IIT Kharagpur | Simple Energy | ESDS Software Solution
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Assessing your cultural and operational fit
Innovative Data Scientist with hands-on experience in designing and implementing data-driven solutions
Indian Institute of Technology, Kharagpur
Bachelor of Technology - BTech, Metallurgical and Materials Engineering
January 1, 2020 – January 1, 2024
Microland Limited
Software Developer
August 1, 2024 – Present
Bengaluru, Karnataka, India · On-site
Simple Energy
Data Scientist
May 1, 2023 – July 1, 2023
Bengaluru, Karnataka, India · On-site
ESDS Software Solution Limited
Python Engineer
November 1, 2022 – January 1, 2023
Nashik, Maharashtra, India · Remote
Dephosphorization Prediction
August 1, 2023 – Present
– Objective: To predict dephosphorization using amount of hot metal, oxygen & composition of oxides in slag • Calculated representative statistics and performed exploratory data analysis using Seaborn and Matplotlib • Utilized Pearson, Kendall Coefficient with Hierarchical Clustering for estimating the redundant dataset features • Performed Principal Component Analysis to obtain a new set of features, to be used for Regression analysis
Cultural Fit Analysis
The candidate's experience includes internships at 'Simple Energy' (Data Scientist) and 'ESDS Software Solution Limited' (Python Engineer), along with a personal project in 'Dephosphorization Prediction'. While these roles involve data science and engineering, the overall breadth of projects and technologies is somewhat limited for a senior ML Engineer role. The primary degree in Metallurgical and Materials Engineering, while demonstrating analytical capability, is not directly aligned with a typical ML Engineer background, which might require additional context for cultural fit within a pure software engineering team. The target role is ML Engineer, and the projects align with ML/Data Science, but the overall experience level (2) and lack of diverse, complex ML system design projects suggest a potential gap for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to define objectives, implement solutions, and achieve measurable improvements (e.g., 14% improvement on previous pipeline). The internship roles suggest a capacity for structured problem-solving and contributing to operational pipelines. However, specific soft skills like teamwork, leadership, or adaptability are not explicitly detailed in the provided data.