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AI Engineer with less than a year in Machine Learning & Data Analysis
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Equipped with a strong foundation in CSE and Artificial Intelligence, utilizing Python, SQL, and business intelligence tools to extract actionable insights and support strategic organizational decisions. Ready to apply robust Machine Learning and Data Analysis principles to tackle complex analytical challenges and foster innovation in fast-paced environments. Eager to leverage a technical background in AI/CSE to contribute to data analytics teams, driving efficiency and impactful outcomes through advanced data modeling.
SAGE University Bhopal
B.Tech
August 1, 2022 – June 30, 2026
Datanova
AI Engineer Intern
November 1, 2025 – March 1, 2026
India
Samatrix Pvt Ltd
Data Analytics Intern
June 1, 2025 – November 1, 2025
India
Drug Efficacy And Adverse Event Analysis
June 29, 2026 – Present
• Description: Designed and implemented an end-to-end data analysis pipeline to evaluate clinical trial performance for 300+ patient records. • Role: Developed a synthetic data generator using NumPy to model weighted probability distributions for drug efficacy and side-effect profiles. • Impact: Performed statistical analysis using Pandas to calculate mean efficacy scores and adverse event frequencies, identifying key safety trends. • Created publication-quality visualizations (box plots, bar charts) using Seaborn and Matplotlib to communicate findings on drug safety and effectiveness.
Urban Smart Energy Grid Analytics
June 29, 2026 – Present
• Model Performance: Developed a deep learning framework using LSTMs/Transformers, achieving a 94% accuracy rate in multi-step load forecasting. • Big Data Processing: Engineered automated pipelines in Python (Pandas/ NumPy) to process and feature-engineer 1M+ rows of high-frequency smart meter data. • Predictive Analytics: Implemented Isolation Forest algorithms to identify 15% more power consumption anomalies and potential energy theft incidents. • System Deployment: Built a real-time monitoring dashboard using Streamlit to provide utility providers with actionable peak-load alerts and trends.
Business Intelligence & Analytics
NPTEL
June 1, 2026 – Present
Data Analytics With Python
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experiences show a strong focus on data analysis, machine learning, and AI, which aligns well with an AI Engineer role. The diversity of projects (drug efficacy, smart energy grids) indicates adaptability and a broad interest in applying AI to different domains. However, the experience is primarily academic and internship-based, suggesting a need for further development in a professional, fast-paced environment.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking and problem-solving skills through project descriptions. Their experience in collaborating on ML model design and optimization suggests an ability to work within a team. The project descriptions are clear and structured, indicating good communication of technical work.