Nilesh Nayak

Data Scientist

Dublin, County Dublin, Ireland10 yrs 6 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 10+ years in Big Data Engineering and Analytics.
  • Expert in healthcare and financial domains.
  • Proven track record in data-driven product development.
Stackforce AI infers this person is a Data Engineering and Analytics expert in the Healthcare and FinTech sectors.

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Skills

Core Skills

Data EngineeringBig Data AnalyticsData AnalysisData VisualizationStatistical Data AnalysisData ModelingData Science

Other Skills

Amazon S3Amazon Web Services (AWS)Apache SparkApplied Machine LearningArtificial Intelligence for BusinessAzure Data FactoryAzure DatabricksBig DataBusiness AnalyticsCluster AnalysisDashboardData AnalyticsData CleaningData IntegrationData Quality

About

10+ years experience in Big Data Engineering, ETL , Big Data Analytics, Data Science and Product Development MSc. Social Data Analytics at UCD (Ireland) B.E. in Information Science and Engineering at PESIT (India). Highly experienced in healthcare, financial and banking domain Professional Summary : • Hands-on experience in Data modeling, Python, and exploratory data analysis • Built highly performant and complex dashboards on PowerBI, Tableau, QlikView to drive business decisions through key performance indicator (KPI) metrics • Applied statistical analysis (precision, recall, accuracy metrics) to validate data products • Built new product features, validated algorithms, and provided sign-offs on data science models • Proactively involved in providing feedback, recommendations & data insights to data scientists, data engineers to build products for market and customer use cases • Proposed and driven new product ideas with senior stakeholders & management using data driven stories • Keenly interested in the areas of Machine Learning, AI, Data modelling and monitoring, Data wrangling, and validation of supervised and unsupervised learning algorithms • Cross-domain expertise in Model validation and Analytics & insights across Fin-tech Technical Skills : Programming Languages: Python (Numpy, Pandas, SciPy, Matplotlib, ScikitLearn), PySpark, R, PLSQL, SQL, Scala, VBA IDE’s / Frameworks / Tools / Version Control: Anaconda, R Studio, Visual Studio, Jupyter Notebook, GitHub Machine Learning Algorithms: Linear Regression, Logistic Regression, KMeans Clustering, Time Series Forecasting. Basic knowledge on Dimensionality Reduction, SVM, KNN, Decision Trees, Random Forest, Boosting methods Databases: Oracle DB, MySQL, SQL Server, MS Access ETL and Big Data: Apache Spark, Hadoop, Alteryx, DBVisualizer, CISCO Information Server Cloud Technologies: Azure Data Factory, Azure Databricks, AWS Redshift, Amazon S3, Apache Kafka Data Visualization Tools: Tableau, Power BI, QlikView, MS Excel Documentation and Design: Excalidraw, Figma, Latex, MS Word, MS Visio, PowerPoint Domain and Functional expertise : Healthcare (Pharmacy Business management), Banking (credit, debit, investment banking), Insurance, Product Analytics, Fraud Detection, AML, Equity Research, Sales, HR, Market research

Experience

Optum

Senior Data Analyst

Sep 2022Present · 3 yrs 6 mos · Dublin, County Dublin, Ireland · Hybrid

  • Implemented ETL applications as Data Engineer to migrate legacy databases and code pipelines from Netezza to Azure Databricks
  • Automated data pipelines and workflows in Azure Databricks for weekly and monthly reporting purposes
  • Designed POC's, built and implemented real time / near real time data pipelines
  • Mapped SQL codes to logic required for validating business case scenarios
  • Migrated legacy Tableau dashboards and transformed them to PowerBI dashboards , thereby ensured production ready products and saving costs to the company
  • Exposure in Data warehousing/data modelling principles in large environments on healthcare datasets
  • Applied data driven strategies to solve end-to-end applications for usage by senior clinical stakeholders
  • Projects :
  • 1) Identifying patterns of surplus stock pilling of medications by members
  • 2) Reporting drug spike detection for clients at client and drug level
  • 3) Reporting patterns in member fraud, wasted spend and abuse using claims dataset
  • 4) Exploring centralised reference data sources on formulary, utilization management, drugs etc
Azure Data FactoryTableauDatabasesStatistical Data AnalysisBusiness AnalyticsAmazon Web Services (AWS)+13

