Bangkit Motivates Me to Consistently Achieve My Goals




People say that being consistent in pursuing goals is rather difficult. Christell James Cellose (22) used to believe it once, until he met Bangkit and committed to improve himself. How is that? He envisions himself to be a reliable tech talent through this program. His journey proves that he could progress in any given situation, no matter how small.

Joining Bangkit as The First Step to Learn Machine Learning

James (22) is an end-year student of Institut Teknologi Harapan Bangsa majoring in Information Systems, a field that he perceives as essential to drive interaction among people, processes, and technology. Entering the 3rd year of his university study, he chose to learn Machine Learning since it relates to the implementation side of his study major.

Thanks to his supportive circle who recommended him to join Bangkit. Indeed, he didn’t think twice about going forward. The program's Day 1 “Opening Ceremony” already gave him a goosebump about the kind of valuable experience he would gain.

Company-Based Capstone Project is the Chance for Work Simulation




Upon joining Bangkit he realized it was difficult to master the teaching materials. However, in tackling any challenging queries, mentors have greatly helped well both personally and technically.

Having finished all the ILT sessions in Bangkit, James entered the new phase, which is the Company-Based Capstone Project. He highlighted that Idea Generation & MVP Planning and Startup Valuation soft skills have supported his role as a team leader a lot. James led the creative process, distributed the members' tasks, set their pace in doing the job, and tracked their progress.

His team participated in a Company-Based project under Traveloka Singapore's guidance. The team consists of participants from different learning paths, i.e.: four people from Machine Learning, three from Cloud Computing, and the rest three from Android Developers.

Together, they conducted a project called “Building Engine for Optimizing Hotel Ranking Based on Business Cases” that aims to utilize Machine Learning to present the most accurate recommendation. Their goal is to create a system that would keep a hotel competitive amidst its competitors. To achieve that purpose, the team employed regression analysis and algorithms to process the output. They focused on bringing out customized and dynamic insights for the company.

Among 19 selected teams, they were designated as the top 10 and got the chance to present the idea to stakeholders. For them it was a valuable chance to prove that they are capable and ready to implement their skills in a real-world situation.

Commitment and positivity are keys for the team to manage the to-do-list. “I’m grateful to run this project as my fellows have shown their best. We were also able to share constructive feedback to boost our performance. NextHotel was indeed our masterpiece application,” said James.

Bangkit for James: No Pain No Gain




During Bangkit he sent a cold email to human resources at Vision+ a multinational company in the entertainment industry which provides video-on-demand streaming platforms such as through mobile apps, web, and large-screen TVs. Fortunately, he was accepted!
“Bangkit provided me with a good environment that has made me a well-prepared person.”
Combining work, Bangkit and regular study at university, his life at that time was “a real roller coaster ride” according to him. In Bangkit he felt that the most challenging topics were ILT Tech 4 discussing “TensorFlow Developer through the Deep Learning model.”

Persistence and confidence are required to survive in Bangkit, he said. Let alone, he met competitive fellows who tried their best to complete the tasks. Such a competitive yet collaborative environment has motivated him to stay consistent and make progress one step at a time. After all the struggles he went through, James felt very excited that as a graduate he could finish what he had started in Bangkit.

James is Thankful to Pass the Certification and Work in a Multinational Company

James was so happy that he succeeded in the TensorFlow certification examination at the end of the Bangkit period. Initially, he had a concern about seriously taking test preparation for the best result. “Time section to answer the questions is fatiguing,” he said. But yet, he nailed it.

Reflecting on his journey when he was invited for a further interview in Vision+ to upscale his role from an intern to a full-timer, he received a good impression, highlighting his certification.
“The interviewers were impressed with my skills as verified by the Bangkit certifications, a set of credentials that prove myself as a capable talent. Moreover, specifically on competencies, HR also gave additional value to my data processing and deployment as well as my data-driven approach skills."
Although at that time his status was still a third-year student not yet graduating from university, it was not a problem at all for the company. As a result, James who was initially a Data Analyst intern got a promotion to a full-time employee with “Data Scientist” as his job title. He focuses on analyzing users' data to grasp the trend, thus drawing conclusions for future business plans.

In addition, as a newbie at work he also realized how important the professional English class obtained during Bangkit. It really helped him to present work-related data, a skill that distinguishes him from his fellow junior colleagues. s. Moreover, English has also been helpful for him to collaborate with any divisions and departments, even since the company-based capstone project period.
“Bangkit boosts my self-development in career, personality, and soft skills,” said James.

James’ Notes for the Next Bangkit Cohort

For the next Bangkit Cohort, James has three things to share, namely:

#1 Prior to Solving Problems, check the Tool’s Feasibility Factor First

Only a certain number of things in daily life that requires Artificial Intelligence or Machine Learning as problems solvers. Before planning to use AI tools or aspects such as ML, check first on the feasibility. Is it feasible? Is it necessary to use AI? Prior to the production stage, such a careful planning is a must.

#2 Stay Active

Staying active could stimulate you to be a reliable tech person. By being active, you’ll explore your potential, thus having the confidence to collaborate and innovate.

#3 Consistency is a Must

No matter how hard the process is, consistency is a must. Keep your eyes on your goals so that you remain consistent at all times. Small progress is better than pursuing perfection.

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