Alisher Siddikov
Data Scientist | Experimentation | Recommender Systems | Gen AI | Database Management | ML Model Training | Deep Learning | Scalable Infrastructure Building & Testing
- Role
- Sr Data Scientist, Boeing Data Science & Analytics Aims at Boeing
- Location
- Bellevue, WA, US
- LinkedIn followers
- 500 followers
About Alisher Siddikov
As a data scientist, I leverage my ML- and AI-based analytics background, business intelligence reporting acumen, and process automation skillset to shape business and product decisions, creating best-in-class user experiences. My approach is simple: I assess organizational analytics infrastructures to provide actionable data insights. I do this by employing cutting-edge data mining, visualization, and forecasting tools and techniques. At Boeing, for instance, I helped the e-commerce team improve its website performance and address high customer churn by identifying the root cause, segmenting the client base, and building predictive user models. I’m further developing dynamic pricing and product recommendation models to offer price elasticity and boost sales. The other key ingredient for my success is staying at the forefront of innovation. For instance, at the same company, I am currently facilitating the transition of our projects to the Google Could Platform as part of its scalability efforts. For this purpose, I have tested new infrastructure features and created user-introduction training for 100+ team members organization-wide.Some of my projects included- Cut down live customer service chats by 50% by building a FAQ page; used NLP analysis to identify user needs- Optimized marketing campaign performance by leading customer engagement analytics- Cut data management time from 2 days to 15 minutes by leveraging a centralized tracking dashboard.If you are looking for someone who employs advanced analytical tools to solve complex business problems and create robust reporting frameworks, email me: a••••••••@gmail.comSpecialties: Data Wrangling & Modeling, NLP & AI, Data Visualization & Automation, Business Planning, Regression Models, Product Vision Development, Software Stack Innovation, Data-Driven Algorithm Testing, Cross-Functional Team Leadership.
Experience
Sr Data Scientist, Boeing Data Science & Analytics Aims
Jun 2018 — Present · Seattle, WA, US
Here, I won a series of promotions to facilitate data-based business decision-making for the company’s e-commerce team. I achieved this by employing cutting-edge data analytics methodologies to maintain our product security, reliability, and scalability. In this regard, I worked with onsite and offshore data scientists, architects, BI analysts, product owners, and engineers to design, mature, and implement product vision, scope and strategies. Boeing acquired several subsidiaries and needed to integrate their websites into our e-commerce platform. I worked with another data scientist to develop executive-level dashboards, recommending cost-efficient process development. I’m also developing dynamic pricing and product recommendation engines for global services by analyzing the root cause of customer churn, segmenting customer preferences, and revamping the website with best-fit product and easy navigation options. I also helped determine campaign performance for the marketing department by leading customer engagement analytics and building dashboards. As a result of my efforts, I was able to predict a 60% reduction in customer churn, redirect traffic to the website, and boost sales. I did not limit myself to improving my department’s operations but also provided data-based insights for multiple other projects. For instance, I streamlined information management during all-hands meetings by performing NLP analysis to determine team sentiments for the senior leadership. I also provided training to new data scientists and BI analysts and set up GitLabs for documenting project lifecycles.Lastly, I drove continuous process automation. I reduced business reporting time by consolidating multisource data into centralized dashboards and automating financial models. Skills: RFM Analysis, Topic Modeling, K-Means Clustering, NLP, Adobe Analytics, IBM Cognos Analytics, Tableau, Agile Environment.
Education
Northwestern University
Master of Science - MS, Data Science
University of Washington
Professional Certification, Data Science
2017 — 2018
Boise State University
BBA Business Economics with Emphasis in Mathematics
2006 — 2010
Skills
- Risk Management
- Data Analysis
- Pivot Tables
- Microsoft Excel
- Powerpoint
- Market Planning
- P&L
- Python
- R
- Leadership
- Business Relationship Management
- Budgeting
- Text Analytics
- Analytical Skills
- Vba
- Management
- Business Intelligence
- Economic Research
- Linear Regression
- Microsoft Office Suite (Powerpoint, Excel, Access, Outlook)
- Forecasting
- Financial Planning
- Excel
- Financial Reporting
- Html
- Quantitative Analysis & Forecasting
- Machine Learning
- Analysis
- Predictive Analytics
- Data Science
- Business Planning
- Revenue Recognition
- Ibm Cognos
- Project Management
- Sql
- Cost Analysis
- Business Analysis
- Financial Accounting
- Process Improvement
- Economic Development
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.