Data Science Classes near me in Madhapur, Hyderabad

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Experienced Data Scientist with a demonstrated history of working in the information technology and services industry. Skilled in Python (Programming Language), Sentiment Analysis, Deep Learning, Data Analytics, and computer vision. Have 4 years of work experience and also have been sharing my knowledge through teaching for the past 2 years.

I am professional tutor with 5 years of teaching experience and 8 years of working experience. My skills are Python IDE/ programming language, Statistics, Data set handling, NLP, predictive modelling methods/ tools, ML, AI foundations, deep learning, Web scrapping, image processing.

I am a passionate and experienced Python programming instructor dedicated to empowering learners with the skills and knowledge they need to succeed in the rapidly evolving field of technology. My teaching style is interactive, hands-on, and tailored to the needs of each learner. I believe in fostering a supportive learning environment where students feel comfortable asking questions, making mistakes, and exploring Python's vast capabilities. Through a combination of lectures, coding exercises, and real-world projects, I strive to make complex concepts accessible and engaging for students at all levels. Proven track record of helping students master Python programming concepts and achieve their learning goals Areas of Expertise: 1.Python fundamentals 2.Object-oriented programming (OOP) concepts 3.Data analysis and visualization 4.Machine learning 5.Artificial intelligence 6.Structured Query Language (SQL) 7.Database connection

I have 8 years of experience in Core PHP, Code-igniter and PHP frameworks. I am expertise in Drupal version 7th and 8th.

We are a team Data Scientists & Big Data Engineers with rich experience ranges from 3 years to 12 years; we would love to train and mentor the data science aspirants & big data engineers . We do facilitate the online lab environment along with data sets, and there are many capstone projects.

We, NXT Learning Interactive, are offering various training in IT/Software by Industry experts & certified professionals having real-time exposure to give you the edge to excel and leverage the maximum of the opportunities in the industry. We offer comprehensive learning solutions for a wide spectrum of audiences ranging from freshers in colleges to experienced professionals incorporates. NXT Learning expertise to provide, from concept to execution, the complete array of services necessary in the area of education services and skill development. We will help you figure out your inclination and eventually work to develop the required skills. Contact us and let us assist you with your technical education.

JP Mishra CEO and Founder Executive Business Analytics - IIM Calcutta, PGDESD - CDAC I have over 11+ years of experience in analytics and consulting with leading global organizations such as UnitedHealthGroup, ADP Wilco, Callidus, Satyam, SHS and has deep expertise in AI, Data Science, Designs analytical methods for insights mining in the area of Fraud Analytics, Churn Analytics, Denial Management, NLP conversational, Face-recognition/Object-detection. Vastly experienced in carrying out Analytics Training Program for Corporate like Mercedes-Benz, Oracle, KPMG, CITRIX, Bank Of America, American Express, , Ericsson, Citi Bank, IBM, Unisys, Hero_FinCorp, Samsung Harman & IIT_Kanpur , and provided online trainings to Cross Cultural Workforce Worldwide(USA, Singapore, UAE, etc).

Cognizant, Associate (ML) Client: Google (DBM) Sep 2018- Present Objective: To decrease escalation count by predicting whether a ticket is going to meet SLA or not. â?¢ Built automated tool to navigate tickets to top performing Agent. â?¢ Joined tables and Cleansed data sets to form consolidated table in PLX SQL database. â?¢ Clustered Agents based on tenure,submitter location, shift timing, language of ticket â?¢ Predicted whether the ticket meet SLA or Not and increasing TFS SLA depending upon the dependency. â?¢ Used K-Means, XG-Boost and Random Forest. â?¢ Developed and modified business requirement documents in Agile Methodology . Experienced in Google SQL. â?¢ Packages: Dplyr, Lubridate, Dremel SQL, Random Forest Client: Apple Aug 2018 Objective: To improve operation metrics of operators by predicting No Action Required cases. â?¢ Built automated tool to predict whether a ticket is going to be NAR or not. â?¢ Cleansed and validated data sets based on business requirements. â?¢ Used Word2Vec and Glove Model to find the relation between the dependent and independent variables. â?¢ Used Na�¯ve Bayes to perform text classification. â?¢ Displayed trends and probability of being a ticket to be NAR or not. â?¢ Used Nltk, Word2Vec, Glove, CNN Client: Google July 2018 Objective: To find the root cause of increase or decrease in Map Accuracy score and providing insights to improve operation metrics. â?¢ Modify databases and tables based on client needs. Developed stored procedures and functions to modularize the ad hoc queries. â?¢ Cleansed and validated tables to provide insights in data to increase map accuracy â?¢ Built dashboards, debugged and explored reasons behind discrepancies in data. â?¢ Created and Documented test cases to be used for validation of data to satisfy the business requirements. â?¢ Packages: Dremel SQL, PLX dashboards Client: Google Apr 2018-June 2018 Objective: To automate, maintain ,validate and visualize metrics to understand the changes in operation metrics. â?¢ Automated existing dashboards by creating new temporary tables and stored procedures. â?¢ Conducted data preparation, and outlier detection using SQL queries and explored the key reasons. â?¢ Built dashboards with business objective as a primary focus. Conducted data preparation, and outlier detection using SQL queries and explored the KPI. â?¢ Packages: Dremel SQL, PLX dashboards INSOFE, Data Scientist Intern Client: Colombian Power Distribution Unit: Apr 2017- Mar 2018 Objective: Provide Rules to decrease Loss at a geographical location. â?¢ Clustered meters based on Geographical Location using K Means Clustering.. â?¢ Predicted technical Power loss for clustered meters using Linear Regression and Has provided decision rules to minimize technical loss at a location. â?¢ Mapped predicted loss to a map-based UI using Folium API. â?¢ Dumped data into SQL table. Used prediction column as source to display loss on webpage. â?¢ Packages: : Dplyr, Lubridate,Sqldf, kkmeans ,lm