Chess
Marketing and Communications Specialist
PHRII : Marketing and Communications Specialist (01/2026 – 05/2026)
Employment Classification : Part-Time (Hybrid)


Early Career Data Analyst || 3x Certified Salesforce Consultant - 4 years of lucidity and liveliness around Software quality ||
An award-winning SFDC Lead Consultant (4yrs) for SaaS-based firms around Telecom and Healthcare Domains focusing on User quality and Software Delivery.
Early Career Data Analyst enthusiast.
Certified in Salesforce Administration, AI-based Power BI and as a Salesforce Agentforce Specialist.
PHRII : Marketing and Communications Specialist (01/2026 – 05/2026)
Employment Classification : Part-Time (Hybrid)
VCodez : Data Scientist (01/2025 – 04/2025)
Employment Classification : Internship (Remote)
Explore Learning : GCSE Math and English Tutor (01/2024 – 09/2024)
Employment Classification : Part-Time (On-Site)
Deloitte USI : DC Consultant (08/2019 – 06/2023)
Employment Classification : Full-Time (On-Site)
Chess
Sudoku
Badminton
India CPI Inflation Case Study – Coding Ninjas (April 2026)
★ Reduced data-reading time by 40% spotting trends 2x faster by transforming raw metrics to striking visuals revealing key retrospective insights.
★ Analyzed sectoral CPI inflation dynamics using Year on Year, absolute change, weighted aggregation formulae and correlation metrics to map price co-movements and evaluate underlying covariance.
★ Extracted macroeconomic insights by calculating inflation/deflation percentages and performed diagnostic analysis isolating 2 primary sub-contributors responsible for a 16.6% and 12.09% shift in overall index price drivers.
Analysis of neural network architecture and machine learning for emotion detection – University of Hertfordshire (May 2024 - September 2024)
★ Optimized model performance via hyperparameter tuning - epochs, layers, kernel size, optimizers.
★ Implemented KNN and Random Forest. For CNN models optimizers like ‘Adam’, ‘RMSprop’, and activation functions like ‘ReLU’, ‘Sigmoid’ were incorporated to ensure model correctness.
★ Evaluated performance using Accuracy, F1-score, Recall, Precision, and confusion matrices.
★ Multi-class yielded 26% accuracy upon applying the ‘Tanh Activation’ whilst Binary bifurcated class yielded 64% for the same. Conducted comparative analysis on multi-class and binary emotion datasets to refine model selection.
Experience (Years) : SFDC Lead Con. at Deloitte USI
Experience (Months) : GCSE Tutor at Explore Learning, UK
Experience (Months) : Data Scientist Internship at VCodez
Deloitte USI :