Data Science Classes near me in Bangalore

I am an Engineer. I have been giving home and online tuition for 3 years. I have 12 Years of professional experience in Machine Learning and Data Science projects, and Cypress automation testing. I can help you in completing your projects.

I have completed a three-year Ph.D. program in Computational Biology. Teaching has always been my passion, and alongside my studies, I have been providing personal tuition to students. I am proud to say that I have also contributed to the field through my publications. As an educator, I specialize in teaching Machine Learning, Python programming (both basic and advanced), and various other topics related to computational biology. I offer online sessions that last for one hour, ensuring that they are interactive and practical. I believe active engagement is crucial for effective learning, and I strive to create an environment where students can actively participate and ask questions. In my teaching methodology, I avoid relying solely on PowerPoint presentations. Instead, I prefer a more hands-on approach. I provide comprehensive notes and assignments to my students, allowing them to practice and apply the concepts they have learned. By doing so, I aim to enhance their understanding and help them develop their skills. I understand the importance of adapting to the individual needs of each student. Therefore, I tailor my teaching methods and pace to ensure students grasp the content effectively. I am patient and supportive, creating a comfortable space for my students to express their doubts and concerns. Through my teaching experience, I have witnessed the joy and satisfaction of seeing my students succeed. I take great pride in their accomplishments and strive to impact their educational journey positively.

I am a Data Scientist with 14 years of industry experience. I have been providing online classes on the complete Data Science spectrum from beginner to advanced. I have worked with reputed MNCs like Seagate, Western Digital, Ernest Young, AutomationAnywhere etc. I also own a startup - IdeaVantage. I have delivered ground breaking AI models in the field of - HealthCare, Medicine, Automation, Manufacturing, Creative Arts, Semiconductor etc. My key skills include - statistics and maths for data science, classical machine learning, deep learning (Computer Vision and Natural Language Processing), cloud, python, c/c++.

Motivated business and data scientist with 5 years of experience across fashion , gaming, entertain domains. Proven technical expertise and business acumen necessary to translate business requirements and objectives into scalable, highly resilient

Learn from an IITIian 25 years in IT industry , MTech from IIT Kharagpur in computer science Hands on on python coding and works on string fundamentals along with data science, Machine learning AI Get hands on from an expert

I have provided training on R in my company and to individuals.

I am Software and Big Data Analytics Engineer at a MNC with 3 years of industry experience in Data Science, Big data analytics, Artificial Intelligence, Machine Learning and Computer Vision with one defensive publication. I have worked on multiple projects during my tenure at an organization in Travel/Airline Industry. As my passion I like to prepare teaching materials and tutor anyone from beginners to professional in the field of Data Science.

I work as an IT professional in one of the top MNCs,I love to teach because I believe imparting knowledge is one of the greatest contributions.I come from a family which has a history into teaching and indeed consider this to be a noble profession. Coming to my domain of data science, I would introduce you to the concepts along with hands-on learning because I believe hands on learning is one of the key concepts for the corporate world and to make an individual industry ready professional.

I am having 5 years hands on experience in Data Science, Machine Learning Algorithms,Natural Language Processing and Python. I laready trained some of my friends personally and provided them personal projects and explained them how to deal with the business problems and how to solve the business issues by using Machine Learning Algorithms.

I'm Graduated from Central university of karnataka. I'm certified in Data science in python, Machine learning. my skill sets are python, Artificial intelligence, Machine learning.

. Result‐driven IT professional with 19 years of experience in Software Product Development, including 9 years in Data Science and AI. . Extensive expertise in Supervised and Unsupervised learning, including Deep Learning, Regression, Clustering, Classification, Time-series Analysis, Anomaly Detection, Text Mining, and NLP. . Proficient in building Generative AI applications focused on text generation and optimization for enterprise solutions. . Skilled in Retrieval-Augmented Generation (RAG) for real-time knowledge retrieval and intelligent responses. . Experienced in developing AI agents for task automation and conversational assistance using frameworks like LangChain and OpenAI APIs. . Hands-on experience with Intelligent Document Processing solutions, leveraging advanced technologies such as Tesseract, Google Vision, Azure Form Recognizer, and AWS Textract. . Expertise in data visualization tools/libraries such as Plotly Dash, Matplotlib, Seaborn, Tableau, and D3. . Proven ability to deliver end-to-end Data & Analytics solutions and Enterprise AI systems across diverse industries.

