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Data Science with less than a year in Market Research, Analytics & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven and highly curious postgraduate student with experience in market research, analytics, and consumer insights. Skilled in Excel, Tableau, SQL, and data visualization, with a strong ability to analyze trends, uncover actionable insights, and support business decision-making. Eager to contribute in a fast-paced environment through experimentation, continuous learning, and hands-on execution.
CHRIST (Deemed to be University)
M.Sc. · Data Analytics
August 1, 2026 – June 30, 2028
M.O.P. Vaishnav College for Women
B.Sc. · Data Science
August 1, 2023 – June 30, 2026
Bunjy Digital
Market Research Intern
April 1, 2025 – June 30, 2025
India
Image Engagement Score Prediction
June 1, 2026 – Present
Developed a machine learning model to predict image engagement scores using image features and engagement-related metadata. Performed data preprocessing, feature engineering, and model evaluation to improve prediction accuracy. Identified key factors influencing user engagement through exploratory data analysis and predictive modeling.
Carbon-Aware Agentic AI — Twin Transition Trade-Off Framework
January 1, 2026 – January 1, 2026
Engineered a multi-objective optimization model balancing AI performance, energy consumption, and carbon emissions across 3 competing objectives. Designed an agent-based decision system selecting sustainable execution strategies; published and presented at an international conference on green AI.
Gamification as a Strategic Marketing Tool for Gen Z
January 1, 2025 – January 1, 2025
Analyzed and modeled user engagement data using Python and SQL to identify factors influencing 30-day retention, applying statistical and predictive analytics techniques. Built Tableau visualizations revealing 23% higher engagement among Gen Z users exposed to streak-based mechanics; presented to 100+ industry professionals.
Carbon-Aware Agentic AI — Twin Transition Trade-Off Framework
ICCCMIT Conference 2026
January 1, 2026 – Present
Gamification as a Strategic Marketing Tool for Gen Z
Delhi School of Business Conference 2025
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse range of interests within data science, from marketing analytics to green AI, indicating a broad perspective and willingness to explore different domains. Their participation in conferences and leadership roles suggests a proactive and collaborative approach, which could contribute positively to team culture. The focus on data-driven decision-making and continuous learning aligns with a culture that values innovation and evidence-based strategies. However, the experience is primarily academic, and the candidate is still pursuing their Master's, which might require mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, communication, reporting, and adaptability skills through project descriptions and internship experience. Their involvement in leadership roles (Member of Parliament, Cultural Coordinator) suggests good interpersonal and organizational skills, which are beneficial for team collaboration and project management. The candidate's eagerness for continuous learning and hands-on execution aligns well with a dynamic operational environment.