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I'm HIMANI GADVE.

Data Analytics Engineer | Machine Learning | Data Viz.

Exabeam Inc.| Ex-Amazon | Ex-IBM |

About
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About me

A data Enthusiast, highly motivated by tough problems. I enjoy data driven storytelling.

This website contains my journey &

my favorite pieces of work

Skills

My Expedition

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Exabeam Inc.               

Jul '23 - Present

Data Engineer - Read about project here

​​

  • Developed and automated a workflow for optimizing BigQuery table partitioning and clustering using Google Cloud Composer (Apache Airflow), leading to a 70% improvement in query performance and reduced data storage costs.

  • Designed and implemented a scalable FinTech anomaly detection framework (FTDQ) that increased true positive accuracy by 50% and reduced false positives by 55%, saving over 8 engineering hours per week. Led the migration of 100+ jobs from legacy systems and onboarded 70+ anomaly detection checks, facilitating adoption by 8 teams.

  • Led migration and adoption efforts for a FinTech data quality framework, overseeing the transition of over 100 jobs and onboarding of 70+ anomaly detection checks, while significantly improving detection accuracy and efficiency.

Tools: BigQuery, Google Cloud Composer, Apache Airflow, Python, Dataflow, Pub/Sub.

Amazon.com Inc.               

Jun '21 - Aug '23

Data Engineer - Read about project here

Design, implement, and automate deployment of distributed system for collecting and processing log events from multiple sources.

Developed and implemented a GDPR-compliant data engineering workflow for EU employee data governance using Airflow, S3,
SQS, Glue, Redshift, and Tableau.

 

Designed and implemented a data pipeline solution that improved data processing speed by ~30% and reduced errors by 83%,
resulting in significant cost savings and increased operational efficiency for the organization

Designed and implemented a scalable, fault-tolerant data warehousing solution on Amazon Redshift, leveraging AWS services for
an IQR-based anomaly detection framework to ensure high-quality and consistency of data


Tools: Python, SQL, ApacheSpark, Scala, PySpark.  , AWS QuickSight, Apache Airflow, AWS DynamoDB, AWS Redshift Spectrum, AWS S3, AWS EMR, AWS Glue.

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San Francisco State University (GPA 3.8)

Jan '20 - Dec '21

Masters of Science in Business Analytics

San Francisco State University (GPA 3.8)

Coursework : Data Warehousing, Machine Learning, Statistics, Data Management, Data visualization.

Leadership: Writing Tutor to mentor and teach students on utilization structure in formation of their writing work.

Credit Suisse - Wipro Technologies

Jan '19 - Dec '19

Senior Data Analyst

Credit Suisse-Investment banking domain as Senior Data Analyst.
In-Scope Products: Investment (all types), Deposits (Savings and DDA), Time (CD), Insurance
Analysis: Churn Prediction, Cohort Analysis, Survival Analysis.

Developing REST API’s from Data Sources and Service Connectors for exposing the aggregated functionality to Consumers. Performance tuned Informatica cloud mappings/ ICRT services using the data access services. Worked on Performance Tuning, identifying and resolving performance bottlenecks at various levels like sources, targets, mappings, and sessions. Performed Unit testing, System testing to verify the data loads and services are returning the results as per SLA.

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IBM Inc.
Sep '17 - Jan '19

Senior Data Analyst

At a position as Senior Data Analyst  Accomplished 92 % system automation using automated business processing (ABP) in ETL Informatica. Enhanced insurance policy creation workflows in PCS, reducing production run time by 7 hrs./ week

 

Enhanced insurance policy creation workflows in PCS for IAR, RIA and for brokers. Analyzed DB2 utilization in production jobs and enhanced SQL queries for impacted jobs. Implemented critical ABP flows for health insurance products in PCS. Handled large data using IBM DB2 and created weekly reports of the total compensation paid versus the amount that failed and was also responsible for doing the Balancing and Check.

American Express (Amex)- Syntel)

Oct '14 - Sep '17

Senior Data Analyst

 

American Express- Credit card domain as an Analyst programmer.

Experience in Data warehousing, Data Analysis and Data Migration, Development, ETL, Maintenance, Unit Testing and Documentation
 

Data Warehouse experience using Informatica Power Center 9.x (Source Analyzer, Repository Manager, Mapping Designer, Transformation Designer, Workflow Manager, Monitor) as ETL tool on DB2/Oracle/ Microsoft SQL Server Database

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Bachelor of Engineering
May '10 - Aug '14

Electronics and Telecommunication

Coursework: Computer Programming, Differential equations, Linear Algebra, Calculus, Microcontrollers, Circuit design

Journey
Projects

SKILLS

 

1-Basic   2-Novice   3-Intermediate   4-Advanced   5-Expert

PYTHON

BIG DATA (HADOOP, PRESTO, SPARK)

DATA MINING

DATA VIZ (TABLEAU, LOOKER, POWER BI)

AWS CLOUD

APACHE AIRFLOW

4

DATABASE(SQL, BIGQUERY, POSTGRESQL, HIVE)

5

VERSION CONTROL SYSTEM (GIT & GITHUB)

4.5

MACHINE LEANING

5

APACHE AIRFLOW

4.5
4
3.5
5
4.5

GOOGLE CLOUD PLATFORM

4.5
4.5
4.5

DATA ARCHITECTURE

Projects

Transforming Big Data into Big Results: Meet Amazon's Data Engineer

01

Transactional solution to APache Spark's overwrite behavior

02

Dynamic data file compaction in Apache Spark using Delta Lake

03

Orchestration using Apache Airflow

04

Real time data streaming using Kafka cluster and data transformation using Apache Flink

05

Orchestrate a pipeline using AWS Step Function to perform Consumer Engagement Funnel Analysis & User Acquisition Optimization

06

Orchestrating a Data Engineering workflow to improve Lifetime Value(LTV) efficiency

07

Revolutionizing Headcount Reporting: One-Stop Solution for Metrics Management

Data
Vizualization

01

Shopping - Customer Behavior Data Visualiza

02

Automattic - User Engagement Analysis

Blog
Post

Data Viz.
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Testimonials
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TESTIMONIALS

Senior Product Analyst, Amdocs

I have known Himani for 4 years while she was working for Atos-Syntel. She has been instrumental in the solution building and evangelization of the tools that the team built for international markets. I have been very impressed with her Analytical, problem solving, coding, and communication skills. She is a team player, hard-working and customer-centric. I was impressed by Himani's ability to handle multiple projects and critical way of thinking. Himani showed great data analysis and data integration skills and proved to be a very dedicated, self-motivated, and reliable resource. Himani is also very easy to work with and possesses great communication skills. I believe she is an asset to any company.

 

—  Punit Singh Rana

Contact

GET IN TOUCH!

contact

Milpitas, CA 95035

Tel: +1 415 980 9479

himanigadve@gmail.com

  • LinkedIn
  • Tableau Data Viz
  • Github

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