Data Science is a scientific discipline that combines programming, statistics, and advanced mathematics. My classes are interactive and one-on-one, where I focus on helping students truly understand the concepts behind the formulas rather than just memorizing them. What I offer: Personalized Learning: I conduct live sessions to understand each student’s background and learning style. Based on this, I prepare customized content and a tailored schedule to ensure effective learning.Practical Practice: I provide ample practice sheets and exercises grounded in real-world scenarios, helping students apply concepts effectively and gain confidence. My goal is to make learning Data Science engaging, practical, and concept-driven so that students can excel in both academics and real-world applications.

9 Years of experience Thought 100+ students and successfully placed 20+ students till now

We are covering Data science with Python and R from basics to indepth.

Objectives – Having 18.5 years of experience As a Technical Lead and Architect, I am passionate about leveraging my expertise in Databricks, Data Build Tool, Spark, Confluent Kafka, Data Lake, Lake House and Cloud Solutions to drive innovation and efficiency. With a solid background in data architecture and IT Infrastructure, I am to contribute to the robust and vision of your company by providing ro bust technical solutions that align with strategic business goals. My Goal is to enhance data-driven decision-making processes, optimize big data pipelines and implement secure and scalable cloud architectures that people the organization forward in the ever-evolving technical landscape. Certification & Achievements – 1. Confluent Certified Administrator for Apache Kafka: expiry July 2026. Confluent Certified Administrator for Apache Kafka • Amit Raj • Confluent 2. Databricks Certified Data Engineer Professional: expiry Aug 2026 Databricks Certified Data Engineer Professional • Amit Raj • Databricks Badges 3. Databricks Accredited Lakehouse Fundamentals: expiry June 2025 Academy Accreditation - Databricks Lakehouse Fundamentals • Amit Raj • Databricks Badges 4. Microsoft Certified: Azure Administrator Associate (AZ104): Microsoft certification ID: 1100039942 Expires on: August 3, 2025 Credentials - AmitRaj-8869 | Microsoft Learn 5. Microsoft Certified: Azure Security Engineer Associate (AZ500): Microsoft certification ID: 1100039942 Expires on: August 6, 2025 Credentials - AmitRaj-8869 | Microsoft Learn 6. Recognition certificate from Fidelity for designing global solutions for Data exchange. 7. Got Achievement medal from DIB(Client) with appreciation for design event-based enterprise architecture & contribution – EventHub SUMMARY • Overall total of 18.5+ years of Experience years of Experience in Application Design, Development & Deployment of Hadoop Eco System/Java/J2EE systems with good exposure to Enterprise Architecture. • Relevant Experience 9.2 years in Big Data technologies working with multiple clients and domain knowledge. • Experienced in Cassandra data modelling, cluster setup and data management. • Experienced in working with Spark-SQL, Spark SQL and Spark Structure Streaming, MLib to process and analyse data queries. • Experienced in designing solutions using Spark Streaming and Kafka Streaming for Payment Gateway/point of sales events. • Individual Contribution (Kafka Architect): Delivered UAT and PROD Cluster within the timeline for Kafka cluster using Cloudera 6.x, CSP 2.0. • Implemented a unified data platform to gather data from different sources using Kafka Producers and consumers in Scala and java. • Solid background in Object-Oriented analysis & design, UML and various design patterns. • Worked using Azure cloud(Blob, EventHub), Kubernetes, docker with Spark, scala, Schema Registry, Avro Schema with home security application for Honeywell • Implemented KSQL, KTable and KStream using Confluent Kafka along with Kafka Connect. • Hands-on Data bricks - Databricks Clusters, Data Lakehouse, Delta lake, DBFS, EXPLORE, Analyze, Clean, Transform and Load Data using Databricks. • Experience with Azure: Azure Synapse Analytics, ADLS, ADF, CosmoDB, Azure Function, Stream Analytics, Power BI. • Experience with SQL and NoSQL databases including Mysql, Oracle, Cassandra, and PostgreSQL. BigTable • Experience building and optimizing the ‘big data’ data pipeline. • Experince with Azure Devops, CI/CD pipeline, Kubernetes and docker • Motivated Technical Architect with 5 years of progressive experience. • Having Experience AWS (Ec2,S3) • Having experience with Snowflake to design data lake and load data from multiple sources to the Snowflake database. • Effectively manages assignments and team members. • Dedicated to self-development to provide expectation-exceeding service. Customer-focused, successfully contributing to company profits by improving team efficiency and productivity. • Utilizes excellent organizational skills to enhance efficiency and lead teams to achieve outstanding delivery. SKILLS == ===================  Database architecture  Database architecture development  Data Architecture  Big Data ETL  Technical solution development  Azure data solutions  Data insight provision  Technical guidance  IT Architecture  Technical solutions  Big data frameworks Technical Skills: