Kanishka Fartiyal

Data Scientist

  • 6 proven skills
  • @KanishkaFartiyal
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Claims you can check

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  • StatedRésumé

    E-Commerce Sales & Customer Segmentation

    Cleaned and analysed 96,477 real orders from the Olist dataset across 9 product categories and 3 years of transaction data to uncover revenue and behaviour trends. Applied statistical clustering (KMeans) to segment customers into 4 actionable groups (Champions, At-Risk, Hibernating, Lost) with a Silhouette Score of 0.525; found the top 20% of customers drove ~62% of revenue — a pricing/retention-relevant insight.
  • StatedRésumé

    Tech Industry Layoffs & Data Science Salary Analysis

    Cleaned and standardised 746,809 records across 1,703 companies (2020–2025) using advanced SQL (CTEs, window functions, CASE WHEN) to answer 8 business questions on trends, geography and funding. Cross-referenced with a salaries dataset and identified 14 companies that shut down despite raising substantial funding, with activity spiking after the ChatGPT launch — visualised across 12 queries with Seaborn.
  • StatedRésumé

    Data Analyst Intern @ Ingrify (Verinova Labs)

    Developed a process to collect, validate and clean 499 real-world product records across brands, categories and nutrition — standardising messy source data into a decision-ready dashboard and cutting manual lookup time by ~40%. Ran data validation and quality checks across categories while building 12+ FastAPI/SQLAlchemy/MySQL endpoints to power search, filtering, and reporting for business users on consistently validated data. Analysed attributes across 6 classifications and 30+ brand categories, translating validated data into visual comparisons used for business reporting and competitive benchmarking.
  • StatedRésumé

    Content Analyst @ Content Analytics (Freelance)

    Tracked views, engagement and retention metrics across client deliverables in Excel, identifying performance trends and building repeatable reporting templates. Ran an informal test comparing content formats — found hook delivery under 3 seconds plus mid-video pattern interrupts drove 2× average watch-time — turned the finding into a documented, repeatable brief for clients.
  • StatedRésumé

    Excel Dashboards for Business Analytics

    Certification by Great Learning
  • StatedRésumé

    Data Analysis using Excel

    Certification by Great Learning
  • StatedRésumé

    CS50P – Introduction to Programming with Python

    Certification by Harvard / edX
  • StatedRésumé

    Data Analysis – Beginner to Advanced

    Certification by Udemy

What Kanishka can prove

Proven Unproven

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INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK
GRAPH NODES: 23 · CONNECTIVITY FACTOR: 0.26
Skill constellation: 23 skills, 0 interview-verified.CLUSTERING/SEGMENTATIONDATA INTERPRETATION & TRANSFORMATIONDATA STRUCTURING & STANDARDISATIONEXCELFASTAPIGITGOOGLE CLOUD PLATFORMJAVASCRIPTJUPYTER NOTEBOOKMATPLOTLIBMYSQLNUMPYPOWER BIPYTHONQUALITY CHECKSROOT CAUSE ANALYSISSCIKIT-LEARNSEABORNSQLSQL SERVERSQLALCHEMYTREND & OUTLIER DETECTIONPANDAS
  • clustering/segmentation: self-declared, 0 evidence items
  • data interpretation & transformation: self-declared, 0 evidence items
  • data structuring & standardisation: self-declared, 0 evidence items
  • Excel: self-declared, 0 evidence items
  • FastAPI: self-declared, 0 evidence items
  • Git: self-declared, 0 evidence items
  • Google Cloud Platform: self-declared, 0 evidence items
  • JavaScript: self-declared, 0 evidence items
  • Jupyter Notebook: self-declared, 0 evidence items
  • Matplotlib: self-declared, 0 evidence items
  • MySQL: self-declared, 0 evidence items
  • NumPy: self-declared, 0 evidence items
  • Pandas: self-declared, 2 evidence items, linked to Project: E-Commerce Sales & Customer Segmentation, Project: Tech Industry Layoffs & Data Science Salary Analysis
  • Power BI: self-declared, 0 evidence items
  • Python: self-declared, 2 evidence items, linked to Project: E-Commerce Sales & Customer Segmentation, Project: Tech Industry Layoffs & Data Science Salary Analysis
  • quality checks: self-declared, 0 evidence items
  • root cause analysis: self-declared, 0 evidence items
  • Scikit-learn: self-declared, 1 evidence items, linked to Project: E-Commerce Sales & Customer Segmentation
  • Seaborn: self-declared, 1 evidence items, linked to Project: Tech Industry Layoffs & Data Science Salary Analysis
  • SQL: self-declared, 1 evidence items, linked to Project: Tech Industry Layoffs & Data Science Salary Analysis
  • SQL Server: self-declared, 1 evidence items, linked to Project: Tech Industry Layoffs & Data Science Salary Analysis
  • SQLAlchemy: self-declared, 0 evidence items
  • trend & outlier detection: self-declared, 0 evidence items
No architecture case studies yet

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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

    Ingrify (Verinova Labs)

  2. CS50P – Introduction to Programming with Python

  3. Content Analyst

    Content Analytics (Freelance)

  4. Data Analysis – Beginner to Advanced

  5. CMR University

    Bachelor of Computer Applications (BCA)

  6. KVM Public School

    12th Grade (Senior Secondary)

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