Designation & Organization Program Architect / Program Manager – Data Analytics & Data Science
Short Bio Ganesh Nethi Paleti is a Program Architect and Data Analytics professional with diverse experience across analytics, operations, and program management in India and the UK. With a strong background in data science and digital program execution, he has worked across industries including gaming, tech, and EdTech. He is known for simplifying complex problems, optimizing processes, and driving large-scale learner and customer success through structured, outcome-driven approaches.
Key Achievements Currently leading Data Analytics & Data Science programs at Adda247, driving curriculum and program delivery Managed cross-functional teams in the UK (Flutter & Entain), improving operational efficiency and customer experience Worked as a Data Science Mentor, guiding learners in real-world analytics and machine learning applications Transitioned across roles from Data Scientist to Program Leadership, showcasing strong career growth Co-founded and operated an e-commerce startup (Crazyklik), handling operations and business execution Delivered measurable outcomes in analytics, customer success, and process optimization across multiple domains"
Area of Expertise Data Analytics & Data Science Program Management & Curriculum Design Operations & Process Optimization Team Leadership & Stakeholder Management E-commerce & Customer Experience Machine Learning Fundamentals Digital Program Execution (EdTech) Social Media & Marketing Basics"
Nitish Galat:
Designation & Organization Business Intelligence Analyst | AI Analyst | GenAI Trainer
Short Bio Nitish Galat is a Business Intelligence Analyst at PredictX, London, with over 5 years of experience in data analytics, supply chain, and travel analytics. He specializes in building end-to-end data pipelines, automating workflows, and developing impactful dashboards using tools like Python, SQL, Airflow, and Power BI. Alongside his corporate role, he is also a GenAI trainer, actively mentoring learners in data science, AI, and machine learning while working on AI-driven analytics and automation solutions.
Key Achievements Migrated data workflows from KNIME to Airflow, improving operational efficiency and reducing manual effort by 10% Led the integration of 20+ client-driven features, enhancing product usability and customer satisfaction Delivered analytics solutions on travel spend, CO₂ emissions, and supplier performance for global clients Contributed to ERP optimization and spend analytics across multiple industries (oil & gas, steel, procurement) Built automated ETL pipelines and reporting systems improving data accuracy and decision-making Designed AI-powered prototypes using NLP, LangChain, and LLM-based automation Trained multiple learners in Data Science, AI, and analytics, focusing on real-world applications"
Area of Expertise Data Analytics & Business Intelligence Data Engineering (Airflow, SSIS, SQL Server) Data Visualization (Power BI, Excel) Programming (Python – Pandas, NumPy, Scikit-learn) Cloud & Tools (Azure, GCP, Git) AI & Generative AI (NLP, LangChain, LLMs, Agentic AI) ETL & Data Pipeline Automation Supply Chain & Travel Analytics Dashboarding & Reporting Automation"
I joined Career247’s Data Science with Generative AI program to transform my career—and it’s been a game-changer. From mastering Python, SQL, and analytics to building real AI projects, every lesson pushed me forward with clarity and confidence.
Jubi Borah
This data science program has been a transformative learning experience for me. The course covered everything from Python fundamentals to analytical thinking in a well-organized manner. What I liked most was the practical approach every concept
Diksha Jeena
It is a good experience i learn a new things from this program how data is working in real life n what techniques we use for the visualisation
Ayush Manral
I am upskilling my career in data science program where I worked on cleaning data, analyzing it, building machine learning models, and evaluating their performance using Python and libraries like Pandas, NumPy, and Scikit-learn.
Atul Pal
I’m currently on the final phase of the “Data Science & Machine Learning with Gen AI” course from Career247, and the journey so far has been highly rewarding. The curriculum has been well-structured, covering Python, SQL, machine learning and emergin
ANKIT JAIN
I am satisfied with this course, and the faculty teaches very well. Ma’am explains the concepts clearly and makes sure everyone understands them. During the doubt sessions, everyone gets enough time to get their problems solved properly.This course h
NITISH KUMAR
I recently attended a Data Science class and found it very interesting and informative. The instructor explained complex topics like Python, statistics, and machine learning in a simple and practical way. The sessions were well-structured and focused
Arjun kumar
I am very happy with the Data Science training at Career 247. The trainers explain every topic clearly and make complex concepts easy to understand. I learned Python, SQL, and machine learning with practical examples.
Mohesh pegu
My experience with the program has been very rewarding. As someone learning programming fundamentals, especially Python, the lessons were clearly structured and easy to follow, allowing steady progress from basic syntax to more complex concepts
पल्लवी सिंह
Actually statistics is not my domain it’s too tough for me learn with pressuring mca from Igñou where I have to complete assignments and papers before deadline also but it’s very challenging for me also Simran mam make it very easy
Mohit Kumar Taluja
I joined Career247’s Data Science with Generative AI program to transform my career—and it’s been a game-changer. From mastering Python, SQL, and analytics to building real AI projects, every lesson pushed me forward with clarity and confidence.
Jubi Borah
This data science program has been a transformative learning experience for me. The course covered everything from Python fundamentals to analytical thinking in a well-organized manner. What I liked most was the practical approach every concept
Diksha Jeena
It is a good experience i learn a new things from this program how data is working in real life n what techniques we use for the visualisation
Ayush Manral
I am upskilling my career in data science program where I worked on cleaning data, analyzing it, building machine learning models, and evaluating their performance using Python and libraries like Pandas, NumPy, and Scikit-learn.