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Data Science with 2+ years in Data Analysis & Problem-Solving
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech graduate in Computer Science and Engineering (Data Science) with a strong foundation in Python, Machine Learning, Data Analysis, and problem-solving. Passionate about leveraging data-driven insights to solve real-world challenges. Alongside technical education, dedicated two years to UPSC Civil Services preparation, developing exceptional analytical thinking, research capability, decision-making skills, discipline, and resilience. Seeking an opportunity to contribute technical expertise while continuously learning and growing.
DRK Institute of Science & Technology, Hyderabad
B.Tech · Computer Science & Engineering (Data Science)
August 1, 2020 – June 30, 2024
UPSC Civil Services Preparation
Civil Services Aspirant / Preparatory Candidate
January 1, 2024 – Present
India
Food Recipe Rating Prediction Using Machine Learning
January 1, 2024 – Present
Designed and developed a machine learning model to predict food recipe ratings based on recipe attributes and user feedback. Performed data collection, cleaning, preprocessing, and feature engineering. Utilized Python, NumPy, and Pandas for data manipulation and analysis. Conducted exploratory data analysis to identify meaningful patterns and trends. Applied machine learning algorithms and evaluated model performance. Generated insights to improve prediction accuracy and decision-making.
Cultural Fit Analysis
The candidate's background, including a B.Tech in Computer Science & Engineering (Data Science) and dedicated UPSC preparation, suggests a strong drive for continuous learning and intellectual rigor. Their academic project demonstrates an interest in applying data science to real-world problems. The UPSC experience, while not directly technical, indicates resilience, structured thinking, and a broad understanding of complex subjects, which can contribute positively to a culture valuing deep analysis and problem-solving. However, the lack of diverse project experience beyond one academic project and no professional data science roles limits the assessment of their fit within a fast-paced, industry-specific data science environment.
Soft Skills & Operational Fit
The candidate exhibits strong soft skills such as analytical thinking, critical thinking, problem-solving, time management, and self-discipline, largely developed during their UPSC preparation. These skills are highly valuable for a data science role, indicating a structured approach to complex problems and independent learning capability. The candidate also highlights adaptability, team collaboration, and attention to detail, which are crucial for operational fit within a data-driven team.