Envestnet | yodlee

Associate Data Scientist

Feb 2020Aug 2021 · 1 yr 6 mos · India · On-site

  • Worked on data modeling, data validation, and other EDA techniques
  • Built AWS S3 data pipelines and validated data lineages for large datasets using PySpark,
  • Applied statistical measures such as precision, recall, correlation, differential mobility, MAPE calculation techniques, so as to validate business use cases and provide signoff's on data models
  • Designed and implemented new features & dimensions to existing Yodlee Data Science models like user income predictions, customer payroll transaction identification, and user demographics identification using Pyspark scripts. These models were deployed on Apache Spark EMR, thereby impacting 5 downstream Yodlee applications/products
  • Led the feature development process and provided product improvement ideas to data scientists, data engineers, and coordinated the releases
  • Proactively involved in driving new product ideas to senior management
  • Technology:
  • Python, SQL, PySpark, AWS Redshift, Amazon S3, Tableau
TableauAmazon S3Amazon Web Services (AWS)PythonSQLPySpark+3

Crisil global research & analytics

Senior Research Analyst

Aug 2017Feb 2020 · 2 yrs 6 mos · Bangalore

  • Performed data wrangling on sales datasets of more than 400+ Asset Management and Capital Management firms
  • Automated adhoc and regular reporting procedures for the marketing of equity stocks by a large investment bank
  • Quality checked on data issues using automated Python scripts and automated data upload process onto third-party vendor platforms, thereby improving performance by 5 times to upload data asynchronously.
  • Resolved business queries and generated team performance statistics on Qlikview
  • Recommended changes in the existing business processes to senior stakeholders and management
  • Lead a Team of 5 members and mentored junior team members while developing new Data Management frameworks
  • Technology:
  • Python, SQL, Qlikview, Excel Reports, VBA
PythonSQLQlikviewExcel ReportsVBAData Analysis+1

Pricewaterhousecoopers - service delivery center (pwc sdc)

Data Analyst

May 2016Jun 2017 · 1 yr 1 mo · Bangalore

  • Identified money laundering patterns such as structuring over large value transactions by implementing effective SQL queries on banking datasets
  • Built Trigger mechanisms on suspicious activity scenarios and reported fraud thereby saving millions to the client bank
  • Mutitasked multiple projects as a Data Integration and Migration Analyst
  • Implemented SQL stored procedures in SQL Server Management Studio to migrate all data from source and target tables into audit testing environment
  • Executed SQL scripts over testing environments to determine data completeness and data consistency errors for each test case
  • Documented Reports of data migration activities and shared with the client bank for further analysis
  • Gained exposure on ARCA (AML Risk and Compliance Analytics)
  • Technology:
  • PLSQL, SQL, Excel, VBA
PLSQLSQLExcelVBAData AnalysisData Engineering

American international group (aig)

Programmer Analyst Associate

Jun 2014May 2016 · 1 yr 11 mos · Bangalore

  • Involved in multiple projects as an ETL developer and performed data integration and validation
  • Worked on tools like Oracle SQL Developer and SQL Server Management Studio to write SQL and PL-SQL scripts including stored procedures, triggers & functions
  • Built data lakes and integrated data warehouses & databases
  • Created KPI's dashboards over Insurance datasets by analyzing key metrics impacting local and global premium payment amounts, profit to loss ratio, and other statistics using Qlikview and Tableau
  • Performed data visualization using graphs/plots (Line, Bar, Scatter Plot, Bubble, Box Plot, Histogram)
  • Acquired subject-matter expertise on performance improvement strategies and insights generation on Insurance data and related products
  • Technology:
  • PLSQL, SQL, Excel, VBA, Qlikview, Tableau
PLSQLSQLExcelVBAQlikviewTableau+2

Student nokia developer

2 roles

Senior Developer

Jun 2013Jul 2013 · 1 mo · PESIT

  • Mentored student teams working on Mobile and Web Technologies.
  • Designed User Interfaces on Windows Application for Microsoft Lumia devices.

Summer Intern

Jun 2012Jul 2012 · 1 mo · PESIT

  • Built Windows Mobile Applications using XNA Silverlight and XNA Game studio 4.0.

Education

University College Dublin

Master of Science - MS — Social Data Analytics

Sep 2021Aug 2022

PES University

Bachelor of Engineering (BE) — Information Science Engineering

Jan 2010Jan 2014

Canara College

Pre University Education — Science

Jan 2008Jan 2010

St. Aloysius English School, Urwa, Mangalore

SSLC

Jan 1996Jan 2008

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