictive modeling. Knowledge of clinical trial workflows, CDISC SDTM/ADaM standards, ICH-GCP principles, and regulatory data-integrity requirements, with a focus on accuracy, traceability, and efficient clinical research operations. • Proficiency in conducting statistical design of experiments. • Project management and mentoring junior data scientists. • Profound knowledge of statistical computer languages R, SAS, Python, Java, and SQL for querying and manipulating data, and drawing insights from large data sets. • Experience in various statistical and machine learning models, data mining, and unstructured data analytics in corporate and research environments. • Proven skills in data cleansing, data quality assessment, and using analytics for data assessment. • Adept in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets. • Demonstrated excellence in utilizing applied analytics to enable data-driven decisions by implementing innovative analytic techniques and providing exploratory research and analysis.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
15
Data science techniques
SAS, Java, Python, Machine learning, Artificial Intelligence, R Programming
Teaching Experience in detail in Data Science Classes
• A result-oriented Data Scientist with over 15+ years of experience in Data Analytics and Statistical Modeling with strong acumen in the aggregation of large data sets and statistical analysis tools • 8+ years of experience in AI/ML/GenAI and 6+ years of experience in Statistical Modelling and provided insights to the Business Stakeholder for the growth of Revenue and Profitability • Experience in statistical analysis, clinical data transformation, data-quality assurance, analytical reporting, and predictive modeling. Knowledge of clinical trial workflows, CDISC SDTM/ADaM standards, ICH-GCP principles, and regulatory data-integrity requirements, with a focus on accuracy, traceability, and efficient clinical research operations. • Proficiency in conducting statistical Design of Experiments • Project management and mentoring junior data scientists • Profound knowledge of statistical computer languages R, SAS, Python, JAVA and SQL for querying and manipulating data and draw insights from large data sets • Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate and research environments • Proven skills in data cleansing, data quality assessment, and using analytics for data assessment • Adept in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets • Demonstrated excellence in utilizing applied analytics to enable data-driven decisions by implementing innovative analytic techniques, and providing exploratory research and analysis
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BCom Tuition
10
BCom Subject
Human Resource Management, Computer Applications in Business, Research Methodology, Business Mathematics and Statistics
Experience in School or College
Experience in Schools as well as Colleges. And also a guest faculty in number of colleges
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
10
BSc Computer Science Subjects
Statistical Methodology, Operational Research, Basic Statistics and Probability, Artificial Intelligence, Data Mining
Experience in School or College
Fully experienced for more than 15 years in engineering colleges.
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Computer Science, BSc Statistics
BSc Statistics Subjects
Stochastic Processes, Numerical Analysis, Econometrics, Bio-Statistics, Probability and Statistical Methods, Linear Models, Applied Statistics, Survey Sampling, Statistical Inference, Operational Research, Design of Experiments
Teaching Experience in detail in BSc Tuition
I have vast experience in teaching all subjects, which also includes expertise in mathematical and statistical models. 8+ years of experience in AI/ML/GenAI and 6+ years of experience in statistical modelling, providing insights to business stakeholders for the growth of revenue and profitability. • Profound knowledge of statistical computer languages R, SAS, Python, Java, and SQL for querying and manipulating data and drawing insights from large data sets. • Experience in various statistical and machine learning models, data mining, and unstructured data analytics in corporate and research environments. • Proven skills in data cleansing, data quality assessment, and using analytics for data assessment. • Adept in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets. • Demonstrated excellence in utilizing applied analytics to enable data-driven decisions by implementing innovative analytic techniques and providing exploratory research and analysis.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Computer Classes
10
Type of Computer course taken
Training in Software application usage, Software Programming, Training in Computer tools usage, Basics of Computer usage
Teaching Experience in detail in Computer Classes
• A result-oriented Data Scientist with over 15+ years of experience in Data Analytics and Statistical Modeling, with strong acumen in the aggregation of large data sets and statistical analysis tools. • 8+ years of experience in AI/ML/GenAI and 6+ years of experience in Statistical Modelling, providing insights to business stakeholders for the growth of revenue and profitability. • Experience in statistical analysis, clinical data transformation, data-quality assurance, analytical reporting, and predictive modeling. Knowledge of clinical trial workflows, CDISC SDTM/ADaM standards, ICH-GCP principles, and regulatory data-integrity requirements, with a focus on accuracy, traceability, and efficient clinical research operations. • Proficiency in conducting statistical design of experiments. • Project management and mentoring junior data scientists. • Profound knowledge of statistical computer languages R, SAS, Python, Java, and SQL for querying and manipulating data, and drawing insights from large data sets. • Experience in various statistical and machine learning models, data mining, and unstructured data analytics in corporate and research environments. • Proven skills in data cleansing, data quality assessment, and using analytics for data assessment. • Adept in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets. • Demonstrated excellence in utilizing applied analytics to enable data-driven decisions by implementing innovative analytic techniques and providing exploratory research and analysis.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
15
Data science techniques
SAS, Java, Python, Machine learning, Artificial Intelligence, R Programming
Teaching Experience in detail in Data Science Classes
• A result-oriented Data Scientist with over 15+ years of experience in Data Analytics and Statistical Modeling with strong acumen in the aggregation of large data sets and statistical analysis tools • 8+ years of experience in AI/ML/GenAI and 6+ years of experience in Statistical Modelling and provided insights to the Business Stakeholder for the growth of Revenue and Profitability • Experience in statistical analysis, clinical data transformation, data-quality assurance, analytical reporting, and predictive modeling. Knowledge of clinical trial workflows, CDISC SDTM/ADaM standards, ICH-GCP principles, and regulatory data-integrity requirements, with a focus on accuracy, traceability, and efficient clinical research operations. • Proficiency in conducting statistical Design of Experiments • Project management and mentoring junior data scientists • Profound knowledge of statistical computer languages R, SAS, Python, JAVA and SQL for querying and manipulating data and draw insights from large data sets • Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate and research environments • Proven skills in data cleansing, data quality assessment, and using analytics for data assessment • Adept in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets • Demonstrated excellence in utilizing applied analytics to enable data-driven decisions by implementing innovative analytic techniques, and providing exploratory research and analysis
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Hyderabad
