Nilesh Nayak — Data Scientist
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
Stackforce AI infers this person is a Data Engineering and Analytics expert in the Healthcare and FinTech sectors.
Location: Dublin, County Dublin, Ireland
Experience: 10 yrs 6 mos
Skills
- Data Engineering
- Big Data Analytics
- Data Analysis
- Data Visualization
- Statistical Data Analysis
- Data Modeling
- Data Science
Career Highlights
- 10+ years in Big Data Engineering and Analytics.
- Expert in healthcare and financial domains.
- Proven track record in data-driven product development.
Work Experience
Optum
Senior Data Analyst (3 yrs 6 mos)
Envestnet | Yodlee
Associate Data Scientist (1 yr 6 mos)
CRISIL Global Research & Analytics
Senior Research Analyst (2 yrs 6 mos)
PricewaterhouseCoopers - Service Delivery Center (PwC SDC)
Data Analyst (1 yr 1 mo)
American International Group (AIG)
Programmer Analyst Associate (1 yr 11 mos)
Student Nokia Developer
Senior Developer (1 mo)
Summer Intern (1 mo)
Education
Master of Science - MS at University College Dublin
Bachelor of Engineering (BE) at PES University
Pre University Education at Canara College
SSLC at St. Aloysius English School, Urwa, Mangalore