- 📧 alexander.bessonov@outlook.com
- 📱 530.675.4199
nonsleepr
https://linkedin.com/in/bessonov
- Technical Lead for multiple client-facing projects.
- Presenter at Teradata conferences and Data Science user groups.
- Certified Teradata Solutions Developer.
- Experienced in database performance tuning, physical data modeling, data cleansing and data visualization.
- Received appreciation and recognition award from a Fortune 500 company.
Big Data Engineer
Oct 2016 to Current
- Developed a Distributed Trace system.
- Pioneered the use of Spark's Structured Streaming within the company and shared the experience on internal meetups.
- Implemented a Docker-based integration testing framework for Continuous Integration.
- Designed and Implemented in Python a watchdog service for 24/7 monitoring of the Spark Streaming jobs.
- Onboarded and mentored new team members making an expanded team efficient in a short amount of time.
- Implemented an async Python HBase client library.
- Standardized the Continuous Integration pipeline to improve team's code quality.
Data Scientist/Data Engineer
Apr 2015 to Oct 2016
- Built and deployed models to forecast various time-series data.
- Led development of HBase-based graph database and RESTful microservices utilizing the database and Cloudera Search (Solr).
- Led development of streaming graph visualization web app (based on D3.js, Sigma.js and Oboe.js).
- Designed and implemented entity resolution algorithms and frameworks for SNA project using Apache Spark GraphX.
- Implemented R and Python packages to help data analysts to obtain required data.
- Implemented frameworks to run R and Python code on Hadoop cluster.
- Implemented web scrapers for structured and semi-structured data.
- Deployed several external data acquisition pipelines.
Manager, Decision Analytics
Jul 2014 to Apr 2015
- Developed complex Alteryx analytic application to model Return on Advertising Spend using Alteryx, R and Tableau.
- Implemented report generation framework.
- Performed text-mining on insurance claims data using Revolution Analytics R and Python.
- Developed streaming data processing pipeline in Python.
Advanced Analytics Consultant
Jul 2011 to Jul 2014
Technical presales consultant for Teradata data analytics solutions: Teradata Aster, Teradata in-database analytics using R.
- Implemented several Proof-of-Concept solutions, some of which led to sales,
for different customers:
- Market basket and customer behavior analysis for retail customer;
- Text mining in social network for credit scoring and bank's customer segmentation;
- Telco's subscriber segmentation algorithm using statistical computing language (R) and in-database calculations on Teradata.
- Organized internal knowledge-sharing sessions to advocate data analytics products and possible catch-points within the organization.
- Revived the Teradata's in-database analytical solution (teradataR) by fixing and updating its code.
- Reverse-engineered and documented telco's legacy code for churn prediction solution using Neo4j graph database.
Client: Sberbank, Russia
- As part of a Master Data Management (MDM) initiative, replaced a set of scattered, manually executed scripts with an automated process to improve data quality by addressing communication bottlenecks and execution errors with the manual process.
- Spearheaded implementation of MDM migration project growing Teradata recognition along with bringing additional $200k in revenues.
- Automated data quality reporting by re-implementing Data Quality Management (DQM) solution.
- Maintained ERwin data model for MDM solution.
- Made changes to physical database design to improve query performance.
- Implemented stored procedures based framework for DQM.
Senior Programmer → System Analyst → Senior System Analyst
Feb 2007 to Jun 2011
Client: Intesa Sanpaolo, Russia
- Assigned as an Application Developer for newly introduced banking system, quickly gained necessary knowledge to successfully lead a team of five developers to implement a new system.
- Migrated data from legacy banking systems to the new solution and achieved significant improvements in system performance by optimizing queries and tuning databases to handle the increased data volumes.
- Worked with system's users to collect requirements and translated them into Statements of Work that were later implemented as product features by my team.
- Designed a set of frameworks to integrate new banking system with WebSphere MQ which resulted in a unification of the project's code base and decreased code complexity which further increased system performance.
Programmer
Nov 2005 to Jan 2007
- Developed several C and Pascal applications for Mysis Equation core banking system.
- Designed and implemented data analytics architecture for an antifraud project using Python OLAP framework, Neo4j and PostrgreSQL.
- Contributed to OSS projects.
- Implemented several web-scrapers to extract media resources, user profile information, product prices, URLs etc.
- Reverse engineered and re-implemented UDP-based protocol used to communicate with video surveillance equipment.
Master's degree: Electronic Systems 2006
Thesis Topic: Automatic number plate recognition.
- Machine Learning
- Data Analysis
- Statistics
- Computing for Data Analysis
- MongoDB for Developers
- Natural Language Processing
- Image and Video Processing
- Social Network Analysis
- Credit Risk Management
- Computational Investing
- Real-Time analytics with Apache Storm
- Data Visualization and D3.js
- Functional Programming Principles in Scala
- Principles of Reactive Programming
- Algorithms
- Actor Model
- Akka
- Apache HBase
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Asynchronous Programming
- Automation
- Business Analysis
- Business Intelligence
- CI/CD
- Data Analysis
- Data Integration
- Data Mining
- Data Quality
- Data Warehousing
- Database Performance Tuning
- Databases
- ETL
- Git
- Graph Processing
- Logical Data Modeling
- Machine Learning
- Natural Language Processing
- NoSQL
- Python
- R
- Reverse Engineering
- SQL
- Scala
- Teradata
- Text Mining