Summary
Overview
Work History
Education
Skills
Certification
Interests
Timeline
Generic

Parhitosh Sharma

Dehradun

Summary

Adept Data Analyst with proven expertise in data governance and analytics, honed at Moody’s Analytics and ANZ Banking Group. Excelled in developing dashboards and Model analytics, enhancing product optimization and stakeholder engagement. Skilled in R Programming and SQL, with a knack for transforming complex data into actionable insights. Demonstrated leadership in cross-functional projects, improving data quality and management processes.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Data Analyst

Moody’s Analytics
05.2024 - Current
  • Developed multiple Dashboards for external stakeholders for Product utilization as clients and proposed areas of optimization.
  • Produced monthly engagement metrics with User Behavior patterns throughout the month within products.
  • Developed Data Models to simplify analytics through various data sources.
  • Assessed and tested current data activities to propose new projects for business.

Data Analyst

ANZ Banking Group
06.2021 - 05.2024
  • Data Quality analysis on data feeding for Model Validation as part of Risk Technology. Model analysis included models from Transaction Monitoring Systems, Trade Based Money Laundering, etc.
  • Single – handedly worked on end-to-end development of MI Dashboard(FCP DQ Surveillance Dashboard) involving everyday Data Quality & Integrity analysis using R, RShiny and SQL. The dashboard also highlighted tracking of issues using API connections to Jira and Confluence(used web scraping).
  • Development included building ETL pipelines from Oracle databases to unix servers and building web application based dashboard using RShiny, JS, HTML and CSS throughout data transformation pipelines.
  • Participated actively to develop surveillance dashboard -daily reporting to monitor data quality of the sources utilized in Anti Money Laundering(AML) modules at the bank. Converted data transformation frameworks into ETL processes.
  • Provided insights to fit enterprise data governance framework into the dashboard through ad-hoc analysis.
  • Developed Knime Workflows for Business Application(Physical Data Location) to generate end to end Business Intelligence metrics by CI Mapping using primarily ServiceNow Data and using data from additional data sources.
  • Worked with Data Stewards from AR&C, Institutional, NZ and ESM to get the CI Mapping fixed in CMDB as part of Data Quality Uplift and enablement of Cloud Simplification across ANZ.
  • Worked on a POC to industrialize Data Management using CP4D as a primary tool within the Group Technology.
  • Data Wrangling and Analysis across various databases and data lakes for tech assets using various tools like SSMS, KNIME, etc. for generating actionable insights to aid Management decisions.
  • Supported the team with conducting Data Impact Assessments for Group Technology to mitigate Data Risk and decision making across application developments across ANZ..
  • Created a data pipeline for regularly calculating CDE Health Metrics of Windows Servers.

Education

M.Tech - Metallurgical Engineering & Material Science

Indian Institute of Technology, Bombay
Mumbai, India
06-2021

B.Tech - Mechanical Engineering

Dayalbagh Educational Institute, Agra
Agra, India
06-2019

Skills

    Data Analytics and Management

    Data Governance

    Numerical Modeling

    Power BI

    AWS S3

    RDS/Snowflake

    R Programming

    R Shiny

    Tableau

    Python

    SQL

Certification

  • Specialization: Applied Data Science with Python[2020]
    University of Michigan hosted by Coursera
    ▪ Courses Involved: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, and more.
  • Course: Data Analytics[2020]
    Learners’ Space conducted by Analytics Club, UGAC, IIT Bombay
    ▪ Learned to Import Datasets, Cleaning and Preparing the Data, Summarizing the DataFrame, Model
    Development (Linear regression, logistic regression, and regularised regression) and Model Evaluation.
  • Attended short course on “Nonlocal Mechanics Approaches for Modeling Localized Deformations(NMAMLD 2020)” at IIT Hyderabad.[2020]

Interests

Data Science Business Intelligence Process Design Stakeholder Management Statistical Analysis Data Modelling

Timeline

Data Analyst

Moody’s Analytics
05.2024 - Current

Data Analyst

ANZ Banking Group
06.2021 - 05.2024

M.Tech - Metallurgical Engineering & Material Science

Indian Institute of Technology, Bombay

B.Tech - Mechanical Engineering

Dayalbagh Educational Institute, Agra
Parhitosh Sharma