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Data Science with 1+ years in Data Science & AI-driven Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analyst proficient in SQL, Python, and Advanced Excel, leveraging AI-driven tools to accelerate analysis, experimentation, and insight generation for product and growth teams in a fintech environment. Experienced in advanced analytics and EDA to uncover actionable insights that optimize conversion funnels, improve user engagement, and drive revenue growth.
Chitkara University
Bachelor Of Engineering · Computer Science
August 1, 2020 – June 30, 2024
Jupiter Money
Decision Scientist
April 1, 2026 – Present
Bengaluru, Karnataka, India
Jupiter Money
Decision Scientist Intern
November 1, 2025 – March 1, 2026
Bengaluru, Karnataka, India
Mu sigma
Trainee Decision Scientist
August 1, 2024 – December 1, 2024
Bengaluru, Karnataka, India
Agentic AI for Text Classification & Summarization
July 1, 2025 – September 1, 2025
Developed an agentic AI pipeline to classify and summarize 30K+ text documents using transformer-based models and LLM reasoning. Achieved 88% classification accuracy and reduced manual labeling effort by 70% through automated data annotation and active learning.
E-commerce Customer Segmentation
April 1, 2025 – June 1, 2025
Performed RFM and clustering analysis on 60K+ transactions using Python and SQL to identify high-value customer segments and support targeted marketing strategies.
Flight Price Predictor
January 1, 2025 – March 1, 2025
Built a flight price prediction model using Python on 50K+ records, achieving 85% accuracy through feature engineering and model evaluation using RMSE and MAE.
Postgraduate Program in Data Science and Analytics
Imarticus Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from flight price prediction to e-commerce segmentation and agentic AI, indicates a broad interest in data science applications. Their experience in fintech (Jupiter Money) and consulting (Mu Sigma) suggests adaptability to different business environments. The focus on driving business outcomes and leveraging AI aligns well with a forward-thinking, impact-driven culture. The postgraduate program in Data Science and Analytics further reinforces a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and a results-oriented approach. Their experience in stakeholder management and KPI reporting indicates good operational fit for roles requiring data-driven decision support. The use of AI tools for efficiency suggests adaptability and a proactive approach to leveraging new technologies.