Hortonworks2.5, Cloudera5/6, Apache Hadoop2/3 ,Spark2/3,Apache Kafka, Confluent Kafka, Hive 2/3, Impala, Sqoop, OOZie, Zookeeper, Snowflake, Data Build tool (DBT), HBase, Apache Cassandra /DataStax Cassandra, Data Bricks, Azure Cloud, AWS cloud, Talend, Airflow etc. Programming Language Python , Scala & Java Other Tools Kibana, Logstash, ElasticSearch, ELK. ============================= PROJECT UNDERTAKEN: Project: Implementation of Data Warehouse and reporting platform Roles: Databricks Architect & Engineer Teams: 12 members Technical Skills: Azure Cloud, Azure Data Factory (ADF), ADLS, Databricks, Spark3.x, Python, Scala2.15, DB2, Oracle 12g, Azure SQL My Contribution Data Bricks Infrastructure Solution: - Configured Unified Data Access Control using Unity Catalog – E1 & BY System provide a specific set of permissions, like Read Only, or, Write Only to a specific Group of Users on one, or, some of the Delta Tables, or, even at the Row Level, or, Column Level, which can contain Personally Identifiable Information, i.e., PII, of that Delta Tables - Provide Data Governance with centralized place: administer (TAI) the access to the data, and, also audit the access to the data. - Applied Data lineage for E1 & BY tables with look-up tables using Unity Catalog. - Implemented Data sharing protocol to apply secure data sharing downstream using Unity Catalog and - Design Architecture of Unity Catalog which can be linked to multiple Databricks Workspaces- DEV, UAT, PROD environment. - Created Metastore for the Unity Catalog - Apply User Management of the Unity Catalog for the TAI Lakehouse project: Users, Groups, or, the Service Principle, and, the permissions those have - Configure Data Bricks Cluste with spark 3.x for DEV, UAT & PROD for TAI -E1 & BY System. - Design & apply medallion architecture, Setup a Data Lake house with Bronze, Silver and Gold layers of a storage system using Azure Data Lake Gen2. Azure Cloud Infra and Security: - Install self-hosted integration runtime for the DB2 ON DEV, UAT & PROD and Oracle on-prem cluster on the source system. - Install Azure Virtual network managed IR On DEV, UAT & PROD. - Installed Db2 connector on DEV, UAT & PROD. - Created linked service lnk_BY_Azure_SQL, lnk_E1_Azure_SQL, lnk_Db2_E1 - Install and Configure Azure Key-Vault, added all the credential for Azure SQL, ADLS, Databricks, Users, global users, linked service to Azure Key Vault. – DEV, UAT & PROD. - Created 3 nodes for DEV and 5 nodes for PROD cluster to migrate data. - Setup and configure Azure Active Directory to provide team access policy for Databricks cluster, Azure Data Factory, Azure SQL, Azure Data Lake house. - Coordinate with TAI Client and Microsoft support team to resolve throughput issues. As Azure & Databricks Data Engineer: - developed most critical data ingestion pipelines using Azure Data Factory (ADF) for E1 to migrate 12.8TB of 120 tables from Db2 to ADLS RAW as a parquet file. There are many large tables with 2-4 TB of volume data containing 400 to 800 million records. - Initial & Incremental migration pipelines for both the E1 and BY sources with a watermark based on Julian's date & time - Design Audit table (Process log) and Control table (System) to achieve dynamic pipeline and audit information for master and child pipeline. - Design architecture solution to achieve delete for PKSNAPSHOT – E1 & BY. - Build dynamic delete pipeline using ADF (load PKTBL), Databricks PySpark for Daily, Weekly, OnDemand, and Yearly frequency to delete records from target (Analytics layer – gold layer) based on source system delete column and delete table - Build transformation using Datarbicks Spark with Scala for E1 to - Apply a transformation with a lookup table and transform to the Silver layer. - Build transformation to transform on Analytics layer (Gold) using Databricks Spark & scala. - Implemented UPSERT using Spark Structure Streaming with 5 minutes on the Analytics layer - Design pipeline architecture for master pipeline, child pipeline with different activity ID, Pipeline ID, Master pipeline ID with different pipeline Run ID to make sure for smooth transition audit. - Build logic, developed using Pyspark on Datarbicks – applied on DEV, UAT & PROD to check counter – master pipeline IN PROGRESS - or NOT so that pipeline execution should not overlap. - Pass pipeline parameter to insert or update Audit/Control table using Databricks -Pyspark. - Monitor Performance in DEV & PROD, worked with the team to reduce time. - Milestone – to achieve 10-minute SLA for Incremental load on E1 & BY (end-to-end completion time) - Milestone – achieved 1.53.45hrs to load (400millions record with2.3TB) at RAW as parquet file using ADF pipeline - Interact with Azure Devos’s engineer to build a CICD pipeline for DEV, UAT & PROD with - Develop pipeline as POC using Databricks Workflow, compare the cost with Azure Pipeline, and present to the client. My Contribution to Past Project: Project: Data Exchange (Security Framework) Roles: Technical Lead & Architect – Confluent KStream & KSQL Client: Fidelity & Westpac Team: 9 members Technical Skills: AzureDevops, Jdk 19.0, Confluent Kafka, Kstream, KSQL, Azure Databricks, DBFS, Delta lake, Azure Data Factory, ADLSGen2, Confluent Schema Registry, AES Algorithm, Hash Algorithm, Kubernetes Cluster(AKS).

