Mahesh Gondi

AI Researcher

Berlin, Berlin, Germany6 yrs 6 mos experience

Highly Stable

Key Highlights

Expert in building scalable data platforms from scratch.
Proven track record in machine learning and data engineering.
Strong experience in cloud infrastructure and cost optimization.

Stackforce AI infers this person is a Data Engineer and Data Scientist with expertise in SaaS and cloud-based solutions.

Contact

Skills

Core Skills

Data EngineeringMachine LearningCloud InfrastructureData Science

Other Skills

KubernetesAirflowSnowflakeAmazon Web Services (AWS)Google Cloud Platform (GCP)Fishtown Analytics dbtGoogle BigQueryXGBoostRecommender SystemsJavaScalaSparkHadoopHiveOLAP systems

About

Data Scientist(3y), Data Engineer (5y), Software Engineer(7y) I am a Freelance Data Scientist, currently open to projects. I have experience in identifying business usecase, iterative research and development of Machine-Learning Models, packaging and productionization of the model into necessary micro-service, setting up Data Platform infrastructure from scratch. Current work stack - Python, Docker, XGBoost, Scikit, OLAP, Google Cloud Platform, Amazon Web Services Previously worked with Java, Scala, Spark, Hadoop, Hive, OLAP systems Currently a Data Scientist at Omio for past 3 years, solving challenges in the travel domain 1. Journey Recommendation 2. Fraud Detection 3. Cache Optimization 4. Improve Marketing Efficiency ex-Yahoo!, ex-GoogleSummerOfCode, ex-BoomerangCommerce

Experience

6 yrs 6 mos

Total Experience

1 yr 7 mos

Average Tenure

Current Experience

Untitled data company

Data Consultant

Jun 2024 – Present · 1 yr 11 mos · Remote

Allianz

Sr. Data Engineer

Jan 2023 – Oct 2024 · 1 yr 9 mos · Remote

Upday

Sr. Data Engineer - Freelance

May 2022 – Oct 2022 · 5 mos · Berlin, Germany

Data Engineer(50%), Analyst(30%), Machine-learning(20%)
Analytics - Advertisement & Monetisation operational analytics. Re-evaluate product metrics definitions used across the company.
Data Engineer - Develop, deploy, and maintain various data lifecycle processes with tools like Airflow, Kubernetes, Lambda and Snowplow in AWS and Snowflake.
ML Engineer - Deployment and manage existing classifier for news articles.. Develop PoC using Bert-Transformers for classification task.

KubernetesAirflowSnowflakeAmazon Web Services (AWS)Data EngineeringMachine Learning

Quandoo | online restaurant booking

Data Architect - Freelancer

Apr 2021 – Oct 2021 · 6 mos

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.

KubernetesGoogle Cloud Platform (GCP)Fishtown Analytics dbtGoogle BigQueryData EngineeringCloud Infrastructure

Omio

Data Scientist

Aug 2016 – Jan 2020 · 3 yrs 5 mos · Berlin Area, Germany

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.

Google Cloud Platform (GCP)XGBoostRecommender SystemsGoogle BigQueryData ScienceMachine Learning

Visual meta gmbh

Backend Engineer

Apr 2016 – Jul 2016 · 3 mos · Berlin Area, Germany

Worked and improved upon the existing platform(based on Impala and Spotfire). Included several new data sources into the platform, assisted BI team and ensuring platform stability were primary part of the brief role I played at Visual Meta GmbH

Boomerang commerce

Software Engineer

Sep 2014 – Feb 2016 · 1 yr 5 mos · Bengaluru Area, India

Built the data-platform from scratch to automatically scale up with the growing data size. It involves
1. Consumption - reads data of various types(csv,bcp,xml) and sources(sftp,s3,mysql,redshift) to provide a simplified and scalable access
2. Transformation - applies complex transformations for downstream applications(etl,insights,etc)
3. Validation - applies intensive anomaly detection and according calls out warnings/alerts
4. Publish - pushes data to various destinations(mysql,s3,redshift) to be used by other downstream applications.
Results were cutdown in processing time from ~5hr to ~45 min, highly scalable, purely config driven and a resultant maintainable workflow to run various other applications(etl, insights, etc.).