About
Innovative and results-driven AI-ML Engineer with hands-on experience in data analysis, data science workflows, machine learning algorithms, and statistical modeling. Adept at transforming raw data into actionable insights using advanced analytical techniques. Proficient in Python programming, with expertise in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and Matplotlib for data processing, model building, and evaluation. Skilled in creating interactive data visualizations and business dashboards using Power BI, enabling stakeholders to make informed decisions. Recognized for strong analytical thinking, strategic approach to problem-solving, and the ability to work across interdisciplinary teams to develop innovative solutions. Passionate about staying at the forefront of AI-ML technologies and contributing to impactful, data-driven decision-making in real-world applications.
Skills & Expertise (9)
Work Experience
Data Science Intern
Forbes Marshall Pvt. Ltd.
01-2025 - 07-2025
Vibration Data Analysis and Carbon Emission Footprint projects. Determined patterns and insights for operational efficiency by analyzing datasets. Assisted in developing predictive models using statistical techniques and tools. Supported the implementation of machine learning algorithms for process optimization. Developed interactive dashboards in Python using libraries like Plotly. Tested, validated and reformulated models to foster accurate prediction of outcomes. Evaluated model performance metrics such as accuracy, precision, recall, F1 score. Cleaned and manipulated raw data. Applied feature selection algorithms to predict potential outcomes. Followed industry innovations and emerging trends through scientific articles, conference papers or self-directed research. Conducted research on industry best practices and emerging data science technologies.
Data Science Intern
Forbes Marshall Pvt. Ltd.
01-2025 - 07-2025
Vibration Data Analysis and Carbon Emission Footprint projects. Determined patterns and insights for operational efficiency by analyzing datasets. Assisted in developing predictive models using statistical techniques and tools. Supported the implementation of machine learning algorithms for process optimization. Developed interactive dashboards in Python using libraries like Plotly. Tested, validated and reformulated models to foster accurate prediction of outcomes. Evaluated model performance metrics such as accuracy, precision, recall, F1 score. Cleaned and manipulated raw data. Applied feature selection algorithms to predict potential outcomes. Followed industry innovations and emerging trends through scientific articles, conference papers or self-directed research. Conducted research on industry best practices and emerging data science technologies.
Education
Bachelor of Technology
2022 - 2025 · India
High School Diploma
2019 - 2022 · India
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Open to Relocation