Ivan Pozdnyakov - Data Analyst, ex Yandex

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Network Power<100 people

Roles

🐦66%

Design

✔️50%

🧑‍🔬50%

Engineer

Geos

🇮🇳66%

India

🇭🇰16%

Hong Kong

🇹🇭16%

Thailand

Work Background

FBS Inc.Marketing analytics team lead

Jan. 2023MauritiusPerformance advertising optimisation, leveraging data-driven strategies for efficient and impactful advertising campaign execution.

YandexMarketing analytics team lead

Apr. 2020 - Dec. 2022Moscow, RussiaMy team leading role starts with COVID-19 pandemic and related challenges in business and working processes. Honestly all that problems seems not so serious now, after two years of pandemic life and the onset of new heartbreaking events. The main results so far - increased headcount from 5 to 8 (+4 and -1) and selected flexible and robust roles for each teammate - came up with and managed the development of ML engine for marketing push-notifications (lead to CTR increase from 3,7% to 12%) - optimised lifetime value to customer acquisition cost ratio by redistribution of marketing budget between channels in mobile apps campaigns - owned analytics tags and conversions postbacks for supporting best performing marketing spends - led remarketing campaigns with AB setup for the first time in the company - managed automatisation of econometrics modelling by advanced configuration of marketing data flow

YandexMarketing Analyst

May. 2017 - Apr. 2020Moscow, Russian FederationMain results and impact during first 3 years of work: - Made numeric model of the Yandex Plus loyalty program (ecosystem subscription) from the scratch. Performed marketing analytics tasks in first years of growth from 700k to 3M subscribers - calculating funnels, retentions, acquisition costs, etc. Provided basic product analytics for launches of new offers within subscription. - Calculated earliest in the company LTV estimation of smart speaker (Station with Alice) based on subscription model and optimise duration of trial period. - Applied Recency-Frequency-Monetary segmentation for mobile apps. Developed a parametrised SQL code in ClickHouse+JavaScript to automatically create targeting segments for digital advertising. Provided self-service analytics dashboard with RFM diagrams for marketing and product managers. RFM segments help to launch and optimise dozens of advertising campaigns with total spends about $100k monthly. - Assisted in carrying of massive Marketing Research surveys by coding Python scripts for automatisation. Made processing and visualisation of surveys data and enriched the surveys by external data like users behaviour and profiles. - Designed sensitive metric for fast evaluation of emailing quality.

Moscow Institute of Physics and Technology (State University) - MIPT, PhystechTeaching Assistant

Sep. 2014 - Mar. 2018DolgoprudnyHolding seminars and laboratory practicums within courses “Circuits and signals” (2nd year students), “Nonlinear processing of signals” (3rd year students) at the department of Radio Engineering and Cybernetics.

Russian Research Center "Kurchatov Institute", Institute for Theoretical and Experimental PhysicsPhD Student

Dec. 2009 - Mar. 2018MoscowParticipating in Compact Muon Solenoid (CMS) experiment at LHC accelerating facility (Geneva, CERN). Measurements of hadronic jets dynamics with wide rapidity separation in proton-proton collisions, statistical studies of jet's correlations in azimuthal plane, search for BFKL effects.