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Data Science with 1+ years in Machine Learning & AI.
A Data Science undergraduate with strong expertise in data analysis, statistical modeling, and machine learning. Proficient in Python, R, SQL, and Java, with hands-on experience in data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation. Experienced in managing relational and NoSQL databases, data warehousing, OLAP cubes, and ETL pipelines, delivering actionable insights through business intelligence and visualization tools such as Power BI and Matplotlib. Skilled in developing, training, and deploying machine learning and Large Language Model (LLM) applications, including Retrieval-Augmented Generation (RAG) systems, using modern frameworks and cloud platforms like AWS and Azure. Adept at collaborating with cross-functional teams to transform complex data into actionable business insights, and integrating scalable data solutions into full-stack applications using the MERN stack. Core strengths include Data Engineering, Predictive Analytics, Business Intelligence, Reinforcement Learning, Generative AI, Machine Learning, and Cloud Computing. Seeking opportunities to leverage technical expertise to solve challenging problems and support data-driven decision-making.
Cultural Fit Analysis
The candidate's involvement in extracurricular activities (IEEE Club, Leo Club, Senior Prefect) and participation in service projects indicates a proactive and collaborative mindset, which aligns well with a positive team culture. The breadth of skills and project diversity, including IoT, Big Data, AI/ML, and full-stack integration, suggests an openness to learning and contributing across various technical areas. The target role of Data Science aligns perfectly with the candidate's education, internship, and project focus.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, problem-solving, time management, communication, team collaboration, and adaptability. These soft skills are crucial for a senior data scientist role, indicating a potential for effective teamwork and project management. The diverse project experience suggests an ability to adapt to different problem domains and operational challenges.