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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI / ML Engineer | Data Scientist | Petroleum Engineer | Data Analysis |Power BI Developer |Python Enthusiast
I'm a Petroleum Engineer turned Data Science enthusiast with a passion for leveraging data-driven insights to optimize processes and drive innovation. My background in engineering, combined with strong analytical skills, has fueled my transition into the world of data science, where I excel in transforming raw data into actionable insights. I am proficient in Python, SQL, and data analysis tools like Pandas, NumPy, and Advanced Excel. My expertise includes data preprocessing, feature engineering, and exploratory data analysis (EDA). Additionally, I am skilled in using Power BI and Tableau for visualization, as well as applying statistical techniques, linear algebra, and machine learning algorithms for predictive modeling and problem-solving. I specialize in time series forecasting, recommendation systems, and deep learning models such as ANN, CNN, and RNN. With hands-on experience in NLP, model training, and deployment via AWS, I am eager to continue driving impactful results by implementing scalable data solutions across industries.
Brototype
Data science
September 1, 2023 – August 1, 2024
Anna University Chennai
Bachelor of Technology - BTech, Petroleum Engineering
July 1, 2019 – June 1, 2023
Dignizant Technologies LLP
AI/ML Engineer
January 1, 2025 – Present
Gujrat, India · On-site
Freelance
Power BI Developer
January 1, 2024 – Present
Kozhikode, Kerala, India · Remote
Anna University Chennai
Project
March 1, 2023 – May 1, 2023
Chennai, Tamil Nadu, India · On-site
Educave Training Academy
Internship Trainee
August 1, 2022 – September 1, 2022
Pune District, Maharashtra, India · Remote
Rig Tech
Petroleum Engineer
May 1, 2021 – June 1, 2021
Coimbatore, Tamil Nadu, India · On-site
Oil production forecasting with QA chatbot
July 1, 2024 – August 1, 2024
This project integrates advanced data science techniques to address two critical needs in the petroleum industry: accurate oil production forecasting and an intelligent QA chatbot for technical support. Live site : https://forecast-chatbot.streamlit.app/
Cultural Fit Analysis
The candidate's background is diverse, spanning petroleum engineering, data science, and AI/ML. The 'Oil production forecasting with QA chatbot' project aligns well with an ML Engineer role. However, the overall experience is heavily weighted towards petroleum engineering and Power BI, which may require a significant pivot for a pure ML Engineer role. The 'Freelance Power BI Developer' role and the 'Manufacture of Ethanol from Coconut Fiber' project demonstrate initiative and problem-solving, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex problems and integrate different technologies. The 'Manufacture of Ethanol from Coconut Fiber' project indicates research and collaboration skills. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.