Introtallent is a leading EdTech company, offering Live Online Data Science and Data Analytics Training for students and professionals across India. Learn directly from industry experts through 100% live interactive sessions covering Python, Power BI, SQL, Machine Learning, and AI. Our job-ready curriculum, real-time projects, and personalized mentorship help learners build successful data careers. Courses: * Business Analytics and Data Science Certificate Program * Data Analytics Certificate Program * Data Science with Python * Tableau * Power BI * Excel * VBA Macros * Generative AI

I teach Data Science in a clear and practical way, focusing on real-world understanding. I help students learn step by step, starting from the basics and progressing to advanced concepts. Python: I teach Python for data analysis, covering data cleaning, analysis, and visualization using real datasets. Machine Learning: I explain ML concepts in an easy way and show how to build models for prediction and classification using hands-on examples. Artificial Intelligence: I introduce AI concepts with practical use cases, helping students understand how AI is used in real applications. My teaching is hands-on, structured, and beginner-friendly, making complex topics easy to understand and apply.

I conduct Full-Stack Data Science training with Python. The first key learning areas are Statistics, Databases, Data Analytics, Data cleaning and preprocessing, Exploratory data analysis (EDA) etc. It is then followed with Machine Learning Algorithms, Deep Learning and Machine Learning Model Deployment (MLOps). The data science course is completely hands-on with 11 projects and 1 capstone project.

IIT Madras alumnus founds Skillcone, and industry professionals are focusing on technology training & consulting. We currently train in Angular 2, 4 & 6, Artificial Intelligence, Machine Learning, MEAN Stack, Robotics, Virtual Reality, Blockchain, Spring & Hibernate, JavaScript, NodeJS, Modern Web Development, Java J2EE, Testing, Python, UI and related technologies. We have trained over 10,000+ people, and have previously conducted workshops, and training programs for corporate, colleges, and fishers alike. IIT alumnus creates our courses, and industry professionals - so you are going to be getting the latest, and most current concepts in the course. We don't believe in blackboard/presentation based learning, and we train you to code. Our coding vs learning methodology and real-time coding based classes are what sets apart. Our training sessions are completely hands-on, and project-based right from the start. If you are looking to learn a technology and start working at the industry level, do join us. The training is done on live projects for you to get complete working knowledge of technology.

