Data Consultant Resume New York - Hire IT People

SUMMARY

Customer - focused data consultant wif 8 years of professional experience in cleaning and munging of large datasets, designing streamlined data pipelines and building and implementing analytical solutions to complex data problems.

TECHNICAL SKILLS

Programming Languages: Python (pandas, SciPy, NumPy, scikit-learn, matplotlib) | R (dplyr, ggplot2) | SQL | Bash Scripting

Management: Project Management (PMP® #2163276, PSM I) | Cross-functional team management

PROFESSIONAL EXPERIENCE

Data Science Fellow

Confidential, New York

Responsibilities:

Developed an interactive R Shiny application, to visualize, map and analyze prices, popularity and volatility of ~2000 cryptocurrencies as well as their energy consumption using time series data spanning from 2008 to 2018.
Investigated the factors dat make a project successful by scraping ~5000 completed projects from kickstarter.com using Scrapy to provide actionable insights for individuals and companies by defining and estimating various KPIs.
Built machine learning pipeline and ensembling techniques to predict housing prices using Kaggle dataset which employed Ridge, Lasso, ElasticNet, Random Forest, XGBoost.
Analyzed company data to define, formulize, estimate and visualize sales metrics such as MRR (monthly recurring revenue), LTV (lifetime value) and CAC (customer acquisition cost) using Python, R and Tableau.

Data Consultant

Confidential

Responsibilities:

Managed a team of 4 people. Maintained multi-channel contextual digital customer engagement product. Delivered C-level projects; prepared HLD and FDD documents, created project plans, estimated effort, allocated resources, monitored timelines, resolved issues and blockers, facilitated customer review sessions and organized user acceptance tests and sign-off.
Delivered a marketing campaign wif 9% return rate and generated 250K $ revenue in 3 months.
Improved time to market by ~20% of developments by implementing Agile methodology wifin the team.
Achieved higher market coverage (from 87% to 96%) by identifying technical issues in the system.
Reduced daily customer panel table creation time from 10 to 6 hours by SQL query optimization.

Expert DWH/BI Developer

Confidential

Responsibilities:

Collaborated wif various business teams in analysis of legacy DW to build a company-wide data dictionary consisting of definitions of ~1000 business terms and their corresponding estimation methods.
Accomplished simplification by reducing number of reports from ~700 to 84 via consolidation of similar and removal of redundant reports, which boosted the performance and reduced average report generation time to ~35 mins.
Saved the company 50K $/year by initiating and delivering a project to develop an advanced regulative reports generation platform, resolving bugs and reducing average regulative reports creation time from 4 hours to 30 mins.

Technical Support Senior Engineer

Confidential

Responsibilities:

Worked as Level-3 application admin for prepaid voice/data charging, location-based services and SMS platforms.
Increased application up-time to 99.5% by implementing scripts which check for disk usage and send SMS messages.
Instructed 1st level monitoring team on management of application servers and Linux system administration.

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