Education

  • University of Leeds, UK
    Sep 2024 — Sep 2025
    MSc in Business Analytics and Decision Science
    Result: Pass  ·  180/180 Credits
    Key modules: Forecasting & Advanced Analytics, Quantitative Analysis, Business Decision Science, Data Visualisation, Evidence-Based Consultancy, Effective Decision Making
    Dissertation: Technology Adoption in Real Estate: Designed a 20-interview research programme, applied NLP sentiment analysis (NLTK) achieving topic coherence score of 0.68, and delivered strategic recommendations as a structured consultancy report.
  • MIT World Peace University, India
    Jun 2019 — Jun 2022
    Bachelor's in Business Administration — Finance
    Distinction  ·  CGPA: 9.05 / 10
    Core modules: Corporate Finance, Financial Accounting, Quantitative Methods, Budgeting & Forecasting, Financial Performance Analysis, Business Economics

Skills

  • Analytics & Data: SQL, Python (Pandas, NumPy, Scikit-learn, NLTK, BeautifulSoup4), R (ggplot2, dplyr, forecast), Power BI, Tableau, Advanced Excel (VBA, pivot tables, VLOOKUP), SPSS
  • Methods: Forecasting (ARIMA, ETS), Regression (OLS), NLP & Sentiment Analysis, Machine Learning (SVM, TF-IDF), MCDA (WSM, TOPSIS), Process Mapping (BPMN), Statistical Analysis
  • Business Analysis: Requirements Elicitation, User Stories & Acceptance Criteria, Stakeholder Management, Root Cause Analysis, RAID Logs, UAT Support, Gap Analysis
  • Delivery: Agile (Scrum/Kanban), Git & GitHub, Jira (awareness), Confluence (awareness), Salesforce CRM, Microsoft Office Suite

Experience

  • Taco Bell, Leeds, UK
    Apr 2025 — Jun 2026
    Operations Analyst
    • Managed shift operations generating £1.5k/hr in revenue, tracked real-time KPIs (speed of service, waste %, customer satisfaction) using Excel (pivot tables, VBA) and flagged variance trends 24–48 hrs before they escalated into operational issues.
    • Conducted root-cause analysis on a recurring cash reconciliation discrepancy, redesigned the end-of-shift workflow, eliminating 100% of errors across all subsequent shifts and reducing management review time.
    • Trained and onboarded new team members, documented updated processes and ensured consistent adoption across all shifts.
    • Recognised as Employee of the Quarter Q1 2026 , selected from 35+ staff across the Leeds site.
  • Texmo Pipes and Products Limited
    Mar 2024 — Apr 2024
    Research Analyst
    • Identified and tracked 20+ government tender opportunities for CPVC, UPVC, and HDPE pipe products using Excel (VLOOKUP, pivot tables) , built structured tracker supporting a pipeline worth ~£180k.
    • Researched competitor pricing and market positioning across 5+ product categories, produced structured analysis reports supporting commercial decision-making and bid prioritisation.
    • Conducted procurement process gap analysis, documented As-Is workflows, identified 3 key process inefficiencies, and presented structured recommendations to senior management.
  • Cyperts Digital Solutions Pvt. Ltd.
    Jan 2023 — Feb 2024
    Business Analyst   | B2B Technology Consulting | AI & Blockchain Projects | UK & US Clients
    • Gathered and documented requirements across 15+ stakeholder sessions for booking system and app development projects, translated briefs into functional specifications using Confluence and JIRA , tracked delivery across 6-week Agile sprints.
    • Used SQL and Excel (VBA, pivot tables) to process and qualify 200+ daily leads, built segmentation models improving lead-to-conversion by 18% over 3 months, contributing to £25k+ in client revenue.
    • Built 5+ interactive dashboards in Power BI and R (ggplot2, dplyr) for senior consulting clients, reduced average time-to-insight from 2 days to same-day for weekly reporting cycles.
    • Applied NLP sentiment analysis (Python: NLTK, TextBlob) to 2,000+ customer review records, identified 5 key satisfaction drivers that informed a product redesign adopted by the client within 6 weeks.
    • Managed Agile delivery across concurrent workstreams, maintained RAID logs, facilitated sprint planning for teams of 6–8 , and produced bi-weekly reports tracking 12+ active action items per cycle.
  • Big Brain Technology LLP
    Jun 2022 — Dec 2022
    Financial Data Analyst Intern
    • Performed data extraction, cleaning, and interpretation across finance department datasets using Excel (pivot tables, VLOOKUP, conditional formatting) , processed 500+ financial records monthly, identifying data quality issues and anomalies before they reached senior reporting cycles.
    • Built structured Excel models tracking revenue trends, cost variances, and budget vs actuals across 6 reporting periods , produced weekly MI reports translating raw financial data into clear, management-ready findings for senior stakeholders.
    • Presented structured financial data findings to senior management, translated complex datasets into actionable conclusions; certified as excellent by company CEO for professional conduct and high comprehension capacity throughout the internship.
  • The Times of India
    May 2021 — Jul 2021
    Business Development Associate — Internship
    • Generated and qualified a pipeline of 80+ coaching institutes through structured outreach and prospect research, produced detailed account profiles covering decision-maker contacts, budget indicators, and programme fit.
    • Produced structured analytical reports for senior management, improved account prioritisation accuracy and reduced unqualified outreach by 40%, enabling the team to focus effort on highest-value prospects.
    • Conducted market research across the education sector, identified trends in digital learning adoption and competitor positioning, producing weekly intelligence briefings for the commercial team.

Achievements

  • Employee of the Quarter Q1 2026 — Taco Bell, Leeds, selected from 35+ staff
  • National-Level Skating Gold Medalist — ranked in top 3 nationally across 200+ competitors
  • English for Business and Entrepreneurship — University of Pennsylvania / Coursera (2024)
  • Google Data Analytics Professional Certificate — Coursera, in progress