Claims you can check
Each card points at something real — open the source and verify for yourself.
- StatedRésuméCleaned 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
- 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
Shipped work
See all workFlagship systems this candidate architected will appear here once attached to the dossier. No project has been added yet.
Getting better, on the record
Proven skills over time — today marked in lime.
This trajectory populates once the candidate completes scored interview sessions. No score has been recorded or estimated here.
Career chronology
Gaps shown honestly — only what's on the record.
Data Analyst Intern
Ingrify (Verinova Labs)
CS50P – Introduction to Programming with Python
Content Analyst
Content Analytics (Freelance)
Data Analysis – Beginner to Advanced
CMR University
Bachelor of Computer Applications (BCA)
KVM Public School
12th Grade (Senior Secondary)
Hiring for Data Scientist?
Request the full evidence dossier — verified interview sessions, cryptographically attested artifacts, and reference outcomes.
Goes straight to Kanishka. No recruiter spam.