Mausumi Meher

Data Scientist

Bengaluru, Karnataka, India2 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Automated ETL pipelines, reducing manual intervention by 80%.
Achieved 98% data accuracy in index rebalancing for 200+ portfolios.
Led Agile tracking, enhancing cross-functional onboarding and audit readiness.

Stackforce AI infers this person is a Fintech Data Analyst with strong skills in Python and data-driven decision-making.

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Skills

Core Skills

Data AnalysisPythonData QualityCompliance ManagementSystem MaintenanceProject Management

Other Skills

DataikuPySparkPython (Programming Language)SQLCommercial BankingTransactional BankingMicrosoft Power BIMATLABIndexingGitHubJiraMicrosoft OfficeAgile MethodologiesStakeholder ManagementStatistical Data Analysis

About

Indxx has been my platform to contribute to index design and quantitative analytics, leveraging my MSc in Mathematics from IIT Indore. My work focuses on automating ETL pipelines, enhancing data quality, and streamlining financial index rebalancing using Python and SQL, ensuring accuracy and client satisfaction. Passionate about data-driven decision-making, I aim to harness advanced analytics to deliver actionable insights in the financial domain. My technical acumen and collaborative approach drive solutions that improve efficiency and accuracy across processes. You can book 1:1 mentorship or career guidance sessions with me here: https://topmate.io/mausumi_meher/

Experience

Standard chartered

Data Analyst - Analytics solutions

Dec 2025 – Present · 3 mos · Bengaluru, Karnataka, India · On-site

DataikuPySparkPython (Programming Language)SQLCommercial BankingTransactional Banking+2

Innomatics research labs

Data Science with GenAI

Sep 2024 – Nov 2024 · 2 mos · Remote · Remote

Data ScienceGenAI

Indxx

Associate - Quant Analytics

Feb 2023 – Aug 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

Automated a robust ETL pipeline to migrate 2018–2024 Option Metrics data using Selenium and Python, reducing manual intervention by 80% and processing 2–3 GB zip files daily into an Oracle database.
Enhanced data quality assurance by designing anomaly detection scripts during the V2 to V3 migration, preventing future discrepancies and improving ingestion accuracy by 30%.
Streamlined fixed-income index rebalancing for 200+ portfolios using Python (openpyxl) and Excel; integrated ESG data and file pipelines, achieving 98% data accuracy and 100% client delivery satisfaction.
Improved client reporting efficiency by 15% by automating monthly/annual financial KPIs via Excel Pivot Charts and SLAs using macros and scripting.
Boosted index computation speed by 25% through custom SQL algorithms that modularized complex logic, reducing turnaround time and enhancing accuracy by 15%.
Ensured 100% compliance with index publishing deadlines by testing and deploying Python & SQL workflows for FX, options, futures, and roll strategies across 200+ indices.
Maintained 99.9% system uptime through L2/L3 support of financial systems and Control-M jobs, cutting recovery time by 30% via automated alert and escalation mechanisms.
Led Jira-based Agile tracking for bugs, enhancements, and sprints; maintained SharePoint documentation and SOPs, accelerating cross-functional onboarding and audit readiness.

Python (Programming Language)SQLMicrosoft Power BIMATLABIndexingGitHub+8

The sparks foundation

Data analyst and business analyst intern

Dec 2022 – Jan 2023 · 1 mo

Created an EDA project to find out the hot zone of terrorist attacks globally using PowerBI and Python libraries.
Successfully gathered data from multiple sources and created a comprehensive database for analysis.

pandasMatplotlibPython (Programming Language)Microsoft Power BINumPySeaborn+1

Finlatics

Business analyst Intern

Aug 2022 – Nov 2022 · 3 mos · Mumbai, Maharashtra, India

Collaborated with Internal and external Stakeholders for business requirements.
Converted data into actionable insights by predicting and modeling future outcomes.
Utilized Power BI and Excel to build interactive dashboards for different business units.
Build data visualizations using SQL and Excel for business KPIs,reduced manual reporting.

Microsoft ExcelData AnalysisMicrosoft Power BI