OPEN TO INDIA & LONDON OPPORTUNITIES

HELLO, I’M NITHYASRI SRINIVASAN

Business &
Data Analyst.Financial insight. Business clarity.

I combine SQL, Python, PySpark and Power BI with business-facing experience to turn financial data and complex questions into clear, decision-ready insights.

Finance & fintech focusUK opportunities: sponsorship required

Explore financial analytics ↗Get my CV ↓

MSc Business AnalyticsQueen’s University Belfast

ANALYTICS EXPLORERNS / 01

01 / BUSINESS CONTEXT

Start with the right question.

Market research, customer requirements and opportunity assessment connect analysis to commercial priorities.

focus“business_value”↵

SELECT A DISCIPLINE TO EXPLORE↗

BUSINESS ANALYST / DATA ANALYST / BI ANALYSTSCROLL TO EXPLORE ↓

01 / SELECTED WORK

Built on questions.
Backed by analysis.

Start with financial reporting and business intelligence, then explore the research behind my analytical toolkit.

FEATURED INDUSTRY EXPERIENCE / LARSEN & TOUBRO

Financial reporting.
Rebuilt with SQL & PySpark.

During my data analytics internship, I translated SQL-based financial-reporting logic into PySpark workflows for outstanding-ageing and due-payment analysis, then validated the results against the SQL baseline.

01 / UNDERSTAND

Reporting logic

Work through stored-procedure rules and the financial records they describe.

02 / TRANSFORM

PySpark workflows

Use DataFrames, joins, aggregations and window functions to reproduce the logic.

03 / CHECK

SQL validation

Compare outputs against SQL results to validate reporting consistency.

04 / INTERPRET

Payment visibility

Identify overdue and unbooked payment records for outstanding-ageing analysis.

Research depth: networks & explainable AI

FEATURED / MSc DISSERTATION01 ↗

NETWORK INTELLIGENCE

COMMERCIAL REGULATORYILLUSTRATIVE NETWORK

EXPLAINABLE AI × NETWORK SCIENCE

Understanding the networks behind medical devices.

Connected commercial relationships, manufacturing footprints, inspections and patents to study the structure of 245 medical-device companies.

4Company archetypes

0.80ROC-AUC

SHAPModel explainability

Network analysisPCA & clusteringXGBoostCounterfactuals

INSIDE THE DISSERTATION

Follow the analytical pipeline.

Select a stage to see how the research fits together.

BLOOMBERG / FDA / DISCERN

One connected view of 245 companies.

Combine commercial-network, manufacturing-footprint, regulatory-inspection and patent data to examine companies across multiple layers.

RESEARCH
IN NUMBERS ↘

245

Medical-device companies

Multilayer dissertation dataset

0.80

ROC-AUC

Supplier-connectivity prediction

501k

Network observations

Collaboration success analysis

95.89%

Reported accuracy

Neonatal research evaluation

02 / CAPABILITIES

A connected toolkit.
From context to clarity.

Explore each discipline to see the tools I use and where I’ve applied them.

BUSINESS × ANALYTICS

Frame the problem before the analysis.

Translate customer needs and market information into a clearer view of commercial opportunities and decision priorities.

Market researchRequirementsOpportunity assessmentProposal support

APPLIED AT

Mars Sigma Solutions — prospect identification, customer requirements, proposals and commercial reporting.

Explore the experience ↗

03 / INDUSTRY EXPERIENCE

Where analysis
meets the real world.

Business-facing experience, supported by hands-on work in financial analytics, BI and ETL.

SEP 2025 — PRESENTCURRENT ROLE

Mars Sigma Solutions 01

Business Development & Analytics Associate

Supports business development through market research, prospect identification, opportunity assessment and customer-focused proposals.

BUSINESS FOCUS

Consulting, training and third-party inspection opportunities.

CONTRIBUTION

Customer requirements, internal coordination and reporting to support opportunity prioritisation.

Remote / part-time during MSc; full-time from September 2026.

FEB — APR 2025INTERNSHIP

Larsen & Toubro 02

Data Analytics Intern

Converted SQL financial-reporting logic into scalable PySpark workflows for outstanding-ageing and due-payment analytics.

ENGINEERING

Spark DataFrames, joins, filters, aggregations and window functions.

VALIDATION & EFFICIENCY

SQL result validation, partitioning, caching and broadcast joins.

AUG — NOV 2023INTERNSHIP

Saksoft 03

Data Analytics & ETL Intern

Built relational databases and connected MSSQL with Python for extraction and preprocessing, then delivered interactive Power BI dashboards.

BUSINESS INTELLIGENCE

DAX, Top-N analysis, slicers, drill-through and geospatial views.

DATA WORKFLOWS

SSIS conditional splits, merge joins and lookups, with exposure to delta loads and data warehouses.

04 / THE PERSON BEHIND THE ANALYSIS

Technical curiosity.
Business instinct.

I’m Nithyasri — a computer science graduate with an MSc in Business Analytics and an interest in making analytical work useful beyond the model.

My experience spans commercial research, financial data workflows, interactive dashboards and explainable machine learning. I enjoy connecting these perspectives: understanding the question, working through the data and communicating what it means.

EDUCATIONComputer science + business analytics

LANGUAGESEnglish · Tamil · German · Hindi

Business Analytics

Queen’s University Belfast

Dissertation: integrated multilayer analysis of medical-device companies.

2021 — 2025 / CHENNAI, INDIAB.Tech

Computer Science & Engineering

Vellore Institute of Technology

CGPA: 7.7 / 10

CONTINUOUS LEARNING

Credentials & research.

Research publicationAI & IoT ↗

Enhanced Framework for Predictive Analytics of Infants Integrating AI & IoT. Developed a CNN–XGBoost approach to neonatal health prediction.

Agile Job SimulationForage · 2023 +

JPMorgan Chase & Co. Agile Job Simulation, completed October 2023.

Power BI DesktopCoursera · 2023 +

Getting Started with Power BI Desktop — Coursera Project Network, September 2023.

Data Science & AI / SQL2022–2023 +

Advanced Certification in Data Science and AI, February–September 2022. SQL (Basic), HackerRank, April 2023.

TAKE THE DETAILS WITH YOU

Experience, in one document.

Choose the CV version for your location.

India CV ↓UK CV ↓

OPEN TO FULL-TIME OPPORTUNITIES

Let’s turn your next
question into clarity.

Business Analyst · Data Analyst · BI Analyst
Open to India and London opportunities · UK sponsorship required

Email me ↗LinkedIn ↗

nithyainspires@gmail.com

Business &Data Analyst.Financial insight. Business clarity.