Mahesh Gondi, Data / Machine Learning Engineer

Check out Mahesh's expertise

Data / ML Engineer with 9y experience in online Travel, Retail and Food industry using AI/ML and Big-Data technologies as a full stack data expert.

Experience in designing greenfield data platforms & end-to-end pipelines, ML solutions, and analytics.

Below is brief summary of impactful achievements from past 5 years of experience. Happy to share and elaborate during the initial conversations.

Data Engineering Stack

- BigQuery / Snowflake

- Airflow

- Python

- SQL

Cloud Environment Stack

- Kubernetes

- Docker

- AWS

- GCP

Machine Learning

- Scikit

- XGBoost

- Pandas

- Jupyter

Industry Experience

- News and Media | Analytics for Revenue, Marketing and real-time analytics + Data Engineering + ML Model deployment.

- Travel | Fraud Detection for tickets booked online, Marketing optimization and Smart search sorting.

- Retail | Setting up Data Platform from scratch.

- Food & Hospitality | Data Engineering, Analytics cost optimization

upday GmbH & CO. KG

Sr. Data / ML Engineer (Freelance)

DIGITAL & IT

May 2022 - October 2022 (6 months)

Berlin, Germany

At Upday’s short-staffed Data Team, I worked as an end-to-end data engineer, from developing data pipelines to creating machine learning solutions and performing analysis. Impact on monetisation & user-experience were the determining factors for prioritization.

Monetisation Analytics - Identifying ad revenue loss, setting up continuous data delivery streams for user consent strings(IAB-TCF) and other ad-revenue sources.

Data Engineering - operating data machinery with Airflow, Kubernetes, Lambda, and Snowplow in AWS and Snowflake.

News Classification - Deployment and manage existing classifier for news articles. Develop PoC using Bert-Transformers for classification task.

snowflake aws dbt Python

Quandoo GmbH

Data Architect

DIGITAL & IT

April 2021 - October 2021 (7 months)

Berlin, Germany

Infrastructure Cost Optimisation - Reduced BigQuery cost by €10k/month through query optimisation and systematically improving the underlying data lake storage.

Data Pipelines - Develop, deploy, and maintain various data lifecycle processes with tools like Kubernetes Cluster, Kafka, Cloud Storage, CI/CD, DBT and BigQuery. Setup plans for the mid-long term self-service data-platform.

gcp bigquery Kubernetes airflow dbt

Omio GmbH

Data Scientist / Engineer

DIGITAL & IT

July 2016 - January 2020 (3 years and 7 months)

Berlin, Germany

Omio is a multimodal online travel search & booking platform, based primarily in Europe.

Smart Sorting - Learning-to-rank model aimed at providing users with a unified result view for different travel modes.

Fraud Prevention - Designed and developed in-house ML pipeline to detect payment fraud.

Marketing Performance Optimisation - Analyze SEM performance from business impact and competitor standpoint, improve efficiency of key campaigns by predicting optimal bid price-point.

Development Infrastructure - Provide tools allowing team members to spin up their own jupyter environment on GCP and scale certain pandas-library operations.

Price Accuracy - Enforce price accuracy of the ticket under certain caching/look-to-book constraints.

Scikit-learn Python Amazon Redshift BigQuery xgboost

Check out Mahesh's experience