Why choose us? ? Indepth and practical learning ? Best in industry and full-time trainers ? Online practice portal and self-evaluation ? Projects to match industry demands ? Certification and placement support ? Convenience of classroom, online or virtual learning Data Science Syllabus 1. Data Science Overview • Introduction to Data Science • Different Sectors Using Data Science • Purpose and Components of Python • Key Takeaways 2. Data Analytics Overview • Data Analytics Process • Knowledge Check • Exploratory Data Analysis(EDA) • EDA-Quantitative Technique • EDA Graphical Technique • Data Analytics Conclusion or Predictions • Data Analytics Communication • Data Types for Plotting • Data Types and Plotting 3. Statistical Analysis and Business Applications • Introduction to Statistics • Statistical and Non-statistical Analysis • Major Categories of Statistics • Statistical Analysis Considerations • Population and Sample • Statistical Analysis Process • Data Distribution • Dispersion • Knowledge Check • Histogram • Knowledge Check • Testing • Knowledge Check (MCQ’S) • Correlation and Inferential Statistics 4. Mathematical Computing with Python (Numpy) • Introduction to Numpy • Activity- Sequence it Right • Demo 01-Creating and Printing an ndarray • Knowledge Check • Class and Attributes of ndarray • Basic Operations • Activity-Slice It! • Copy and Views • Mathematical Functions of Numpy • Code based Assignment as Homework. 5. Scientific Computing with Python (Scipy) • Introduction to SciPy • SciPy Sub Package - Integration and Optimization • Knowledge Check • SciPy sub package • Demo - Calculate Eigen values and Eigenvector • Knowledge Check • SciPy Sub Package - Statistics, Weave and IO 6. Data Manipulation with Pandas • Introduction to Pandas • Knowledge Check • Understanding DataFrame • View and Select Data Demo • Missing Values • Data Operations • Knowledge Check • File Read and Write Support • Activity- Sequence it Right • Pandas Sql Operation 7. Machine Learning with Scikit–Learn • Machine Learning Approach • How it Works • Supervised Learning Model Considerations • Knowledge Check • Scikit-Learn • Knowledge Check • Supervised Learning Models • Unsupervised Learning Models • Pipeline • Model Persistence and Evaluation • Knowledge Check 8. Data Visualization in Python using Matplotlib • Introduction to Data Visualization • Knowledge Check • Line Properties • (x,y) Plot and Subplots • Knowledge Check • Types of Plots • Knowledge Check (MCQ’S) 9. Web Scraping • Understanding and Searching the Tree • Navigating options • Demo Navigating a Tree • Knowledge Check • Modifying the Tree • Parsing and Printing the Document • Choose a project 10. Python Integration with Big Data Science • Why Big Data Solutions are Provided for Python • Hadoop: Core Components • Python Integration with HDFS • Demo 1 - Using Hadoop Streaming for Calculating Word Count 11. Course Recap and Two Industry based Projects • Summarize the entire course concepts • Concepts to be re-visited based on learner feedback • Recap of the entire session • Finish the test to get certified

I'm currently employed as a Data Engineer in SocieteGenerale, Bangalore.I mainly work on multi GB's of data per day basis,Having experience in real time on machine learning algorithms like Random Forests,Decision Trees, SVM etc.

PROFESSIONAL SUMMARY Principal Data Architect, Data Scientist, AI leader with 20 years of experience in designing and governing enterprise-scale data platforms across Azure and Snowflake ecosystems. Expert in translating business requirements into conceptual, logical, and physical data models using Data Vault modelling, enabling scalable data lake and data warehouse solutions. Proven ability to define enterprise data strategies, architecture principles, and governance frameworks, ensuring high data quality, security, and compliance. Strong track record in leading cross-functional teams, driving innovation through proof of concepts (PoCs), and enabling modern data platforms with optimized data ingestion, transformation, and consumption patterns. Technical Skills -  Dimensional (star schema) & Data Vault Modelling  Enterprise Data Architecture & Strategy  Data Lake & Data Warehouse Modelling (Delta Lake, Snowflake)  Source-to-Target Mapping (STM) & Data Dictionary  Data Profiling & Data Quality Frameworks  Metadata Management & Data Lineage  Medallion Architecture ( Bronze, Silver and Gold Layers)  Data Governance & Compliance  Data Ingestion Design & Optimization  Azure Synapse, Data Factory, Databricks  Stakeholder Collaboration (Business Owners, Data Owners, Architects)  PoC Development & Innovation Initiatives  Train and build the Team - Leadership

I am a working professional at Data Science and IoT based company. I am taking online classes and writing books on Data Science which I will be publishing in 2021. I have completed my MTech master degree in Data Science and IoT Domain by getting good academic success at PES University. My keys skills are Python, Machine Learning, Deep Learning, Data Science and IoT.

Having 10 years of IT experience and proficient in deep learning and machine learning and having good knowledge in Bigdata that includes analysis, Requirement , design and execution of using Python and Microsoft technologies.