Anush Ravishankar
ML EngineerAnalyst (Engineer I) at BlackRock
BlackRock
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analyst (Engineer I) at BlackRock
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer and Backend Developer with 2+ years of experience in backend software development (Python/GoLang), building/maintaining real-time observability pipelines and historical data lake pipelines.
Manipal Institute of Technology
Bachelor of Technology - BTech, Data Science and Engineering
January 1, 2020 – January 1, 2024
Bishop Cotton Boys' School
Matriculation
June 1, 2006 – March 1, 2018
BlackRock
Analyst
June 1, 2024 – Present
On-site
BlackRock
Data Prod Engg Intern
January 1, 2024 – June 1, 2024
On-site
IHX
Data Science Intern
June 1, 2023 – July 1, 2023
Bengaluru, Karnataka, India · On-site
Golden Bird Education
Front-End Web Developer/Course Instructor
March 1, 2022 – January 1, 2023
Manipal, Udupi · On-site
Mastering Data Structures and Algorithms in C++
Udemy
June 25, 2026 – Present
Round 2 - Innovate India Coding Championship
Coding Ninjas
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily in data engineering and data science, which aligns with an ML Engineer role, especially in the data preparation and MLOps aspects. The projects demonstrate a focus on practical, impactful solutions. However, the lack of explicit ML model development or deployment experience might indicate a gap for a pure ML Engineer role. The breadth of skills is good for data engineering but needs expansion into core ML for a strong cultural fit as an ML Engineer.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving and efficiency improvement, suggesting a results-oriented approach. The ability to work on diverse projects (data catalog, pipeline migration, performance optimization) indicates adaptability. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.