Data Science with less than a year in Machine Learning & Data Analysis
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Highly motivated and results-driven individual with 11 months of experience in machine learning and data analysis. Proficient in Python, SQL, and R, with expertise in data cleaning, visualization, and building predictive models. Experienced in leveraging libraries like Pandas, NumPy, and Scikit-Learn to extract actionable insights and develop AI-powered solutions.
Guru Gobind Singh Indraprastha University (GGSIPU)
Bachelor of Technology · Artificial Intelligence & Machine Learning
December 1, 2022 – July 1, 2026
TITIKSHA PUBLIC SCHOOL
12th
September 1, 2020 – June 1, 2022
Amazon Summer School
Machine Learning Trainee
July 1, 2025 – August 1, 2025
India
CodSoft
Data Science Intern
August 1, 2024 – September 1, 2024
India
Insightful AI Strategies
Machine Learning Intern
July 1, 2024 – August 1, 2024
India
ResumeIQ - AI-Driven Resume Analysis and Skill Gap Detection
January 1, 2026 – May 1, 2026
Developed an AI-powered resume screening web application using Python, Streamlit, NLP, TF-IDF, and Cosine Similarity. Implemented ATS score checking, skill gap detection, keyword extraction, and resume-job matching features. Built secure user authentication and an interactive dashboard for resume insights and analytics. Generated personalized resume suggestions, job recommendations, and AI-based interview questions.
View ProjectMovie OTT Platform Analysis
August 1, 2025 – November 1, 2025
Analysed OTT movie datasets to identify genre trends, popularity patterns, ratings, and release statistics. Performed data cleaning, SQL-based preprocessing, exploratory data analysis (EDA), and visualization using Python and Pandas. Created charts and visual reports to analyse genre distribution and year-wise release trends. Derived actionable insights to support content analysis and strategic decision-making.
View ProjectHealthInsight – Disease Outbreak Detection System
July 1, 2025 – August 1, 2025
Developed a healthcare analytics system to detect disease outbreaks using hospital admission data. Applied statistical techniques to identify unusual spikes in disease cases and generate outbreak alerts. Performed data preprocessing, trend analysis, and visualization of disease patterns over time. Created analytical reports and graphs to support early healthcare decision-making and preparedness.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate an interest in diverse applications of data science, from resume analysis to movie analytics and healthcare. This breadth suggests adaptability and a willingness to explore different domains. The personal projects indicate initiative and self-driven learning, which are positive cultural fit indicators. However, the lack of team-based projects beyond general collaboration statements in internships means the extent of their collaborative cultural fit is not deeply evidenced.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, teamwork, analytical thinking, and time management as soft skills. Project descriptions indicate collaboration and report generation, suggesting a foundational operational fit. However, the short duration of internships (1 month each) limits the depth of experience in a continuous operational environment.