Good evening! It's great to hear about your dedication to advancing your skills in data science, and your proactive approach is commendable. You're already on a good path by exploring foundational courses like IBM's statistics and data science series, and CS50's Python course. These are solid resources, and there are several more you might consider to further deepen your expertise:

1. MIT OpenCourseWare: Free courses from MIT on a variety of subjects, including data science and machine learning.

2. DataCamp: Focused on data science and analytics, offering hands-on learning with immediate feedback.

3. Udacity:Known for its "Nanodegree" programs in data science, AI, and programming, which are project-based and designed in collaboration with industry leaders.

Regarding your decision about pursuing an MTech or preparing for the GATE, this largely depends on your career aspirations. If you are aiming for roles in research or highly technical fields, or if you want to ensure higher credibility and potentially better job opportunities, an MTech could be beneficial. However, if you're keen to enter the industry quickly, focusing on practical skills and building a strong portfolio through projects and internships might be enough.

As for the impact of AI on data science, while AI does automate some aspects of data analysis, the role of a data scientist is evolving rather than diminishing. There's a growing need for professionals who can interpret AI outputs and integrate them into strategic decision-making.

Regarding the hiring of freshers in data science, it is competitive, but not impossible. Employers do look for candidates who can demonstrate practical application of their skills through projects, internships, and their understanding of the industry. Freshers who show they can handle real-world data and have a robust portfolio often find good opportunities.

If you're looking for more personalized guidance and a structured learning path from scratch to advanced levels, seeking mentorship can be highly beneficial. I can assist you in mapping out your learning journey, refining your projects, preparing for interviews, and even navigating the job market. This kind of one-on-one support can help you tailor your learning to your specific goals and accelerate your progress in becoming a skilled data scientist.

Remember, the field of data science is vast and constantly evolving, so continuous learning and adaptation are key. Keep up the great work, and don't hesitate to reach out if you think a mentoring relationship could help you achieve your goals.

Sure I can help you to crack top product based mnc companies in data engineering role & interview preparation

Connect with me on https://www.linkedin.com/in/nishchay-agrawal-157404170/ & book free trial session on https://www.preplaced.in/profile/nishchay-agrawal

Experienced Big Data Engineer with a proven track record in the information technology and services industry. As a strong engineering professional holding a B.Tech in Computer Science and Engineering, and a certificate for being the University Topper in B.Tech Computer Science & Engineering from 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐓𝐨𝐩𝐩𝐞𝐫 𝐢𝐧 𝐁.𝐭𝐞𝐜𝐡 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐔𝐭𝐭𝐚𝐫𝐚𝐤𝐡𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 ❤️, I am dedicated to sharing my journey and insights in the field of data engineering.

Additionally, I share insights about my journey of inclusion and data engineering responsibilities in the industry, along with how to crack Top Product Based companies, data engineering roadmap, mock interviews, and more on my LinkedIn & and Topmate. I thoroughly enjoy this rewarding journey.

1. 𝐒𝐡𝐚𝐫𝐢𝐧𝐠 𝐑𝐨𝐚𝐝𝐦𝐚𝐩

I will make sure you don't get lost on the internet and waste time searching for resources for data engineering. I will provide a step-by-step roadmap to achieve your goals

2. 𝐒𝐡𝐚𝐫𝐢𝐧𝐠 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬

I will share relevant resources, blogs, and videos on data engineering with crash courses & and free material that help me crack top product-based companies' FAANG

3. 𝐓𝐢𝐦𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭

Over the years, I have used various time management metrics for self-learning along with company-related work. If time management is your struggle, you are at the right place.

4. 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐩𝐫𝐨𝐟𝐢𝐥𝐞 𝐛𝐨𝐨𝐬𝐭

I have cracked top product-based companies through LinkedIn and I will help you achieve the same

5. 𝐇𝐚𝐧𝐝𝐬-𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬

Launching projects on your CV based on data engineering related? If so, I will help you do amazing projects under me that grow your knowledge & skills

6. 𝐏𝐫𝐨𝐯𝐢𝐝𝐞 𝐌𝐨𝐜𝐤 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞

I will help you by conducting mock interviews, interview preparation, resource sharing, learning, regular connects every week in long term mentorship based on DSA, SQL, Python, Data Modeling, Big Data, Database, Datawarehouse, ETL, Data Pipeline, AWS, Azure, GCP, Spark, Pyspark, Hadoop., HDFS, Hive, Sqoop, MapReduce, Kafka, Streaming, System Design, CI/CD, Devops, Docker, Kubernetes, Databricks, Snowflake, Airflow, DBT, Presto, Jenkins, Agile, Scrum, Coding etc. to make sure you are ready for dream interviews

Apart from these, I will help you in various directions to grow your career in data engineering

𝐋𝐞𝐭'𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭, 𝐥𝐞𝐚𝐫𝐧, 𝐚𝐧𝐝 𝐠𝐫𝐨𝐰 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫 🤝 !