I’m Siddharth and I have completed Bachelor of Engineering in Biotechnology from the The Oxford college of Engineering, Bengaluru, Karnataka. Currently pursuing PGP in Data science and business analytics by having work experience for almost 2.6yrs in healthcare domain and 1yr of experience in Bioinformatics domain and has now joined Bayer Crop Science as a Data analyst.
Regarding the organization, Bayer Crop Science is a renowned multinational company in the field of agriculture and crop science. It is known for its innovative solutions and contributions to sustainable farming practices. Joining Bayer has been an exciting opportunity for me to apply my data science skills in the agriculture sector and contribute to solving real-world challenges in crop production and sustainability.
My interests are in the realm of data science, and I also have a penchant for programming. I enjoy playing chess, cricket and traveling.
I was working as a molecular and Bioinformatics Research associate in Mapmygenome India Pvt Ltd
I decided to join the Great Learning program because I was motivated to make a career transition into the field of data science. After conducting thorough research, I found that Great Learning offered one of the best Post Graduate Programs in data science domain. The program provided comprehensive training and practical knowledge in data science, which was crucial for me to acquire the skills and expertise needed for a successful career in this field.
My experience with Great Learning was highly rewarding. The program provided me with a comprehensive understanding of various data analytics and business problem-solving skill sets, including Python, R, Machine Learning, and Tableau. The curriculum was well-structured and covered both theoretical concepts and practical applications. The faculty members were knowledgeable and experienced, and their guidance was instrumental in enhancing my understanding of the subjects.
The program has had a significant impact on both my professional and personal life. Professionally, it has enabled me to successfully transition into the field of data science. The knowledge and skills I acquired through the program have equipped me to handle complex data analysis tasks, build predictive models, and derive meaningful insights to drive business decisions. As a result, I have been able to secure relevant job opportunities and advance my career in this domain.
After completing the Great Learning program, I made a successful transition to Bayer Crop Science as a Data Analyst. Great Learning played a significant role in helping me secure this position. The program equipped me with the necessary knowledge and skills in data science and business analytics, which were highly valued by Bayer during the recruitment process.
In terms of the hike, I received a 35% increase in salary upon joining Bayer Crop Science. This significant boost in compensation reflects the value and demand for data science professionals in the industry, and Great Learning’s program played a crucial role in helping me achieve this milestone.
For individuals who have just started to learn data science and business analytics, here are a few pieces of advice:
- Focus on the fundamentals: Build a strong foundation in statistics, mathematics, and programming languages like Python or R. Understanding the core concepts will help you grasp advanced techniques more effectively.
- Practice, practice, practice: Data science is a hands-on field. Engage in coding exercises, work on real-world datasets, and participate in Kaggle competitions to apply your knowledge and gain practical experience.
- Embrace a multidisciplinary approach: Data science is an interdisciplinary field that combines statistics, mathematics, programming, and domain knowledge. Develop a curiosity for various domains and seek to understand how data science can solve problems in different industries.
