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Product Manager with 2+ years in Data Analysis & Product Analytics.
Highly analytical and self-motivated Product Analyst with 2.2 years of experience in data-driven product optimization. Proficient in SQL, Python, and various analytics tools, with a proven track record in A/B testing, funnel analysis, and KPI tracking. Adept at transforming complex data into actionable insights to drive product growth and strategic decision-making, as demonstrated by contributions to user engagement, subscriber conversion, and revenue growth initiatives across major digital brands.
Kalinga Institute of Industrial Technology, Bhubaneswar
Bachelor of Technology · Computer Science and System Engineering
N/A – June 30, 2024
Condé Nast
Associate Product Analyst
April 1, 2024 – Present
India
Comparative Analysis of Machine Learning Models for Diabetes Prediction
June 8, 2026 – Present
Developed a machine learning project focused on predicting diabetes. The core task involved comparing and analyzing various machine learning models to achieve the prediction goal.
Breast cancer classification
June 8, 2026 – Present
Designed and implemented machine learning algorithms to classify breast tumors as malignant or benign, improving prediction accuracy and supporting early diagnosis.
COVID-19 Forecasting (India) using FBProphet
IEEE Publication
June 1, 2026 – Present
Top 3 Finalist, 2025 Condé Nast Hackathon
Condé Nast
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's profile shows a strong cultural fit for a dynamic, data-driven product management environment. Their experience spans academic machine learning projects and practical product analytics at a major media company. The Condé Nast Hackathon achievement and IEEE publication indicate a proactive, innovative mindset. The diverse projects and roles, from optimizing chatbots to migrating analytical frameworks to Databricks Genie, suggest adaptability and a willingness to tackle varied challenges, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate explicitly lists strong communication, problem-solving, self-motivation, teamwork, and leadership as soft skills. Their professional experience at Condé Nast, particularly in optimizing user interaction, designing dashboards for global brands, and leading AI-driven transformations, suggests a strong operational fit for roles requiring cross-functional collaboration and strategic decision-making. The hackathon finalist achievement further supports their ability to innovate and work effectively in a team.