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Srinidhi Bharthur

I help clients find solutions to complex business problems by understanding business issues, eliciting requirements, identifying and mapping the product development vision and solution to existing requirements.

Further, I drive business transformation through a data-driven approach based on mining data, performing deep data analysis, and presenting insights to decision-makers that enable them to make strategic decisions.

I hold a Master of Science in Business Analytics and International Business from Hult International Business School in USA.

I have engaged with cross-functional teams and clients to identify and drive business process improvements through data science and big data, including building complex data models using R, SQL, Python, Tableau, Google Analytics, MongoDB Compass, Apache Hadoop, Spark and Hive.

Specialities:

Big Data Analytics, Data Visualisation, Machine/Deep Learning, Data Strategy & Leadership, and Business Analysis

Tools: R, SQL, Python, Tableau, Google Analytics, MongoDB Compass, Apache Hadoop, Spark, Hive, Microsoft Excel, Google Sheets, Power BI Desktop, TensorFlow 2.0, Java, C++, MySQL, Navicat, Notepad++, and Scala

  • Role

    Data Management Analyst (Team Leader)

  • Years of Experience

    5.6 years

Skillsets

  • Power BI
  • Jenkins
  • Jira
  • Kubernetes
  • Matplotlib
  • MongoDB
  • MS Excel
  • Msk
  • Notepad++
  • NumPy
  • Oracle DB
  • pandas
  • Playwright
  • PostgreSQL
  • IAM
  • PySpark
  • Qlik
  • Regression Testing
  • S3
  • Sagemaker
  • Salesforce
  • SciPy
  • Seaborn
  • StatsModels
  • tidyr
  • TSA
  • VS Code
  • Docker
  • Python - 2 Years
  • R
  • SQL - 2 Years
  • Tableau - 2 Years
  • Java
  • MySQL
  • Alteryx
  • Apache Hadoop
  • Athena
  • AWS Lambda
  • CloudWatch
  • Databricks
  • JavaScript
  • dplyr
  • Eclipse
  • ECR
  • EKS
  • EMR
  • Figma
  • Forecast
  • Functional Testing
  • ggplot2
  • Git
  • Glue
  • Hive

Professional Summary

5.6Years
  • Oct, 2023 - Present2 yr 7 months

    Data Management Analyst (Team Leader)

    Jpmorgan Chase
  • May, 2023 - Sep, 2023 4 months

    Data Scientist

    Mantra Technologies
  • Jan, 2022 - Mar, 20231 yr 2 months

    Associate Data Scientist

    Google
  • Oct, 2019 - Aug, 2020 10 months

    Business Analyst

    Flexon Technologies
  • Nov, 2020 - Nov, 20211 yr

    Data Science Consultant

    Ovaledge

Applications & Tools Known

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    Jira

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    HubSpot

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    MySQL

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    Jenkins

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    MS Excel

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    SQL Server

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    Nexus

Work History

5.6Years

Data Management Analyst (Team Leader)

Jpmorgan Chase
Oct, 2023 - Present2 yr 7 months
    Spearheaded the development and maintained ownership of an end-to-end Playwright testing suite with JavaScript, significantly decreasing reliance on manual testing and speeding up validation cycles by 30%. Deployed an AI-powered document intelligence and decision automation pipeline for KYC MakerChecker workflows, leveraging NLP and supervised ML models (e.g., XGBoost) to extract, standardize, and validate PII, client identifiers, and complex regulatory attributes from unstructured documents, enabling automated approval/rejection decisions seamlessly integrated with enterprise system-of-record updates.

Data Scientist

Mantra Technologies
May, 2023 - Sep, 2023 4 months
    Orchestrated the end-to-end delivery of Gharpe by translating market-driven requirements into an Agile roadmap and prioritized backlog using Jira, while designing and operationalizing a Python-driven web scraping and data engineering framework to acquire, validate, and harmonize 1M+ real estate records across disparate listing platforms. Designed and operationalized A/B testing and experimentation protocols for UI/UX initiatives, leveraging statistical hypothesis testing and performance metrics to drive evidence-based feature prioritization and product decisions.

Associate Data Scientist

Google
Jan, 2022 - Mar, 20231 yr 2 months
    Led the strategic development of Googles Internal Quality Product Suite (Qplus), architecting configurable workflows and data-driven pipelines to optimize defect prioritization and feature intake. Performed statistical analysis and trend diagnostics using SQL and Python (Matplotlib, Seaborn) to evaluate auditing performance, identify anomalies, and inform iterative process optimization. Developed Python-based log analytics and failure reproduction frameworks, enabling faster diagnosis of sampler and access-control defects and reducing resolution turnaround time.

Data Science Consultant

Ovaledge
Nov, 2020 - Nov, 20211 yr
    Engineered a metadata ingestion and profiling framework for enterprise-grade data catalog enrichment, automating structured and unstructured metadata capture across heterogeneous sources to support unified data discovery and governance; ensured 99.9% platform uptime via resilient pipelines and Jenkins-driven CI/CD orchestration. Architected anomaly detection logic and automated rule evaluation that assessed deviations in metadata usage, quality scores, and lineage integrity, feeding into alerting mechanisms for stewards and engineering teams to prioritize remediation. Formulated iterative validation and smoke test suites that enforced catalog consistency and lineage coherence across 50+ modules, integrating SQL logic with governance workflows to ensure zero-defect releases and maintain robust quality controls.

Business Analyst

Flexon Technologies
Oct, 2019 - Aug, 2020 10 months
    Programmed the modernization of Kaiser Permanentes enterprise CRM platform through PEGA CPM-HC, redesigning CHATS modules and optimizing SQL Serverbased data pipelines to improve transactional performance and reduce system latency by 15%. Conducted predictive and statistical analysis on large-scale call-center datasets using SQL and advanced Excel automation, identifying workflow bottlenecks and enabling data-driven routing strategies that reduced operational costs by 10%. Developed iterative validation and smoke test suites that enforced catalog consistency and lineage coherence across 50+ modules, integrating SQL logic with governance workflows to ensure zero-defect releases and maintain robust quality controls.

Major Projects

2Projects

Gharpe E-Commerce Platform

May, 2023 - Sep, 2023 4 months
    Led Gharpes development, aligning Agile road-map and backlog prioritization for market-driven delivery using Jira, thereby enhancing stakeholder alignment with data-driven sprint planning. Designed A/B testing protocols as part of websites UI/UX design, leveraging statistical analysis to prioritize data-driven features.

Ovaledge Data Governance Suite

Nov, 2020 - Aug, 2021 9 months
    Developed metadata ingestion framework for SaaS data catalog, ensuring 99.9% uptime using Jenkins CI/CD. Created smoke and sanity test suites in Jira, ensuring zero-defect releases across 50+ modules with SQL scripts. Defined GDPR/CCPA-compliant data quality and PII rules, cutting compliance risks by 30% through gap analysis.

Education

  • Dual Degree - MBA - Masters.S. Data Science

    Hult International Business School (2019)

  • Bachelors in Mechanical Engineering

    B.M.S. Institute of Technology (2015)

Certifications

  • Stanford continuing studies certified professional: intro to data science

  • Programming in r

  • Official tableau desktop certified associate

  • Sql

  • R

  • Datacamp: intro to python

  • Intermediate python

  • Cleaning data in python

  • Joining data in sql

  • The ultimate hands-on hadoop: tame your big data

  • Udemy: tableau certified associate

  • Data visualization in python

  • Sql & database design a-z: learn ms sql server + postgresql

  • Tensorflow 2.0: deep learning and artificial intelligence

  • Keras deep learning bootcamp