Aditya Kapil
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Aditya Kapil

Product Manager

  • 8 proven skills
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Claims you can check

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  • StatedRésumé

    AI-Powered Business Intelligence Dashboard

    Built a BI pipeline that pulls in sales, ops, and engagement data from multiple sources into Power BI dashboards tracking 15+ KPIs. Applied ARIMA and linear regression to forecast monthly revenue and churn. Integrated the OpenAI API to generate natural-language explanations of KPI anomalies and summaries for non-technical users.
  • StatedRésumé

    Customer Churn Prediction and Segmentation Model

    Analyzed 50,000+ customer records using SQL and pandas, performing EDA and feature engineering to surface churn drivers. Built Random Forest and XGBoost classification models. Ran RFM segmentation and cohort analysis, and automated a weekly churn risk-score refresh with segment insights visualized in Power BI.
  • StatedRésumé

    Data Analyst Intern @ Socteamup

    Integrated the OpenAI API into internal reporting workflows to generate natural-language summaries of KPI anomalies. Built ARIMA-based forecasting models in Python to analyze product usage patterns; delivered weekly SQL-driven reports that contributed to sprint retention improvements. Built and maintained Power BI dashboards tracking 12+ KPIs and standardized data validation checks across ingestion pipelines.
  • StatedRésumé

    Finalist (Top 5/120), Inter-College Risk & Analytics Case Competition

    Designed a risk-adjusted forecasting framework using Monte Carlo simulations to optimize decision-making under uncertainty.
  • StatedRésumé

    Best Quantitative Project, ECE Department, NSUT

    Created an ML-based demand forecasting model that reduced simulated stockouts by 50% through predictive inventory planning.
  • StatedRésumé

    Top 10/350+, Quant Coding Challenge (HackNSUT)

    Optimized Python/C++ trading strategy logic under computational and memory constraints.
  • StatedRésumé

    JEE Mains, Top 4% (among 1.2M+ candidates)

    Qualified for JEE Advanced through strong performance in quantitative and analytical problem sets.

What Aditya can prove

Proven Unproven

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INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK
GRAPH NODES: 29 · CONNECTIVITY FACTOR: 0.28
Skill constellation: 29 skills, 0 interview-verified.A/B TESTINGAPACHE SPARKARIMAC++CELERYDASHBOARD DEVELOPMENTDATA STORYTELLINGEDAETL PIPELINESFORECASTINGGITHTMLJUPYTER NOTEBOOKKPI DESIGNMATPLOTLIBMS EXCELNUMPYOPENAI APIPOSTGRESQLPOWER BIPREDICTIVE MODELLINGPYTHONREST APISSCIKIT-LEARNSHADERLABSQLSTATISTICAL ANALYSISTABLEAUPANDAS
  • A/B Testing: self-declared, 0 evidence items
  • Apache Spark: self-declared, 0 evidence items
  • ARIMA: self-declared, 1 evidence items, linked to Project: AI-Powered Business Intelligence Dashboard
  • C++: self-declared, 0 evidence items
  • Celery: self-declared, 0 evidence items
  • Dashboard Development: self-declared, 0 evidence items
  • Data Storytelling: self-declared, 0 evidence items
  • EDA: self-declared, 1 evidence items, linked to Project: Customer Churn Prediction and Segmentation Model
  • ETL Pipelines: self-declared, 0 evidence items
  • Forecasting: self-declared, 0 evidence items
  • Git: self-declared, 0 evidence items
  • HTML: self-declared, 0 evidence items
  • Jupyter Notebook: self-declared, 0 evidence items
  • KPI Design: self-declared, 0 evidence items
  • matplotlib: self-declared, 0 evidence items
  • MS Excel: self-declared, 0 evidence items
  • NumPy: self-declared, 0 evidence items
  • OpenAI API: self-declared, 1 evidence items, linked to Project: AI-Powered Business Intelligence Dashboard
  • pandas: self-declared, 2 evidence items, linked to Project: AI-Powered Business Intelligence Dashboard, Project: Customer Churn Prediction and Segmentation Model
  • PostgreSQL: self-declared, 0 evidence items
  • Power BI: self-declared, 2 evidence items, linked to Project: AI-Powered Business Intelligence Dashboard, Project: Customer Churn Prediction and Segmentation Model
  • Predictive Modelling: self-declared, 0 evidence items
  • Python: self-declared, 2 evidence items, linked to Project: AI-Powered Business Intelligence Dashboard, Project: Customer Churn Prediction and Segmentation Model
  • REST APIs: self-declared, 0 evidence items
  • scikit-learn: self-declared, 1 evidence items, linked to Project: Customer Churn Prediction and Segmentation Model
  • ShaderLab: self-declared, 0 evidence items
  • SQL: self-declared, 2 evidence items, linked to Project: AI-Powered Business Intelligence Dashboard, Project: Customer Churn Prediction and Segmentation Model
  • Statistical Analysis: self-declared, 0 evidence items
  • Tableau: self-declared, 0 evidence items

Shipped work

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Getting better, on the record

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Career chronology

Gaps shown honestly — only what's on the record.

Trajectory timeline

  1. Data Analyst Intern

    Socteamup

    2025-06-01 — 2025-08-01

  2. Netaji Subhas University of Technology (NSUT), New Delhi

    B.Tech

    ? — 2026

  3. Navyug Convent School, Najafgarh, Delhi

    Class 12th, CBSE

    ? — 2022

  4. St Mary’s Convent School, Gajraula, U.P.

    Class 10th, CBSE

    ? — 2020

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